id int64 0 5.98k | vector list | publication stringclasses 8 values | claps int64 0 14.8k | responses int64 0 212 | title stringlengths 1 170 | link stringlengths 37 145 | reading_time int64 1 67 |
|---|---|---|---|---|---|---|---|
5,500 | [
0.04074894264340401,
-0.01592773012816906,
-0.016749972477555275,
0.04737196862697601,
0.005015582777559757,
-0.0400664247572422,
-0.014426269568502903,
0.022081593051552773,
-0.009247006848454475,
-0.03858516737818718,
0.019914334639906883,
0.012092511169612408,
-0.012792591005563736,
0.0... | Towards Data Science | 141 | 0 | Why would you use WebAssembly to put scikit-learn in the browser? | https://towardsdatascience.com/why-would-you-use-webassembly-to-put-scikit-learn-in-the-browser-77671e8718d6 | 8 |
5,501 | [
-0.03268004208803177,
-0.005417638923972845,
-0.04768993332982063,
0.01680823601782322,
-0.019040768966078758,
0.0033218390308320522,
-0.0021758577786386013,
-0.012909455224871635,
0.011506342329084873,
-0.034722909331321716,
-0.0029788350220769644,
-0.0038342636544257402,
-0.015929928049445... | Towards Data Science | 163 | 2 | Introduction to Causality in Machine Learning | https://towardsdatascience.com/introduction-to-causality-in-machine-learning-4cee9467f06f | 8 |
5,502 | [
-0.0022756976541131735,
0.03079681470990181,
0.001513269729912281,
-0.008882285095751286,
0.0017235733103007078,
0.00915637705475092,
0.0013357395073398948,
-0.018182354047894478,
-0.01956816203892231,
-0.05740252137184143,
0.03375530242919922,
0.03354927524924278,
-0.025136010721325874,
-... | Towards Data Science | 140 | 0 | Building My First Machine Learning Model | NBA Prediction Algorithm | https://towardsdatascience.com/building-my-first-machine-learning-model-nba-prediction-algorithm-dee5c5bc4cc1 | 8 |
5,503 | [
-0.010295648127794266,
-0.012299904599785805,
0.007579576689749956,
0.013530482538044453,
-0.011386220343410969,
0.009352733381092548,
0.03813358023762703,
-0.0006553564453497529,
-0.009296809323132038,
-0.06598882377147675,
0.00013645434228237718,
0.02942490577697754,
-0.016395200043916702,... | Towards Data Science | 161 | 3 | New Data Shows a Lower Covid-19 Fatality Rate | https://towardsdatascience.com/new-data-shows-a-lower-covid-19-fatality-rate-1d69361a50af | 13 |
5,504 | [
-0.007411119528114796,
0.001264232094399631,
0.0010421404149383307,
0.0023868856951594353,
0.030486110597848892,
-0.008901607245206833,
0.0064096529968082905,
-0.06350897252559662,
0.025569401681423187,
-0.051393281668424606,
-0.018784739077091217,
0.019649691879749298,
0.012662224471569061,... | Towards Data Science | 70 | 1 | Drug Discovery with Deep Learning. Under 10 Lines of Codes. | https://towardsdatascience.com/drug-discovery-with-deep-learning-under-10-lines-of-codes-742ee306732a | 9 |
5,505 | [
0.03112681210041046,
0.03864995762705803,
0.01613614149391651,
0.01997045800089836,
-0.014686460606753826,
-0.02131565473973751,
0.002241038018837571,
0.012875084765255451,
-0.040893878787755966,
-0.023610876873135567,
0.015985483303666115,
-0.010540341958403587,
-0.030453456565737724,
0.0... | Towards Data Science | 284 | 0 | Why Does Everyone Use Kaggle? | https://towardsdatascience.com/why-does-everyone-use-kaggle-db1bdf1f1b1a | 6 |
5,506 | [
-0.0299190953373909,
0.00017243738693650812,
0.006271077785640955,
0.04217999055981636,
0.005430908408015966,
0.013315835036337376,
-0.03976620361208916,
-0.007294191047549248,
-0.0032405799720436335,
-0.019613143056631088,
0.012691471725702286,
0.05604937672615051,
0.008121517486870289,
0... | Towards Data Science | 64 | 0 | Inside: Logistic Regression | https://towardsdatascience.com/inside-logistic-regression-9312e22d319d | 11 |
5,507 | [
-0.023780955001711845,
0.0070741865783929825,
-0.034649115055799484,
0.019442250952124596,
-0.008097579702734947,
0.026315884664654732,
-0.004845274146646261,
0.017396988347172737,
0.003898956347256899,
-0.028178391978144646,
-0.02312721498310566,
0.05222804471850395,
-0.018086520954966545,
... | Towards Data Science | 22 | 2 | Predictive Analytics: Bayesian Linear Regression in Python | https://towardsdatascience.com/bayesian-linear-regression-project-in-python-forecast-water-consumption-under-the-impact-of-cea62c2693e4 | 9 |
5,508 | [
-0.04767978563904762,
-0.012156572192907333,
0.0059875622391700745,
0.014546310529112816,
-0.03213885426521301,
0.027705153450369835,
-0.012713049538433552,
-0.02699408493936062,
0.0074158175848424435,
-0.04945407807826996,
0.0032103192061185837,
0.030904116109013557,
-0.03385722264647484,
... | Towards Data Science | 115 | 0 | Gaussian Process Regression on Molecules in GPflow | https://towardsdatascience.com/gaussian-process-regression-on-molecules-in-gpflow-ee6fedab2130 | 5 |
5,509 | [
-0.023992303758859634,
0.04659542068839073,
-0.009731939062476158,
0.017983658239245415,
-0.010242640972137451,
0.008418028242886066,
0.05186378210783005,
-0.03462192416191101,
0.022032849490642548,
-0.04989223927259445,
-0.011507948860526085,
-0.0009488313226029277,
0.0055430191569030285,
... | Towards Data Science | 80 | 0 | A Mathematical Explanation of AdaBoost in 5 Minutes | https://towardsdatascience.com/a-mathematical-explanation-of-adaboost-4b0c20ce4382 | 5 |
5,510 | [
-0.034971073269844055,
-0.003302626544609666,
-0.00950015988200903,
0.02079702727496624,
-0.04140403866767883,
-0.0024913251399993896,
0.01565679907798767,
0.023136422038078308,
-0.02017199993133545,
-0.045381247997283936,
-0.0183887779712677,
0.01580541767179966,
-0.014547103084623814,
0.... | Towards Data Science | 85 | 1 | Hello World! for Machine Learning | https://towardsdatascience.com/hello-world-for-machine-learning-4dc9af0a7430 | 7 |
5,511 | [
0.043133560568094254,
-0.023897947743535042,
-0.022250013425946236,
0.003089294070377946,
-0.03127218037843704,
-0.04007173702120781,
0.0007978298235684633,
0.02507314831018448,
0.007964303717017174,
-0.03289790824055672,
-0.011819670908153057,
0.04188636317849159,
-0.03970528766512871,
-0... | Towards Data Science | 6 | 0 | Read NetCDF Data with Python | https://towardsdatascience.com/read-netcdf-data-with-python-901f7ff61648 | 4 |
5,512 | [
-0.007798296865075827,
-0.012782938778400421,
0.005775740835815668,
0.015270797535777092,
-0.002577172825112939,
-0.0009951936081051826,
-0.021869413554668427,
-0.013230658136308193,
-0.024697208777070045,
-0.04458050802350044,
-0.012098618783056736,
0.047506287693977356,
-0.0010848133824765... | Towards Data Science | 26 | 0 | Impact of Regularization on Deep Neural Networks | https://towardsdatascience.com/impact-of-regularization-on-deep-neural-networks-1306c839d923 | 6 |
5,513 | [
0.039945028722286224,
0.025915415957570076,
-0.060159992426633835,
0.024220017716288567,
-0.012724820524454117,
0.04301207885146141,
-0.006481262855231762,
-0.031467005610466,
0.012536074034869671,
-0.03606947511434555,
0.01196286454796791,
0.018508680164813995,
0.014339578337967396,
-0.03... | Towards Data Science | 65 | 0 | Building an application of question answering system from scratch | https://towardsdatascience.com/building-an-application-of-question-answering-system-from-scratch-2dfc53f760aa | 6 |
5,514 | [
-0.005572340916842222,
-0.0007147891446948051,
-0.01969132386147976,
0.022045141085982323,
0.03527204692363739,
0.04997466132044792,
-0.04692622274160385,
0.006514121312648058,
-0.024012450128793716,
-0.047296684235334396,
-0.0005627770442515612,
0.051339324563741684,
-0.01291078981012106,
... | Towards Data Science | 13 | 1 | Predicting Apple Stock Prices with Neural Networks | https://towardsdatascience.com/predicting-apple-stock-prices-with-neural-networks-4aefdf10afd0 | 7 |
5,515 | [
-0.011323992162942886,
-0.024551553651690483,
-0.012446025386452675,
-0.004930373281240463,
-0.01425908599048853,
-0.01116795651614666,
0.029785504564642906,
-0.018804136663675308,
0.0026413805317133665,
-0.013204478658735752,
-0.029637156054377556,
0.04361366108059883,
-0.019399508833885193... | Towards Data Science | 201 | 0 | Deep Reinforcement Learning With Python | Part 2 | Creating & Training The RL Agent Using Deep Q Network (DQN) | https://towardsdatascience.com/deep-reinforcement-learning-with-python-part-2-creating-training-the-rl-agent-using-deep-q-d8216e59cf31 | 7 |
5,516 | [
0.007322528399527073,
0.011425234377384186,
0.010690463706851006,
0.04444056749343872,
0.0009131247061304748,
-0.00415849732235074,
-0.0013852933188900352,
-0.013543982990086079,
-0.004741917364299297,
-0.024922950193285942,
-0.007130875717848539,
-0.021448731422424316,
-0.02870391681790352,... | Towards Data Science | 18 | 0 | Building A Cloud-Native, Cloud-Agnostic Data lake | https://towardsdatascience.com/building-a-cloud-native-cloud-agnostic-data-lake-376aa2f2aacd | 4 |
5,517 | [
0.05827054753899574,
0.002546351868659258,
-0.0012548061786219478,
0.037091802805662155,
0.026171850040555,
-0.029656946659088135,
0.00391970993950963,
-0.03458192199468613,
0.026832817122340202,
-0.054519832134246826,
0.029431568458676338,
0.03330324590206146,
-0.01652744598686695,
-0.045... | Towards Data Science | 34 | 0 | How to Install MySQL and Create an Employees Sample Database | https://towardsdatascience.com/how-to-install-mysql-and-create-an-employees-sample-database-80dd9c5d4767 | 6 |
5,518 | [
0.008428324945271015,
0.02315092273056507,
-0.03258657455444336,
0.04064813628792763,
0.033388372510671616,
-0.010119827464222908,
-0.02031880058348179,
0.007882925681769848,
-0.027995169162750244,
-0.02026648446917534,
-0.004785135854035616,
0.06549256294965744,
0.011815543286502361,
-0.0... | Towards Data Science | 75 | 0 | Credit Card Fraud Detection with Machine Learning | https://towardsdatascience.com/credit-card-fraud-detection-with-machine-learning-6cf8e7c78639 | 5 |
5,519 | [
-0.04325553774833679,
0.008365077897906303,
-0.02610759250819683,
0.014938322827219963,
-0.006180161610245705,
0.019627217203378677,
0.021545730531215668,
-0.02623041719198227,
0.0007774521945975721,
-0.03733626380562782,
-0.017365729436278343,
0.012908844277262688,
-0.0378216914832592,
-0... | Towards Data Science | 5 | 1 | Solve the MNIST Image Classification Problem | https://towardsdatascience.com/solve-the-mnist-image-classification-problem-9a2865bcf52a | 5 |
5,520 | [
0.01521459873765707,
0.02889319509267807,
-0.04095854610204697,
0.02303934283554554,
-0.02234802581369877,
-0.017094094306230545,
0.04397781565785408,
-0.031109515577554703,
0.013027033768594265,
-0.04234493523836136,
-0.007389289326965809,
0.02091832086443901,
-0.01200112421065569,
0.0019... | Towards Data Science | 66 | 0 | Explain Yourself! Leveraging Language Models for Common Sense Reasoning | https://towardsdatascience.com/explain-yourself-leveraging-language-models-for-common-sense-reasoning-1c988b8b24cd | 1 |
5,521 | [
-0.0036328707356005907,
-0.023778237402439117,
-0.013208244927227497,
0.03203963115811348,
-0.009245163761079311,
0.013445591554045677,
0.018322819843888283,
-0.03516093268990517,
-0.006898971740156412,
-0.07085160911083221,
-0.012563369236886501,
0.04780222475528717,
-0.020887665450572968,
... | Towards Data Science | 124 | 0 | Decoding Strategies that You Need to Know for Response Generation | https://towardsdatascience.com/decoding-strategies-that-you-need-to-know-for-response-generation-ba95ee0faadc | 6 |
5,522 | [
0.010955186560750008,
-0.006712188944220543,
0.003950934857130051,
0.040576037019491196,
-0.029206620529294014,
-0.01996002532541752,
0.056554488837718964,
-0.012837675400078297,
0.009334391914308071,
-0.023086898028850555,
0.0047769141383469105,
0.0016783936880528927,
-0.027943773195147514,... | Towards Data Science | 12 | 0 | Running Apache Flink with RocksDB on Azure Kubernetes Service | https://towardsdatascience.com/running-apache-flink-with-rocksdb-on-azure-kubernetes-service-904181d79f72 | 6 |
5,523 | [
-0.003530659480020404,
0.005693771410733461,
0.003226602915674448,
0.026528792455792427,
0.0006124034989625216,
0.010051203891634941,
-0.009899935685098171,
-0.00899550225585699,
-0.020162051543593407,
-0.039563532918691635,
-0.017468301579356194,
0.01721799373626709,
0.018400274217128754,
... | Towards Data Science | 77 | 2 | The Importance of Domain Experience in Data Science | https://towardsdatascience.com/the-importance-of-domain-experience-in-data-science-b46bcc6fba64 | 3 |
5,524 | [
-0.009616754949092865,
-0.03273971378803253,
-0.005249570589512587,
0.011387231759727001,
0.01454008836299181,
0.017930759117007256,
-0.01033138670027256,
-0.030416760593652725,
-0.006707747932523489,
-0.03947107121348381,
0.0042635370045900345,
0.025200607255101204,
-0.010093651711940765,
... | Towards Data Science | 164 | 0 | Using Machine Learning to Model the Growth of COVID-19 | https://towardsdatascience.com/using-machine-learning-to-model-the-growth-of-covid-19-2f3b0af304bb | 10 |
5,525 | [
-0.007615400943905115,
-0.005348783917725086,
-0.023058148100972176,
-0.005669266916811466,
-0.012324412353336811,
-0.030363207682967186,
0.03932769596576691,
-0.00058317044749856,
-0.01116886455565691,
-0.029755307361483574,
-0.021396761760115623,
0.042595960199832916,
0.0068547953851521015... | Towards Data Science | 52 | 0 | Learn Python & ML with Kaggle | https://towardsdatascience.com/kaggle-from-a-to-z-639816120fb0 | 7 |
5,526 | [
-0.0329868420958519,
-0.04564240202307701,
0.012003523297607899,
0.018362656235694885,
-0.019877800717949867,
-0.016494469717144966,
-0.014553062617778778,
-0.050062086433172226,
-0.020600920543074608,
-0.04016987979412079,
-0.031567733734846115,
0.04894773289561272,
-0.0323050282895565,
-... | Towards Data Science | 11 | 0 | Dynamic filtering in Power BI | https://towardsdatascience.com/dynamic-filtering-in-power-bi-5a3e2d2c1856 | 4 |
5,527 | [
-0.0029996437951922417,
-0.030425166711211205,
-0.021901750937104225,
0.042950790375471115,
-0.02173851616680622,
0.0006207015831023455,
-0.026141207665205002,
-0.02505514957010746,
0.00014330905105452985,
-0.050212327390909195,
-0.03877044469118118,
0.056741949170827866,
-0.0092044137418270... | Towards Data Science | 7 | 0 | Data Wrangling — Raw to Clean Transformation | https://towardsdatascience.com/data-wrangling-raw-to-clean-transformation-b30a27bf4b3b | 6 |
5,528 | [
0.0037193552125245333,
0.02681831084191799,
-0.016605131328105927,
-0.0031903781928122044,
-0.011710197664797306,
0.01783902943134308,
0.0029872485902160406,
0.003612708067521453,
0.0009699087240733206,
-0.023600077256560326,
0.01128890085965395,
0.021782979369163513,
0.020202994346618652,
... | Towards Data Science | 21 | 2 | How I survived two years without Excel | https://towardsdatascience.com/how-i-survived-two-years-without-excel-53cb20aca5b7 | 4 |
5,529 | [
0.01438708882778883,
-0.00031351103098131716,
-0.026116695255041122,
0.004648512229323387,
-0.028139203786849976,
0.0429726243019104,
-0.02014041319489479,
-0.04308459535241127,
-0.029349422082304955,
-0.01191133912652731,
0.0031863648910075426,
0.024814913049340248,
0.006067428272217512,
... | Towards Data Science | 13 | 0 | Pandas cut And qcut Method Explained | https://towardsdatascience.com/pandas-cut-and-qcut-method-explained-ef3110695dab | 7 |
5,530 | [
0.006955471821129322,
0.0010608114534989,
-0.003548471722751856,
-0.01354232057929039,
-0.02364250458776951,
0.006249937228858471,
0.0402338020503521,
0.024818748235702515,
-0.041115902364254,
-0.011113125830888748,
-0.016783323138952255,
0.0026126066222786903,
-0.003691314719617367,
0.005... | Towards Data Science | 4 | 0 | Redshift or Snowflake! | https://towardsdatascience.com/redshift-or-snowflake-e0e3ea427dbc | 5 |
5,531 | [
-0.010876540094614029,
0.019859211519360542,
-0.019319308921694756,
0.033858850598335266,
-0.004441309720277786,
0.0035960839595645666,
-0.010596966370940208,
0.009513722732663155,
-0.026052769273519516,
-0.03915327414870262,
-0.01557591650635004,
0.004948833491653204,
-0.017494583502411842,... | Towards Data Science | 9 | 0 | Beautiful Boxplots With Statistical Significance Annotation | https://towardsdatascience.com/beautiful-boxplots-with-statistical-significance-annotation-e1b314927fc5 | 6 |
5,532 | [
-0.0037605012767016888,
0.019161874428391457,
-0.001592361251823604,
-0.01892731338739395,
0.018196454271674156,
0.0013322160812094808,
0.004877913743257523,
-0.015480643138289452,
-0.02669123001396656,
-0.03998086601495743,
-0.024338264018297195,
0.021321143954992294,
-0.011251265183091164,... | Towards Data Science | 77 | 0 | Removing ‘The Wall’ in ML Ops | https://towardsdatascience.com/removing-the-wall-in-ml-ops-44dac377b4c6 | 6 |
5,533 | [
-0.006337899249047041,
0.009395032189786434,
-0.01662721298635006,
0.009754360653460026,
-0.03861444443464279,
0.006998996250331402,
0.042447369545698166,
0.05108571797609329,
-0.044397301971912384,
0.008420818485319614,
-0.030215047299861908,
0.013453884981572628,
-0.015470101498067379,
-... | Towards Data Science | 6 | 0 | Learning Python 10 minutes a day #9 | https://towardsdatascience.com/learning-python-10-minutes-a-day-9-60ecdf101cb5 | 6 |
5,534 | [
-0.010818298906087875,
-0.003635307075455785,
-0.03922072425484657,
0.024076057597994804,
-0.00989220105111599,
-0.0017720594769343734,
-0.01615471951663494,
0.0029451774898916483,
0.0329701192677021,
-0.00825981143862009,
-0.0074799563735723495,
0.04302772879600525,
0.0000614786331425421,
... | Towards Data Science | 101 | 0 | The Intuition Behind the No Free Lunch Theorem | https://towardsdatascience.com/intuitions-behind-no-free-lunch-theorem-1d160f754513 | 5 |
5,535 | [
-0.008912721648812294,
-0.010291270911693573,
0.0385022796690464,
0.014655332081019878,
0.009101958014070988,
-0.014435181394219398,
0.05967171490192413,
0.009997870773077011,
0.007309074513614178,
-0.034295715391635895,
-0.004950449801981449,
0.03974783420562744,
0.06287679076194763,
-0.0... | Towards Data Science | 18 | 0 | The final countdown: Deploying my Deep Learning Project | https://towardsdatascience.com/the-final-countdown-deploying-my-deep-learning-project-29bf970e320b | 6 |
5,536 | [
0.03667835146188736,
-0.00444879662245512,
0.012875198386609554,
0.011746787466108799,
0.007035290822386742,
0.018983645364642143,
0.04999750480055809,
0.01576811447739601,
0.0016012046253308654,
-0.006730932276695967,
-0.0027585900388658047,
0.037808164954185486,
-0.01006968505680561,
-0.... | Towards Data Science | 110 | 0 | What your WhatsApp messages say about your happiness, in 5 easy Python steps | https://towardsdatascience.com/what-your-whatsapp-messages-say-about-your-happiness-in-5-easy-python-steps-26ee2fb52333 | 4 |
5,537 | [
-0.04195307567715645,
-0.031749363988637924,
-0.016933713108301163,
0.022192947566509247,
0.007331938482820988,
0.012527999468147755,
-0.014931564219295979,
-0.0046575418673455715,
0.007624715566635132,
-0.032109763473272324,
-0.009434184990823269,
0.05105564743280411,
0.00968163087964058,
... | Towards Data Science | 0 | 0 | Deep Ordinal Logistic Regression | https://towardsdatascience.com/deep-ordinal-logistic-regression-1afd0645e591 | 8 |
5,538 | [
0.008671985007822514,
0.029753878712654114,
-0.024529777467250824,
0.009457303211092949,
0.009476340375840664,
0.0494043342769146,
-0.0021900527644902468,
-0.027119720354676247,
0.00007157511572586372,
-0.05363582819700241,
-0.01574164442718029,
0.009179499000310898,
-0.007750701624900103,
... | Towards Data Science | 52 | 0 | Building and Deploying an Alphabet Recognition System | https://towardsdatascience.com/building-and-deploying-an-alphabet-recognition-system-7ab59654c676 | 7 |
5,539 | [
-0.01330552063882351,
0.009275790303945541,
0.018695104867219925,
0.024985073134303093,
-0.007669546641409397,
0.024227958172559738,
-0.0007574122864753008,
-0.008395364508032799,
-0.008350102230906487,
-0.053148385137319565,
-0.015644066035747528,
0.03088999353349209,
-0.0018991261022165418... | Towards Data Science | 120 | 0 | Graphical Functions made from an effortless sketch | https://towardsdatascience.com/graphical-functions-made-from-an-effortless-sketch-266ccf95c46d | 5 |
5,540 | [
0.004038927610963583,
0.05115973949432373,
0.0035601474810391665,
-0.00038485947879962623,
0.012809617444872856,
-0.011421474628150463,
-0.000223723822273314,
-0.04246320575475693,
0.03732919320464134,
-0.02960982359945774,
-0.009435354731976986,
0.022589221596717834,
0.014397233724594116,
... | Towards Data Science | 317 | 0 | Determining compatibility | https://towardsdatascience.com/determining-compatibility-b952d941c22a | 8 |
5,541 | [
-0.06503354758024216,
-0.010217944160103798,
0.007025440689176321,
0.016058214008808136,
-0.00047911397996358573,
0.04402471333742142,
0.017425164580345154,
-0.02451501600444317,
0.035809602588415146,
-0.051960308104753494,
-0.028607580810785294,
0.021425900980830193,
0.0017240653978660703,
... | Towards Data Science | 67 | 0 | Final Showdown of Machine Learning Algorithms | https://towardsdatascience.com/ultimate-showdown-of-machine-learning-algorithms-af68fbb90b06 | 11 |
5,542 | [
0.014244028367102146,
0.014312396757304668,
0.0183859895914793,
0.02114066481590271,
0.011378251947462559,
0.024903714656829834,
0.021821675822138786,
-0.025214234367012978,
-0.04342920705676079,
-0.018395856022834778,
-0.01265012938529253,
0.03298287093639374,
-0.02924981154501438,
-0.059... | Towards Data Science | 14 | 0 | AI-enhanced Apollo 16 footage puts you on the moon in 4K | https://towardsdatascience.com/ai-enhanced-apollo-16-footage-puts-you-on-the-moon-in-4k-4ed7b39822fd | 3 |
5,543 | [
-0.01559312455356121,
-0.008182847872376442,
-0.0026483379770070314,
0.005112792365252972,
-0.02977134846150875,
-0.001003056182526052,
0.041680026799440384,
-0.02025427110493183,
-0.01896851882338524,
-0.03258122503757477,
-0.022868508473038673,
0.043076008558273315,
-0.014810789376497269,
... | Towards Data Science | 2 | 0 | <strong class="markup--strong markup--h3-strong">Got GAM? a flexible modeling approach that preserves interpretability</strong> | https://towardsdatascience.com/gam-a-flexible-modeling-approach-that-preserves-interpretability-a68a4f235b6e | 5 |
5,544 | [
0.024321088567376137,
0.02972383052110672,
-0.007279357872903347,
0.042389165610075,
-0.018831908702850342,
-0.017582673579454422,
0.01275462843477726,
0.001074913190677762,
-0.0053231315687298775,
-0.05058696120977402,
0.005413695238530636,
0.0053846631199121475,
-0.005482944659888744,
-0... | Towards Data Science | 6 | 1 | Setting up Snowflake for your analytics stack | https://towardsdatascience.com/setting-up-snowflake-for-your-analytics-stack-b252b063f20c | 7 |
5,545 | [
-0.018511541187763214,
0.0040253340266644955,
0.02775750681757927,
-0.004167447332292795,
0.0010152205359190702,
-0.009413549676537514,
-0.008083967491984367,
-0.029773619025945663,
-0.025504225865006447,
-0.020343253389000893,
-0.0364811010658741,
0.0240660160779953,
-0.02429073676466942,
... | Towards Data Science | 7 | 0 | DPMO Chart with Python | https://towardsdatascience.com/dpmo-chart-with-python-f495308905cc | 4 |
5,546 | [
0.013548830524086952,
-0.0280442014336586,
0.0220795925706625,
0.053294286131858826,
0.03246608003973961,
-0.006085050757974386,
-0.0239096786826849,
0.03743857145309448,
-0.07394694536924362,
-0.040263354778289795,
-0.030543804168701172,
0.0406002402305603,
-0.011183053255081177,
0.023029... | Towards Data Science | 16 | 0 | Big data: yesterday, today, and tomorrow | https://towardsdatascience.com/big-data-yesterday-today-and-tomorrow-389de1a46cd8 | 3 |
5,547 | [
-0.023786980658769608,
0.0004397764860186726,
-0.02053876779973507,
0.029275789856910706,
0.007690069731324911,
-0.02521415241062641,
-0.0205635167658329,
0.006260259542614222,
0.00939449854195118,
-0.07393630594015121,
0.007695106323808432,
0.04701763391494751,
0.03378056734800339,
-0.030... | Towards Data Science | 2 | 0 | The Best Tool for Decision Making in Baseball | https://towardsdatascience.com/the-best-tool-for-decision-making-in-baseball-24d1a7eb96b4 | 5 |
5,548 | [
0.05584721267223358,
0.023197581991553307,
-0.013196843676269054,
0.031299300491809845,
0.021973058581352234,
0.02583480253815651,
0.023340579122304916,
0.013127348385751247,
0.0141684515401721,
-0.05295761302113533,
0.017992481589317322,
0.03418474271893501,
0.00847530271857977,
0.0057442... | Towards Data Science | 3 | 0 | How we construct a world with poor technology | https://towardsdatascience.com/how-we-are-constructing-a-world-of-ill-technology-90f5e0ac907e | 6 |
5,549 | [
0.03780927136540413,
0.03533259034156799,
0.007534843869507313,
0.004124745260924101,
-0.02609870582818985,
0.03181857615709305,
0.01330244354903698,
0.03351869061589241,
-0.04316053166985512,
0.02385018952190876,
0.036493394523859024,
0.016539903357625008,
0.02020316570997238,
-0.00807246... | Towards Data Science | 8 | 0 | What’s your Face Worth? | https://towardsdatascience.com/whats-your-face-worth-4c55cb4ed67d | 6 |
5,550 | [
0.034675393253564835,
-0.011130855418741703,
-0.056745272129774094,
0.060705654323101044,
-0.008013560436666012,
-0.012311575002968311,
0.007000782527029514,
0.005233218427747488,
0.017753399908542633,
-0.00017271687102038413,
-0.0042065042071044445,
-0.012540220282971859,
-0.011103245429694... | Towards Data Science | 13 | 0 | Data-backed articles on American policing and race | https://towardsdatascience.com/data-backed-articles-on-american-policing-and-race-75f74f08afa2 | 3 |
5,551 | [
0.018925631418824196,
-0.010129991918802261,
-0.022141460329294205,
0.04010765627026558,
-0.0003894542169291526,
-0.0034477959852665663,
0.01696128584444523,
-0.014938941225409508,
-0.024976881220936775,
-0.058594271540641785,
-0.021762941032648087,
0.05762312561273575,
0.002650264650583267,... | Towards Data Science | 7 | 0 | Machine Learning Energy Demand Prediction Project — Part 2 Storytelling using Graphs | https://towardsdatascience.com/machine-learning-energy-demand-prediction-project-part-2-storytelling-using-graphs-9c62a7dfadd2 | 9 |
5,552 | [
0.003005662700161338,
0.00009917976422002539,
0.004652668256312609,
0.034160442650318146,
-0.022027933970093727,
-0.01089155301451683,
0.029263336211442947,
0.001453401055186987,
-0.0016640210524201393,
-0.0036460028495639563,
-0.0034384476020932198,
0.01580553688108921,
-0.02234316617250442... | Towards Data Science | 8 | 0 | The Data Generalist’s Diary: Conjuring Data from Nothing | https://towardsdatascience.com/data-diary-conjuring-data-6419c64fb478 | 3 |
5,553 | [
0.05334961786866188,
0.03999295085668564,
-0.027015792205929756,
-0.03740037605166435,
0.01022836472839117,
0.02326739951968193,
0.027320850640535355,
0.0340648777782917,
-0.01323285885155201,
-0.04263678193092346,
0.033525142818689346,
0.06543245166540146,
0.005489267874509096,
-0.0221718... | Better Humans | 1,600 | 13 | What I Eat to Build Muscle and Lose Body Fat | https://medium.com/better-humans/what-i-eat-to-build-muscle-and-lose-body-fat-7b9580966826 | 16 |
5,554 | [
0.046033501625061035,
0.007990146055817604,
0.03580048307776451,
0.027061467990279198,
-0.00004485826502786949,
-0.02644192986190319,
-0.012383079156279564,
0.02497880719602108,
-0.02541760727763176,
-0.00944344699382782,
0.025550412014126778,
0.02482757717370987,
0.0057381573133170605,
0.... | UX Collective | 284 | 2 | Google Pay is missing the one thing Google is famous for — a UX case study | https://uxdesign.cc/google-pay-is-missing-the-one-thing-google-is-famous-for-5e9bf8cc1ea1 | 7 |
5,555 | [
0.04905582219362259,
-0.021074220538139343,
-0.005592984147369862,
0.016674546524882317,
0.0016525526298210025,
-0.025150319561362267,
0.048877350986003876,
0.037205956876277924,
-0.044831279665231705,
-0.01802534982562065,
-0.022672366350889206,
-0.029548339545726776,
-0.013374988920986652,... | UX Collective | 81 | 0 | Why you should visit Helsinki and Brussels before designing a multilingual website | https://uxdesign.cc/visit-helsinki-and-brussels-before-designing-a-multilingual-website-9304cd01f5ba | 8 |
5,556 | [
0.05145377665758133,
-0.011373857036232948,
0.01570863649249077,
0.02688511647284031,
0.0031965060625225306,
0.016057178378105164,
0.01964421011507511,
-0.026270849630236626,
-0.009888018481433392,
-0.05983138456940651,
-0.036359403282403946,
0.0254891999065876,
-0.011706816032528877,
0.00... | UX Collective | 613 | 3 | Tech designers: 6 steps to fight climate change | https://uxdesign.cc/tech-designers-6-steps-to-fight-climate-change-d3420f0048e1 | 7 |
5,557 | [
0.0012852088548243046,
-0.03104330226778984,
0.045427821576595306,
0.01213807426393032,
0.020418206229805946,
-0.007493374869227409,
0.00969306007027626,
-0.011990311555564404,
0.0042683640494942665,
-0.04951809346675873,
-0.03274645283818245,
0.03629275783896446,
0.008526497520506382,
-0.... | UX Collective | 146 | 0 | WWDC 2020 iOS design highlights | https://uxdesign.cc/wwdc-2020-ios-design-highlights-d13483a89c10 | 6 |
5,558 | [
0.07025100290775299,
0.034011099487543106,
-0.007471248507499695,
0.02572646364569664,
0.030073633417487144,
-0.007963168434798717,
0.01623871922492981,
-0.014493626542389393,
-0.005985804833471775,
-0.021384024992585182,
0.02433702163398266,
0.02099660038948059,
0.002063306048512459,
-0.0... | UX Collective | 228 | 1 | What’s the difference between guidelines, design systems, and conventions? | https://uxdesign.cc/true-false-or-semantics-795e8d6626e | 3 |
5,559 | [
-0.01702745445072651,
-0.02378392405807972,
0.007695978507399559,
0.011153381317853928,
-0.0055492413230240345,
0.01579970307648182,
0.04221178591251373,
0.05305446684360504,
0.01033810619264841,
-0.04553980380296707,
-0.048474494367837906,
0.05187530443072319,
-0.005078280810266733,
-0.02... | UX Collective | 35 | 2 | Personas are now called “Roles” | https://uxdesign.cc/personas-are-now-called-roles-4bc9e7f5a99 | 7 |
5,560 | [
0.05775590240955353,
0.008909501135349274,
-0.03539768233895302,
0.009991166181862354,
0.009389545768499374,
0.016128966584801674,
-0.005811959970742464,
-0.00992497242987156,
0.01791577972471714,
-0.038897186517715454,
0.01912200078368187,
0.01680159382522106,
0.008393396623432636,
-0.022... | UX Collective | 30 | 0 | How to design notifications from scratch | https://uxdesign.cc/how-to-design-notifications-from-scratch-4d4cc877b2ff | 11 |
5,561 | [
0.03146827220916748,
0.021200694143772125,
-0.008613311685621738,
0.02633638307452202,
0.012214778922498226,
-0.025611430406570435,
-0.004078013822436333,
-0.02110443077981472,
-0.009397149085998535,
-0.056106798350811005,
-0.014877164736390114,
0.050976045429706573,
-0.030283812433481216,
... | UX Collective | 88 | 1 | Why US law effectively mandates all software design be responsive | https://uxdesign.cc/why-us-law-effectively-mandates-all-software-design-be-responsive-4737474366d9 | 5 |
5,562 | [
0.021926235407590866,
0.026938656345009804,
-0.0306652020663023,
0.03337850421667099,
0.006007067859172821,
0.00517371715977788,
-0.029546696692705154,
-0.006533128209412098,
0.02341250143945217,
-0.06323639303445816,
-0.011758712120354176,
0.04000629112124443,
0.030061841011047363,
0.0159... | UX Collective | 50 | 0 | Design exploration, why it’s important to start a project with it | https://uxdesign.cc/design-exploration-why-its-important-to-start-a-project-with-it-e70a7e46bd67 | 5 |
5,563 | [
0.015236570499837399,
0.010933729819953442,
0.009255019016563892,
0.002044147113338113,
-0.009860451333224773,
-0.004622397478669882,
-0.00031691481126472354,
0.019926222041249275,
-0.016190094873309135,
-0.02767775021493435,
0.021145503968000412,
0.009121710434556007,
0.011436320841312408,
... | UX Collective | 355 | 0 | How did I embark on my interaction design journey from the world of economics? | https://uxdesign.cc/how-did-i-embark-on-my-interaction-design-journey-from-the-world-of-economics-72b42b88ad0d | 8 |
5,564 | [
0.03274637833237648,
0.012225019745528698,
0.016977448016405106,
0.008158600889146328,
0.018242839723825455,
0.002055567456409335,
-0.002054064068943262,
0.0002358664060011506,
-0.019380835816264153,
-0.029619788751006126,
-0.001220162957906723,
0.037530623376369476,
0.020980551838874817,
... | UX Collective | 82 | 0 | New research on digital addiction (and what to think about it) | https://uxdesign.cc/new-research-on-digital-addiction-and-what-to-think-about-it-735391e94054 | 7 |
5,565 | [
-0.008498110808432102,
-0.0035846016835421324,
-0.016629904508590698,
-0.0006579257897101343,
0.012277732603251934,
0.0013344651088118553,
0.027457345277071,
-0.029980411753058434,
-0.005981953348964453,
-0.02890593372285366,
-0.012590433470904827,
0.014317196793854237,
0.025843819603323936,... | UX Collective | 130 | 0 | How to solve product problems within a remote feature workshop with Figma | https://uxdesign.cc/how-to-solve-product-problems-within-a-remote-feature-workshop-using-figma-1da18c1decd9 | 5 |
5,566 | [
-0.0010462213540449739,
0.012476488016545773,
0.007167883682996035,
0.0010722611332312226,
0.019105253741145134,
0.022590583190321922,
-0.0012588414829224348,
-0.04500408098101616,
0.008059372194111347,
-0.04596489667892456,
-0.0009659641655161977,
0.058507706969976425,
0.01677345111966133,
... | UX Collective | 27 | 0 | Three steps for measuring customer experience in a digital business | https://uxdesign.cc/three-steps-for-measuring-customer-experience-in-a-digital-business-7a427820545f | 5 |
5,567 | [
0.02950848452746868,
0.023522978648543358,
-0.03574471175670624,
0.02816026471555233,
-0.008229424245655537,
0.008601690642535686,
-0.015189055353403091,
0.010762597434222698,
0.003987109288573265,
-0.06260949373245239,
-0.0015162337804213166,
0.02196654863655567,
-0.005505337379872799,
0.... | UX Collective | 22 | 0 | Cultivating seeds of institutional imagination | https://uxdesign.cc/cultivating-seeds-of-institutional-imagination-84b47ddf9787 | 7 |
5,568 | [
0.0009276402415707707,
0.01663144677877426,
0.023533057421445847,
0.0027889269404113293,
0.007446558680385351,
0.019031642004847527,
0.014092006720602512,
-0.017286056652665138,
-0.0203341506421566,
-0.04106515645980835,
-0.019788669422268867,
0.008810545317828655,
-0.019317438825964928,
-... | UX Collective | 71 | 0 | <em class="markup--em markup--h3-em">Brief to-do lists </em> | https://uxdesign.cc/brief-to-do-lists-from-sustainable-designer-leaders-82107aca8611 | 5 |
5,569 | [
-0.044934824109077454,
-0.003931946121156216,
-0.03524462506175041,
0.011584706604480743,
-0.035042569041252136,
0.00725521007552743,
0.04362795874476433,
-0.022259261459112167,
0.02414671517908573,
-0.020877506583929062,
0.036065347492694855,
0.009870975278317928,
-0.04102879762649536,
0.... | The Startup | 697 | 2 | Apache HUDI vs Delta Lake | https://medium.com/swlh/apache-hudi-vs-delta-lake-295c019fe3c5 | 9 |
5,570 | [
-0.02838381938636303,
-0.0178499948233366,
0.034365199506282806,
0.026666659861803055,
0.0025072372518479824,
-0.0069566392339766026,
0.054003700613975525,
-0.0029235715046525,
0.00954496767371893,
-0.03243710845708847,
-0.016911277547478676,
0.004186746198683977,
-0.04709403216838837,
-0.... | The Startup | 411 | 0 | Set up an Express.Js App With Passport.Js and Mongodb for Password Authentication | https://medium.com/swlh/set-up-an-express-js-app-with-passport-js-and-mongodb-for-password-authentication-6ea05d95335c | 12 |
5,571 | [
0.038508426398038864,
-0.0036713264416903257,
-0.005126425996422768,
0.035824064165353775,
-0.005491708405315876,
0.019917724654078484,
-0.014361835084855556,
0.043163470923900604,
0.0006791984778828919,
-0.044313300400972366,
-0.01891271024942398,
0.03874187916517258,
-0.00864698551595211,
... | The Startup | 546 | 0 | Dashboards in Python Using Dash — Creating a Data Table using Data from Reddit | https://medium.com/swlh/dashboards-in-python-using-dash-creating-a-data-table-using-data-from-reddit-1d6c0cecb4bd | 13 |
5,572 | [
0.050383903086185455,
0.04369259253144264,
-0.0263628251850605,
0.03027006797492504,
0.015200586058199406,
-0.013840964995324612,
0.0058783660642802715,
0.014629419893026352,
-0.02680603601038456,
-0.029768740758299828,
-0.013212236575782299,
0.041842248290777206,
-0.026065977290272713,
-0... | The Startup | 125 | 2 | Hacking Flask Applications | https://medium.com/swlh/hacking-flask-applications-939eae4bffed | 4 |
5,573 | [
0.04647953808307648,
0.026049161329865456,
-0.038919106125831604,
0.027191143482923508,
0.02184334024786949,
-0.016511907801032066,
0.03395656868815422,
0.03924926742911339,
-0.017363708466291428,
-0.029520973563194275,
0.03275331109762192,
0.007393194828182459,
-0.007913092151284218,
0.00... | The Startup | 695 | 12 | This Is Why Keeping Zero Dollars in Your Savings Account Helps You | https://medium.com/swlh/this-is-why-keeping-zero-dollars-in-your-savings-account-helps-you-708a01fa6700 | 5 |
5,574 | [
-0.0329379104077816,
0.015439818613231182,
0.007928145118057728,
-0.0012717439094558358,
0.005815661512315273,
-0.006238995119929314,
0.06648729741573334,
-0.005716119427233934,
-0.022681456059217453,
-0.01604066602885723,
-0.03754507377743721,
0.023334475234150887,
0.006651354022324085,
-... | The Startup | 109 | 0 | The Communication Secret Of The Successful Servant Leader | https://medium.com/swlh/the-communication-secret-of-the-successful-servant-leader-1bb60916cfb8 | 7 |
5,575 | [
0.002420104341581464,
0.022317806258797646,
0.04597115144133568,
-0.011602535843849182,
0.0036139413714408875,
0.026528751477599144,
0.044961873441934586,
-0.0010617211228236556,
-0.004014295060187578,
-0.0354544036090374,
0.00524949561804533,
0.04046090319752693,
0.043278925120830536,
0.0... | The Startup | 255 | 5 | The 5 Stages of the Podcast Listener Journey | https://medium.com/swlh/podcast-listener-journey-a35196de444b | 12 |
5,576 | [
0.04195812717080116,
0.00004491273284656927,
0.031822457909584045,
0.032688502222299576,
0.026193892583251,
-0.005686077289283276,
0.048816971480846405,
0.019101429730653763,
-0.03752455487847328,
-0.036818791180849075,
0.028619298711419106,
0.03991527110338211,
0.037314701825380325,
-0.01... | The Startup | 223 | 2 | Want to Get Into Management? Here Are 6 Ways To Tell If You’re Ready | https://medium.com/swlh/want-to-get-into-management-here-are-6-ways-to-tell-if-youre-ready-54409b00ccda | 5 |
5,577 | [
0.03653259575366974,
-0.0007359844748862088,
0.005029147025197744,
0.015655821189284325,
-0.013010622002184391,
-0.0051869358867406845,
0.035808950662612915,
0.01931607909500599,
-0.011366589926183224,
-0.03300610929727554,
0.011481834575533867,
0.08503533899784088,
0.025666287168860435,
-... | The Startup | 246 | 1 | 7 Benefits of Reading Books and How to Read More | https://medium.com/swlh/reading-benefits-54ed54d77af7 | 9 |
5,578 | [
0.04402277618646622,
0.028443636372685432,
-0.01735026016831398,
0.039791904389858246,
0.0062690372578799725,
-0.034728702157735825,
0.03174971044063568,
0.016796626150608063,
-0.009438472799956799,
-0.024538246914744377,
0.0013573128962889314,
0.01747535541653633,
-0.016433708369731903,
0... | The Startup | 265 | 4 | Why Everything We Know About Passwords is Wrong | https://medium.com/swlh/why-everything-we-know-about-passwords-is-wrong-76bc04849b56 | 4 |
5,579 | [
0.014699374325573444,
0.011955900117754936,
-0.01647757925093174,
0.02638459950685501,
-0.01145298033952713,
-0.022087033838033676,
0.016675222665071487,
0.012052372097969055,
0.0009543201886117458,
-0.05522445961833,
-0.005611306056380272,
0.024226512759923935,
-0.0032339580357074738,
-0.... | The Startup | 277 | 1 | More Handy JavaScript Shorthands | https://medium.com/swlh/more-handy-javascript-shorthands-9c08805d5f55 | 4 |
5,580 | [
-0.005802187602967024,
-0.006069384980946779,
0.03001232258975506,
-0.0021681070793420076,
0.018808867782354355,
-0.017750658094882965,
0.015091465786099434,
0.01311084907501936,
0.0061292084865272045,
-0.054263826459646225,
-0.018487457185983658,
0.0400826632976532,
0.0202239528298378,
0.... | The Startup | 85 | 1 | Traditional Late Stage VC is Being Disrupted. Here’s how. | https://medium.com/swlh/traditional-late-stage-vc-is-being-disrupted-heres-how-12848efe9ea1 | 9 |
5,581 | [
0.002445502672344446,
0.023599250242114067,
-0.053365785628557205,
0.04856874793767929,
-0.0162687748670578,
0.01659458316862583,
-0.0029602020513266325,
-0.012038534507155418,
-0.0036115157417953014,
-0.05090329423546791,
-0.036329884082078934,
0.015020579099655151,
-0.03972099348902702,
... | The Startup | 162 | 0 | Creating Testable Singletons | https://medium.com/swlh/creating-testable-singletons-525f88915aa3 | 2 |
5,582 | [
0.04241166263818741,
0.0050744605250656605,
-0.022965524345636368,
0.02489304728806019,
-0.005784442648291588,
-0.03917418420314789,
0.012308909557759762,
0.03878102824091911,
-0.017454613000154495,
-0.028033467009663582,
0.032329704612493515,
0.013903245329856873,
0.0246451236307621,
-0.0... | The Startup | 712 | 13 | Taking a Peek at Facebook Profiles of Conservative Friends | https://medium.com/swlh/taking-a-peek-at-facebook-profiles-of-conservative-friends-57456f28b74b | 8 |
5,583 | [
0.08080708235502243,
-0.004457559902220964,
-0.00024395652872044593,
0.005200754385441542,
0.017530599609017372,
-0.01284798327833414,
-0.0019410403911024332,
0.01902860961854458,
-0.02999376505613327,
-0.03942815214395523,
0.022200876846909523,
0.019323432818055153,
-0.013438434340059757,
... | The Startup | 596 | 7 | The Dangers of Adding Your Coworkers on LinkedIn | https://medium.com/swlh/the-dangers-of-adding-your-coworkers-on-linkedin-2525a94340dc | 5 |
5,584 | [
0.025619376450777054,
0.02832922339439392,
-0.018405135720968246,
0.03782825917005539,
-0.020752612501382828,
0.0017176746623590589,
0.01216122880578041,
-0.02684524655342102,
-0.018793852999806404,
-0.02379666455090046,
-0.009250981733202934,
-0.010577484034001827,
-0.007281885948032141,
... | The Startup | 143 | 2 | How to Build a Dyson Sphere | https://medium.com/swlh/how-to-build-a-dyson-sphere-9ab728bc7258 | 5 |
5,585 | [
-0.019853854551911354,
-0.0033313853200525045,
-0.02712544985115528,
0.02878519520163536,
0.008837282657623291,
0.01605147123336792,
-0.019132766872644424,
0.0005651129176840186,
0.00117995694745332,
-0.012759542092680931,
-0.03340904787182808,
0.02668748050928116,
-0.025801876559853554,
0... | The Startup | 159 | 0 | Bitcoin’s Proof of Work: The problem of the Byzantine Generals | https://medium.com/swlh/bitcoins-proof-of-work-the-problem-of-the-byzantine-generals-33dc4540442 | 5 |
5,586 | [
0.03990257531404495,
-0.028456687927246094,
0.005539933685213327,
0.016306765377521515,
0.005631661508232355,
-0.032281454652547836,
0.007319394499063492,
0.0004870147386100143,
-0.006144678220152855,
-0.04427808150649071,
-0.010106541216373444,
0.03671092540025711,
0.004754120018333197,
-... | The Startup | 66 | 0 | Continuously Deploying Your Spring Boot Application to AWS ECR Using CircleCI | https://medium.com/swlh/continuously-deploying-your-spring-boot-application-to-aws-ecr-using-circleci-3ac03201dd5a | 7 |
5,587 | [
0.03687889128923416,
0.02032223716378212,
-0.007327256258577108,
0.03147480636835098,
0.021009519696235657,
0.020986836403608322,
-0.05311951786279678,
-0.003944239113479853,
-0.02024807594716549,
-0.047768060117959976,
0.03927239403128624,
0.04233699291944504,
0.015112635679543018,
0.0025... | The Startup | 275 | 0 | Building Your First Financial Projection and Model | https://medium.com/swlh/building-your-first-financial-projection-and-model-b7d6c28212f1 | 7 |
5,588 | [
-0.00041277127456851304,
0.028493667021393776,
-0.00680770305916667,
0.02144608646631241,
0.007958516478538513,
-0.022354092448949814,
0.013285028748214245,
-0.032586488872766495,
0.010740547440946102,
-0.05249378830194473,
0.01388301607221365,
0.015957927331328392,
-0.01225144974887371,
-... | The Startup | 20 | 1 | Understanding Firewall Types | https://medium.com/swlh/understanding-firewall-types-4a2869deb687 | 8 |
5,589 | [
-0.0735965445637703,
-0.00843749474734068,
-0.0020867858547717333,
0.002744858618825674,
-0.00020530394976958632,
0.009759924374520779,
0.0237471591681242,
-0.030291257426142693,
-0.021536018699407578,
-0.042226552963256836,
-0.013076546601951122,
-0.020377814769744873,
-0.05278618633747101,... | The Startup | 322 | 0 | Dijkstra’s Algorithm in an Undirected Graph | https://medium.com/swlh/dijkstras-algorithm-in-an-undirected-graph-c0c086d77145 | 4 |
5,590 | [
0.03095190040767193,
-0.006396208889782429,
0.062143273651599884,
0.04422403872013092,
0.02713472582399845,
-0.010456937365233898,
-0.018414173275232315,
0.04835028946399689,
-0.02374683879315853,
0.0019107821863144636,
-0.017253948375582695,
0.0289839506149292,
-0.010870655067265034,
0.01... | The Startup | 150 | 0 | Bitcoin’s hash rate is hitting record highs, but does it even matter? | https://medium.com/swlh/bitcoins-hash-rate-is-hitting-record-highs-but-does-it-even-matter-44a4c91dee82 | 5 |
5,591 | [
0.027586378157138824,
0.03223724290728569,
-0.012848123908042908,
-0.010757028125226498,
0.02786395139992237,
-0.014067207463085651,
-0.002082929015159607,
0.00534758111461997,
-0.02665901556611061,
-0.02524120919406414,
-0.0011392761953175068,
0.0403112918138504,
-0.013143458403646946,
-0... | The Startup | 72 | 0 | What Is the Business Environment? | https://medium.com/swlh/what-is-the-business-environment-9612210d0db7 | 6 |
5,592 | [
0.02756735496222973,
0.006890431046485901,
-0.035832203924655914,
0.0026897185016423464,
-0.004250076599419117,
-0.018702762201428413,
0.02951807528734207,
0.03006591834127903,
-0.07456366717815399,
-0.00013696298992726952,
0.006987924221903086,
-0.004055093042552471,
-0.045101337134838104,
... | The Startup | 175 | 1 | Why Is Python so Powerful Today? | https://medium.com/swlh/why-is-python-so-powerful-today-190b4661ab | 4 |
5,593 | [
0.03736547380685806,
-0.0026661460287868977,
-0.021759847179055214,
0.02872505411505699,
-0.001777835306711495,
0.028293728828430176,
0.0027722592931240797,
-0.008899999782443047,
0.0017734260763972998,
-0.0486171692609787,
0.0015041014412418008,
0.027594594284892082,
0.0068619027733802795,
... | The Startup | 50 | 0 | Six Strategies for Stealing Time Back from Our Screens | https://medium.com/swlh/six-strategies-for-stealing-time-back-from-our-screens-8eef6d1d1eb0 | 8 |
5,594 | [
-0.033363305032253265,
-0.014359510503709316,
0.022230811417102814,
-0.014286048710346222,
-0.026830894872546196,
0.015346155501902103,
0.00672370009124279,
-0.043638925999403,
0.028868110850453377,
-0.056269172579050064,
-0.03996237739920616,
0.07549145817756653,
0.00832621194422245,
-0.0... | The Startup | 603 | 1 | Painless React Form Handling with useReactiveForm | https://medium.com/swlh/painless-react-form-handling-with-usereactiveform-827312878458 | 5 |
5,595 | [
0.06969004124403,
0.007231862749904394,
-0.009091299027204514,
0.023531895130872726,
0.0056418441236019135,
-0.013440707698464394,
0.02811143547296524,
0.006853446830064058,
-0.0032403962686657906,
-0.028993496671319008,
0.027989119291305542,
0.034281037747859955,
0.019581040367484093,
-0.... | The Startup | 160 | 1 | How to Use Facebook to Market Your Freelance Services | https://medium.com/swlh/how-to-use-facebook-to-market-your-freelance-services-f57b1567070f | 5 |
5,596 | [
0.03423513099551201,
0.036634430289268494,
-0.019249282777309418,
0.015465392731130123,
-0.01392416562885046,
0.010050348937511444,
-0.02372734621167183,
0.01223543006926775,
-0.021507635712623596,
-0.012698936276137829,
0.013439761474728584,
0.00409015454351902,
-0.031218726187944412,
0.0... | The Startup | 207 | 2 | Why Elon Musk Wants To Read Your Mind | https://medium.com/swlh/why-elon-musk-wants-to-read-your-mind-8a57db3d824e | 5 |
5,597 | [
0.03898414224386215,
0.00369821023195982,
0.03624039143323898,
0.013384110294282436,
-0.0067689321003854275,
0.0010489452397450805,
-0.019509505480527878,
0.006693564355373383,
0.0035653465893119574,
-0.00320092448964715,
-0.01065037027001381,
0.015011133626103401,
0.010006568394601345,
0.... | The Startup | 109 | 1 | The Rise and Fall of HQ, the Social Media Trivia Game Show | https://medium.com/swlh/the-rise-and-fall-of-hq-the-social-media-trivia-game-show-3a15d58a528e | 6 |
5,598 | [
0.048719100654125214,
0.04832439497113228,
0.025249719619750977,
0.02081350050866604,
0.033478543162345886,
0.02481786347925663,
0.05053550750017166,
0.01837892085313797,
0.002854760969057679,
-0.038227297365665436,
0.025768829509615898,
0.05908115953207016,
0.013118525967001915,
0.0148919... | The Startup | 14 | 0 | This Six-Time Entrepreneur Has These Six Pieces of Advice | https://medium.com/swlh/this-six-time-entrepreneur-has-these-six-pieces-of-advice-f596ec728b73 | 5 |
5,599 | [
-0.021521665155887604,
0.0313563197851181,
-0.02478887513279915,
0.04308903589844704,
-0.01468236930668354,
0.06919153779745102,
-0.012611545622348785,
-0.0189222265034914,
-0.0006880955188535154,
-0.037730276584625244,
-0.005821525119245052,
0.042150069028139114,
-0.007501770742237568,
0.... | The Startup | 121 | 0 | Musings on Metric, Manipulation, and Mechanism | https://medium.com/swlh/musings-on-metric-manipulation-and-mechanism-6502327ed7cf | 10 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.