channel string | post_ids list | n_posts int64 | dt_utc_first timestamp[ns, tz=UTC] | dt_utc_last timestamp[ns, tz=UTC] | html_unwrapped string | label string | priority_max int64 |
|---|---|---|---|---|---|---|---|
ai_machinelearning_big_data | [
1000
] | 1 | 2018-10-30T18:13:32Z | 2018-10-30T18:13:32Z | BMW Machine Learning Weekly — Week 02<br/><a href="https://towardsdatascience.com/bmw-machine-learning-weekly-week-02-229404823b19" rel="noopener" target="_blank">https://towardsdatascience.com/bmw-machine-learning-weekly-week-02-229404823b19</a> | other | 2 |
ai_machinelearning_big_data | [
1002,
1003
] | 2 | 2018-10-31T08:38:55Z | 2018-10-31T08:39:00Z | <a href="https://habr.com/company/hh/blog/427477/" rel="noopener" target="_blank">https://habr.com/company/hh/blog/427477/</a>
Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees<br/><a href="https://ai.googleblog.com/2018/10/introducing-adanet-fast-and-flexible.html" rel="noopener" target="_blank">h... | other | 2 |
ai_machinelearning_big_data | [
1004
] | 1 | 2018-11-01T08:26:53Z | 2018-11-01T08:26:53Z | Semantic Segmentation of Seismic Reflection Images<br/><br/><a href="https://nikolasent.github.io/deeplearning/competitions/2018/10/24/Semantic-Segmentation-of-Seismic-Reflection-Images.html" rel="noopener" target="_blank">https://nikolasent.github.io/deeplearning/competitions/2018/10/24/Semantic-Segmentation-of-Seismi... | tldr | 2 |
ai_machinelearning_big_data | [
1006
] | 1 | 2018-11-02T10:24:18Z | 2018-11-02T10:24:18Z | Facebook open sourced Horizon, an end-to-end applied reinforcement learning platform built on <a href="?q=%23PyTorch">#PyTorch</a> 1.0. Horizon uses RL to optimize systems in large-scale production environments and we're excited to make it accessible to anyone using <a href="?q=%23RL">#RL</a> at scale. <br/><br/><a hre... | tldr | 2 |
ai_machinelearning_big_data | [
1007
] | 1 | 2018-11-03T09:21:26Z | 2018-11-03T09:21:26Z | Applying Machine Learning to classify an unsupervised text document<br/><a href="https://towardsdatascience.com/applying-machine-learning-to-classify-an-unsupervised-text-document-e7bb6265f52" rel="noopener" target="_blank">https://towardsdatascience.com/applying-machine-learning-to-classify-an-unsupervised-text-docume... | other | 2 |
ai_machinelearning_big_data | [
1008,
1009
] | 2 | 2018-11-04T09:49:24Z | 2018-11-04T09:49:44Z | <a href="https://habr.com/company/yandex/blog/428700/" rel="noopener" target="_blank">https://habr.com/company/yandex/blog/428700/</a>
Building client routing / semantic search and clustering arbitrary external corpuses at <a href="http://Profi.ru/" rel="noopener" target="_blank">Profi.ru</a><br/><br/><a href="https:/... | other | 2 |
ai_machinelearning_big_data | [
1010,
1011
] | 2 | 2018-11-05T08:08:53Z | 2018-11-05T08:08:58Z | Дорисовывание лиц с помощью машинного обучения <br/><a href="https://habr.com/post/428756/" rel="noopener" target="_blank">https://habr.com/post/428756/</a>
The MAME RL Algorithm Training Toolkit<br/><br/>This Python library has the to potential to train your reinforcement learning algorithm on almost any arcade game.... | other | 2 |
ai_machinelearning_big_data | [
1013
] | 1 | 2018-11-07T18:12:08Z | 2018-11-07T18:12:08Z | PyTorch implementation of Google AI's BERT model with a script to load Google's pre-trained models<br/><br/><a href="https://github.com/huggingface/pytorch-pretrained-BERT" rel="noopener" target="_blank">https://github.com/huggingface/pytorch-pretrained-BERT</a> | tldr | 2 |
ai_machinelearning_big_data | [
1015
] | 1 | 2018-11-08T07:58:09Z | 2018-11-08T07:58:09Z | Using 3D visualizations to tune hyperparameters in ML models<br/><br/><br/><a href="https://towardsdatascience.com/using-3d-visualizations-to-tune-hyperparameters-of-ml-models-with-python-ba2885eab2e9" rel="noopener" target="_blank">https://towardsdatascience.com/using-3d-visualizations-to-tune-hyperparameters-of-ml-mo... | other | 2 |
ai_machinelearning_big_data | [
1017
] | 1 | 2018-11-09T08:20:43Z | 2018-11-09T08:20:43Z | Artificial Intelligence meets Art: Neural Transfer Style <br/><a href="https://towardsdatascience.com/artificial-intelligence-meets-art-neural-transfer-style-50e1c07aa7f7" rel="noopener" target="_blank">https://towardsdatascience.com/artificial-intelligence-meets-art-neural-transfer-style-50e1c07aa7f7</a> | other | 2 |
ai_machinelearning_big_data | [
1018,
1019
] | 2 | 2018-11-10T08:39:59Z | 2018-11-10T08:40:09Z | <a href="https://habr.com/company/piter/blog/429358/" rel="noopener" target="_blank">https://habr.com/company/piter/blog/429358/</a>
Kaggle Competition — Image Classification<br/>How to build a CNN model that can predict the classification of the input images using transfer learning<br/><br/><a href="https://towardsda... | other | 2 |
ai_machinelearning_big_data | [
1020
] | 1 | 2018-11-11T12:22:50Z | 2018-11-11T12:22:50Z | Driving Computer Vision with Deep Learning<br/><br/><a href="https://wayve.ai/blog/2018/10/8/vision-for-driving-with-deep-learning" rel="noopener" target="_blank">https://wayve.ai/blog/2018/10/8/vision-for-driving-with-deep-learning</a> | other | 2 |
ai_machinelearning_big_data | [
1022
] | 1 | 2018-11-12T09:41:13Z | 2018-11-12T09:41:13Z | How to train Neural Network faster with optimizers?<br/><br/><a href="https://towardsdatascience.com/how-to-train-neural-network-faster-with-optimizers-d297730b3713" rel="noopener" target="_blank">https://towardsdatascience.com/how-to-train-neural-network-faster-with-optimizers-d297730b3713</a> | other | 1 |
ai_machinelearning_big_data | [
1023
] | 1 | 2018-11-13T11:34:11Z | 2018-11-13T11:34:11Z | PySyft<br/><br/>PySyft is a Python library for secure, private Deep Learning. PySyft decouples private data from model training, using Multi-Party Computation (MPC) within PyTorch. <br/><br/><a href="https://github.com/OpenMined/PySyft" rel="noopener" target="_blank">https://github.com/OpenMined/PySyft</a> | other | 2 |
ai_machinelearning_big_data | [
1024
] | 1 | 2018-11-13T16:56:43Z | 2018-11-13T16:56:43Z | Predicting Professional Players’ Chess Moves with Deep Learning<br/><br/><a href="https://towardsdatascience.com/predicting-professional-players-chess-moves-with-deep-learning-9de6e305109e?source=collection_home---4------0---------------------" rel="noopener" target="_blank">https://towardsdatascience.com/predicting-pr... | tldr | 2 |
ai_machinelearning_big_data | [
1026
] | 1 | 2018-11-14T07:37:31Z | 2018-11-14T07:37:31Z | What’s In a Face (CVPR in Review V)<br/><br/><a href="https://medium.com/neuromation-io-blog/whats-in-a-face-cvpr-in-review-v-3086f60e1f1c" rel="noopener" target="_blank">https://medium.com/neuromation-io-blog/whats-in-a-face-cvpr-in-review-v-3086f60e1f1c</a> | tldr | 2 |
ai_machinelearning_big_data | [
1028
] | 1 | 2018-11-15T08:37:46Z | 2018-11-15T08:37:46Z | A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning<br/><br/><a href="https://towardsdatascience.com/a-comprehensive-hands-on-guide-to-transfer-learning-with-real-world-applications-in-deep-learning-212bf3b2f27a" rel="noopener" target="_blank">https://towardsdatascience.com... | other | 2 |
ai_machinelearning_big_data | [
1029
] | 1 | 2018-11-16T10:02:40Z | 2018-11-16T10:02:40Z | 11 websites to find free, interesting datasets<br/><br/><a href="https://www.interviewqs.com/blog/free_online_data_sets" rel="noopener" target="_blank">https://www.interviewqs.com/blog/free_online_data_sets</a> | other | 2 |
ai_machinelearning_big_data | [
1030
] | 1 | 2018-11-16T13:25:33Z | 2018-11-16T13:25:33Z | Universities with AI Programs<br/><br/><a href="https://ai-jobs.net/universities-with-ai-programs/" rel="noopener" target="_blank">https://ai-jobs.net/universities-with-ai-programs/</a> | other | 2 |
ai_machinelearning_big_data | [
1032
] | 1 | 2018-11-17T08:16:19Z | 2018-11-17T08:16:19Z | Introduction to Natural Language Processing for Text<br/><br/><a href="https://towardsdatascience.com/introduction-to-natural-language-processing-for-text-df845750fb63" rel="noopener" target="_blank">https://towardsdatascience.com/introduction-to-natural-language-processing-for-text-df845750fb63</a> | other | 2 |
ai_machinelearning_big_data | [
1034
] | 1 | 2018-11-18T06:16:32Z | 2018-11-18T06:16:32Z | A simple Machine Learning introduction<br/><br/><a href="https://towardsdatascience.com/a-simple-machine-learning-introduction-2f0f626966d7" rel="noopener" target="_blank">https://towardsdatascience.com/a-simple-machine-learning-introduction-2f0f626966d7</a> | other | 2 |
ai_machinelearning_big_data | [
1035,
1036
] | 2 | 2018-11-19T10:14:17Z | 2018-11-19T10:14:20Z | <a href="https://habr.com/company/ruvds/blog/429834/" rel="noopener" target="_blank">https://habr.com/company/ruvds/blog/429834/</a>
3D Visualization of NN layers with TensorSpace.js<br/><a href="https://towardsdatascience.com/3d-visualization-of-nn-layers-with-tensorspace-js-7a8ef5440125" rel="noopener" target="_blan... | other | 2 |
ai_machinelearning_big_data | [
1037
] | 1 | 2018-11-20T14:36:48Z | 2018-11-20T14:36:48Z | An easy introduction to unsupervised learning with 4 basic techniques<br/><br/><a href="https://towardsdatascience.com/an-easy-introduction-to-unsupervised-learning-with-4-basic-techniques-897cb81979fd" rel="noopener" target="_blank">https://towardsdatascience.com/an-easy-introduction-to-unsupervised-learning-with-4-ba... | other | 2 |
ai_machinelearning_big_data | [
1038
] | 1 | 2018-11-21T16:41:11Z | 2018-11-21T16:41:11Z | Machine learning, meet quantum computing<br/><br/><a href="https://www.technologyreview.com/s/612435/machine-learning-meet-quantum-computing/" rel="noopener" target="_blank">https://www.technologyreview.com/s/612435/machine-learning-meet-quantum-computing/</a> | tldr | 2 |
ai_machinelearning_big_data | [
1039
] | 1 | 2018-11-22T08:01:30Z | 2018-11-22T08:01:30Z | Gaussian Mixture Model clustering: how to select the number of components <br/><br/><a href="https://towardsdatascience.com/gaussian-mixture-model-clusterization-how-to-select-the-number-of-components-clusters-553bef45f6e4" rel="noopener" target="_blank">https://towardsdatascience.com/gaussian-mixture-model-clusterizat... | other | 2 |
ai_machinelearning_big_data | [
1041
] | 1 | 2018-11-24T08:25:58Z | 2018-11-24T08:25:58Z | A Gentle Introduction to Weight Constraints to Reduce Generalization Error in Deep Learning<br/><br/><a href="https://machinelearningmastery.com/introduction-to-weight-constraints-to-reduce-generalization-error-in-deep-learning/" rel="noopener" target="_blank">https://machinelearningmastery.com/introduction-to-weight-c... | tldr | 2 |
ai_machinelearning_big_data | [
1042
] | 1 | 2018-11-27T07:06:37Z | 2018-11-27T07:06:37Z | How to Reduce Overfitting of a Deep Learning Model with Weight Regularization<br/><a href="https://machinelearningmastery.com/how-to-reduce-overfitting-in-deep-learning-with-weight-regularization/" rel="noopener" target="_blank">https://machinelearningmastery.com/how-to-reduce-overfitting-in-deep-learning-with-weight-r... | other | 2 |
ai_machinelearning_big_data | [
1043,
1045
] | 2 | 2018-11-28T11:38:48Z | 2018-11-28T11:40:08Z | Обзор основных методов Deep Domain Adaptation<br/><br/><a href="https://habr.com/company/mailru/blog/429966/" rel="noopener" target="_blank">https://habr.com/company/mailru/blog/429966/</a>
Making Your Neural Network Say “I Don’t Know” — Bayesian NNs using Pyro and PyTorch<br/><br/><a href="https://towardsdatascience.... | tldr | 2 |
ai_machinelearning_big_data | [
1046
] | 1 | 2018-11-29T08:04:10Z | 2018-11-29T08:04:10Z | No time to read AI research? We summarized top 2018 papers for you<br/><br/><a href="https://www.topbots.com/most-important-ai-research-papers-2018/" rel="noopener" target="_blank">https://www.topbots.com/most-important-ai-research-papers-2018/</a> | other | 2 |
ai_machinelearning_big_data | [
1048
] | 1 | 2018-11-30T07:42:41Z | 2018-11-30T07:42:41Z | 9 obscure Python libraries for data science<br/><br/><a href="https://opensource.com/article/18/11/python-libraries-data-science" rel="noopener" target="_blank">https://opensource.com/article/18/11/python-libraries-data-science</a> | other | 2 |
ai_machinelearning_big_data | [
1050
] | 1 | 2018-12-01T08:11:01Z | 2018-12-01T08:11:01Z | <b>Data Science for Real</b><br/><br/>Transforming property management with advanced analytics and machine learning<br/><br/><a href="https://towardsdatascience.com/data-science-for-real-c09f088b6550" rel="noopener" target="_blank">https://towardsdatascience.com/data-science-for-real-c09f088b6550</a> | other | 2 |
ai_machinelearning_big_data | [
1053
] | 1 | 2018-12-02T08:00:12Z | 2018-12-02T08:00:12Z | Attention, Dialogue, and Learning Reusable Patterns<br/><br/><a href="https://medium.com/rasa-blog/attention-dialogue-and-learning-reusable-patterns-5d6bd18ef9f0" rel="noopener" target="_blank">https://medium.com/rasa-blog/attention-dialogue-and-learning-reusable-patterns-5d6bd18ef9f0</a> | tldr | 2 |
ai_machinelearning_big_data | [
1056
] | 1 | 2018-12-03T12:48:03Z | 2018-12-03T12:48:03Z | <b>Digit Recognizer - Introduction to Kaggle Competitions with Image Classification Task (0.995)</b><br/><br/><a href="https://towardsdatascience.com/digit-recognizer-introduction-to-kaggle-competitions-with-image-classification-task-0-995-268fa2b90e13" rel="noopener" target="_blank">https://towardsdatascience.com/digi... | other | 2 |
ai_machinelearning_big_data | [
1058
] | 1 | 2018-12-04T11:52:02Z | 2018-12-04T11:52:02Z | <b>NHL Analytics: Shots, Rebounds, and Weak Signals</b><br/><br/><a href="https://towardsdatascience.com/nhl-analytics-shots-rebounds-and-weak-signals-c293ba8c635f" rel="noopener" target="_blank">https://towardsdatascience.com/nhl-analytics-shots-rebounds-and-weak-signals-c293ba8c635f</a> | tldr | 2 |
ai_machinelearning_big_data | [
1060
] | 1 | 2018-12-05T07:38:14Z | 2018-12-05T07:38:14Z | <b>Super VIP Cheatsheet: Deep Learning</b> | other | 2 |
ai_machinelearning_big_data | [
1061
] | 1 | 2018-12-06T07:41:55Z | 2018-12-06T07:41:55Z | <b>Forensic Deep Learning: Kaggle Camera Model Identification Challenge</b><br/><br/><a href="https://towardsdatascience.com/forensic-deep-learning-kaggle-camera-model-identification-challenge-f6a3892561bd" rel="noopener" target="_blank">https://towardsdatascience.com/forensic-deep-learning-kaggle-camera-model-identifi... | tldr | 2 |
ai_machinelearning_big_data | [
1063
] | 1 | 2018-12-07T07:32:43Z | 2018-12-07T07:32:43Z | <b>Great took for neural network, deep learning and machine learning models visualization.</b><br/><br/> <a href="https://github.com/lutzroeder/netron" rel="noopener" target="_blank">https://github.com/lutzroeder/netron</a> | other | 2 |
ai_machinelearning_big_data | [
1064
] | 1 | 2018-12-08T07:19:25Z | 2018-12-08T07:19:25Z | <b>A Gentle Introduction to Early Stopping to Avoid Overtraining Deep Learning Neural Network Models</b><br/><br/><a href="https://machinelearningmastery.com/early-stopping-to-avoid-overtraining-neural-network-models/" rel="noopener" target="_blank">https://machinelearningmastery.com/early-stopping-to-avoid-overtrainin... | tldr | 2 |
ai_machinelearning_big_data | [
1065
] | 1 | 2018-12-10T10:59:04Z | 2018-12-10T10:59:04Z | <b>How to Stop Training Deep Neural Networks At the Right Time Using Early Stopping</b> <br/><br/><a href="https://machinelearningmastery.com/how-to-stop-training-deep-neural-networks-at-the-right-time-using-early-stopping/" rel="noopener" target="_blank">https://machinelearningmastery.com/how-to-stop-training-deep-neu... | tldr | 2 |
ai_machinelearning_big_data | [
1068
] | 1 | 2018-12-11T07:46:29Z | 2018-12-11T07:46:29Z | <b>So, is your algorithm not working?</b><br/><br/><a href="https://towardsdatascience.com/so-is-your-algorithm-not-working-aa8e4ebd2066" rel="noopener" target="_blank">https://towardsdatascience.com/so-is-your-algorithm-not-working-aa8e4ebd2066</a> | other | 2 |
ai_machinelearning_big_data | [
1069
] | 1 | 2018-12-12T07:35:07Z | 2018-12-12T07:35:07Z | <b>Train Neural Networks With Noise to Reduce Overfitting</b><br/><br/><a href="https://machinelearningmastery.com/train-neural-networks-with-noise-to-reduce-overfitting/" rel="noopener" target="_blank">https://machinelearningmastery.com/train-neural-networks-with-noise-to-reduce-overfitting/</a> | other | 2 |
ai_machinelearning_big_data | [
1071
] | 1 | 2018-12-14T07:21:31Z | 2018-12-14T07:21:31Z | Machine Learning Top 10 Articles for the Past Month (v.Dec 2018)<br/><br/><a href="https://medium.mybridge.co/machine-learning-top-10-articles-for-the-past-month-v-dec-2018-37b229f930a1" rel="noopener" target="_blank">https://medium.mybridge.co/machine-learning-top-10-articles-for-the-past-month-v-dec-2018-37b229f930a1... | other | 2 |
ai_machinelearning_big_data | [
1072
] | 1 | 2018-12-15T13:25:53Z | 2018-12-15T13:25:53Z | Facebook has released <a href="?q=%23PyText">#PyText</a> — new framework on top of <a href="?q=%23PyTorch">#PyTorch</a>.<br/><br/>This framework is build to make it easier for developers to build <a href="?q=%23NLP">#NLP</a> models.<br/><br/><a href="https://code.fb.com/ai-research/pytext-open-source-nl" rel="noopener"... | other | 1 |
ai_machinelearning_big_data | [
1073
] | 1 | 2018-12-17T08:28:55Z | 2018-12-17T08:28:55Z | <b>Best NLP articles</b> <b>explanation</b><br/><br/><a href="https://jalammar.github.io/illustrated-bert/" rel="noopener" target="_blank">https://jalammar.github.io/illustrated-bert/</a> | other | 2 |
ai_machinelearning_big_data | [
1075
] | 1 | 2018-12-19T07:07:34Z | 2018-12-19T07:07:34Z | <a href="https://rkevingibson.github.io/blog/neural-networks-as-ordinary-differential-equations/" rel="noopener" target="_blank">https://rkevingibson.github.io/blog/neural-networks-as-ordinary-differential-equations/</a> | tldr | 2 |
ai_machinelearning_big_data | [
1077
] | 1 | 2018-12-21T04:04:16Z | 2018-12-21T04:04:16Z | 10 Exciting Ideas of 2018 in NLP<br/><br/><a href="http://ruder.io/10-exciting-ideas-of-2018-in-nlp/" rel="noopener" target="_blank">http://ruder.io/10-exciting-ideas-of-2018-in-nlp/</a> | tldr | 2 |
ai_machinelearning_big_data | [
1078
] | 1 | 2018-12-21T04:37:33Z | 2018-12-21T04:37:33Z | The major advancements in Deep Learning in 2018<br/><br/><a href="https://tryolabs.com/blog/2018/12/19/major-advancements-deep-learning-2018/" rel="noopener" target="_blank">https://tryolabs.com/blog/2018/12/19/major-advancements-deep-learning-2018/</a> | other | 2 |
ai_machinelearning_big_data | [
1079
] | 1 | 2018-12-22T09:06:53Z | 2018-12-22T09:06:53Z | <b>30 Data Science Punchlines</b><br/>A holiday reading list condensed into 30 quotes<br/><br/><a href="https://towardsdatascience.com/data-science-conversation-starters-84affd2347f6" rel="noopener" target="_blank">https://towardsdatascience.com/data-science-conversation-starters-84affd2347f6</a> | other | 2 |
ai_machinelearning_big_data | [
1080,
1081
] | 2 | 2018-12-24T12:05:07Z | 2018-12-24T12:05:09Z | <a href="https://habr.com/company/intel/blog/433772/" rel="noopener" target="_blank">https://habr.com/company/intel/blog/433772/</a>
<b>Generating New Ideas for Machine Learning Projects Through Machine Learning</b><br/><br/><a href="https://towardsdatascience.com/generating-new-ideas-for-machine-learning-projects-thr... | other | 2 |
ai_machinelearning_big_data | [
1082
] | 1 | 2018-12-25T15:07:54Z | 2018-12-25T15:07:54Z | <b>How to Create a Random-Split, Cross-Validation, and Bagging Ensemble for Deep Learning in Keras</b><br/><br/><a href="https://machinelearningmastery.com/how-to-create-a-random-split-cross-validation-and-bagging-ensemble-for-deep-learning-in-keras/" rel="noopener" target="_blank">https://machinelearningmastery.com/ho... | tldr | 2 |
ai_machinelearning_big_data | [
1083
] | 1 | 2018-12-26T20:54:58Z | 2018-12-26T20:54:58Z | <b>Deep learning cheatsheets, covering content of Stanford’s CS 230 class</b><br/><br/>CNN: <a href="https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks" rel="noopener" target="_blank">https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks</a><br/><br... | other | 2 |
ai_machinelearning_big_data | [
1084
] | 1 | 2018-12-28T08:38:19Z | 2018-12-28T08:38:19Z | <b>A radical new neural network design</b><br/><br/><a href="https://www.technologyreview.com/s/612561/a-radical-new-neural-network-design-could-overcome-big-challenges-in-ai/" rel="noopener" target="_blank">https://www.technologyreview.com/s/612561/a-radical-new-neural-network-design-could-overcome-big-challenges-in-a... | tldr | 2 |
ai_machinelearning_big_data | [
1085
] | 1 | 2018-12-30T14:19:46Z | 2018-12-30T14:19:46Z | <b>Explained: A Style-Based Generator Architecture for GANs - Generating and Tuning Realistic Artificial Faces</b><br/><br/><a href="https://towardsdatascience.com/explained-a-style-based-generator-architecture-for-gans-generating-and-tuning-realistic-6cb2be0f431" rel="noopener" target="_blank">https://towardsdatascien... | other | 2 |
ai_machinelearning_big_data | [
1086
] | 1 | 2018-12-31T08:08:38Z | 2018-12-31T08:08:38Z | <b>How to Develop a Stacking Ensemble for Deep Learning Neural Networks in Python With Keras</b><br/><br/><a href="https://machinelearningmastery.com/stacking-ensemble-for-deep-learning-neural-networks/" rel="noopener" target="_blank">https://machinelearningmastery.com/stacking-ensemble-for-deep-learning-neural-network... | tldr | 2 |
ai_machinelearning_big_data | [
1087
] | 1 | 2019-01-02T07:07:33Z | 2019-01-02T07:07:33Z | <b>Impact of Dataset Size on Deep Learning Model Skill And Performance Estimates</b><br/><br/><a href="https://machinelearningmastery.com/impact-of-dataset-size-on-deep-learning-model-skill-and-performance-estimates/" rel="noopener" target="_blank">https://machinelearningmastery.com/impact-of-dataset-size-on-deep-learn... | tldr | 1 |
ai_machinelearning_big_data | [
1088
] | 1 | 2019-01-03T12:44:50Z | 2019-01-03T12:44:50Z | Creating voice assistant for games (tutorial for FIFA)<br/>Play games with voice commands using a Deep Learning powered wake-word detection engine<br/><br/><a href="https://towardsdatascience.com/creating-voice-assistant-for-games-tutorial-for-fifa-71cfbe428bd1" rel="noopener" target="_blank">https://towardsdatascience... | tldr | 1 |
ai_machinelearning_big_data | [
1089
] | 1 | 2019-01-04T08:20:02Z | 2019-01-04T08:20:02Z | <b>Top 10 IPython Notebook Tutorials for Data Science and Machine Learning</b><br/><br/>List mostly for beginners.<br/><br/>Link: <a href="https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html" rel="noopener" target="_blank">https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html</a><br/><br/><a... | other | 2 |
ai_machinelearning_big_data | [
1090
] | 1 | 2019-01-05T08:00:49Z | 2019-01-05T08:00:49Z | <b>The best of GAN papers in the year 2018</b><br/><br/><a href="https://dtransposed.github.io/blog/Best-of-GANs-2018-(Part-1-out-of-2).html" rel="noopener" target="_blank">https://dtransposed.github.io/blog/Best-of-GANs-2018-(Part-1-out-of-2).html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1091,
1092
] | 2 | 2019-01-06T08:39:47Z | 2019-01-06T08:39:52Z | <b>Python Anaconda for Deep Learning, Keras and Tensorflow (Module 1, Part 3)</b><br/><br/><a href="https://www.youtube.com/watch?v=uOMhboAnVNk" rel="noopener" target="_blank">https://www.youtube.com/watch?v=uOMhboAnVNk</a>
<b>What a text recognition system actually sees</b><br/><br/><a href="https://towardsdatascienc... | other | 2 |
ai_machinelearning_big_data | [
1093
] | 1 | 2019-01-07T08:06:02Z | 2019-01-07T08:06:02Z | <b>Conference on Empirical Methods on Natural Language Processing</b><br/><br/><a href="https://medium.com/unbabel/emnlp18-cookie-monsters-blackboxes-and-document-level-nmt-f5ae0da2d129" rel="noopener" target="_blank">https://medium.com/unbabel/emnlp18-cookie-monsters-blackboxes-and-document-level-nmt-f5ae0da2d129</a> | other | 2 |
ai_machinelearning_big_data | [
1094
] | 1 | 2019-01-08T07:46:12Z | 2019-01-08T07:46:12Z | <b>Reinforcement learning without gradients: evolving agents using Genetic Algorithms</b><br/><br/><a href="https://towardsdatascience.com/reinforcement-learning-without-gradients-evolving-agents-using-genetic-algorithms-8685817d84f" rel="noopener" target="_blank">https://towardsdatascience.com/reinforcement-learning-w... | tldr | 2 |
ai_machinelearning_big_data | [
1096
] | 1 | 2019-01-11T03:40:02Z | 2019-01-11T03:40:02Z | <b>Using the latest advancements in deep learning to predict stock price movements</b><br/><br/><a href="https://medium.com/@borisborev/aifortrading-2edd6fac689d" rel="noopener" target="_blank">https://medium.com/@borisborev/aifortrading-2edd6fac689d</a> | other | 2 |
ai_machinelearning_big_data | [
1098
] | 1 | 2019-01-12T08:32:24Z | 2019-01-12T08:32:24Z | <b>University of California, Berkeley full course 2018 </b><br/>This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.<br/><br/>By the end of this course, you will have buil... | tldr | 1 |
ai_machinelearning_big_data | [
1099,
1100
] | 2 | 2019-01-13T10:15:59Z | 2019-01-13T10:16:00Z | <b>Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python</b><br/><br/><a href="https://www.youtube.com/watch?v=LzaWrmKL1Z4" rel="noopener" target="_blank">https://www.youtube.com/watch?v=LzaWrmKL1Z4</a>
<b>The Hundred-Page Machine Learning Book</b><br/><br/><a href="http://themlbook.com/wiki/do... | other | 2 |
ai_machinelearning_big_data | [
1101
] | 1 | 2019-01-14T09:47:03Z | 2019-01-14T09:47:03Z | <b>Padam: Closing the Generalization gap of adaptive gradient methods in training deep neural networks</b><br/><br/><a href="https://github.com/yashkant/Padam-Tensorflow" rel="noopener" target="_blank">https://github.com/yashkant/Padam-Tensorflow</a> | tldr | 2 |
ai_machinelearning_big_data | [
1102
] | 1 | 2019-01-15T09:46:44Z | 2019-01-15T09:46:44Z | <b>Deep Reinforcement Learning Algorithms with PyTorch</b><br/><br/><a href="https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch" rel="noopener" target="_blank">https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch</a> | other | 2 |
ai_machinelearning_big_data | [
1104,
1105
] | 2 | 2019-01-17T09:37:56Z | 2019-01-17T09:37:58Z | <a href="https://habr.com/ru/post/436088/" rel="noopener" target="_blank">https://habr.com/ru/post/436088/</a>
<b>“Interesting” Projections — Where PCA Fails.</b><br/><br/><a href="https://towardsdatascience.com/interesting-projections-where-pca-fails-fe64ddca73e6" rel="noopener" target="_blank">https://towardsdatasci... | other | 2 |
ai_machinelearning_big_data | [
1106
] | 1 | 2019-01-18T09:12:03Z | 2019-01-18T09:12:03Z | <b>Auto-DeepLab: Fei-Fei Li & Alan Yuille on Semantic Image Segmentation</b><br/><br/><a href="https://medium.com/syncedreview/auto-deeplab-fei-fei-li-alan-yuille-on-semantic-image-segmentation-f2f2ab9795d5" rel="noopener" target="_blank">https://medium.com/syncedreview/auto-deeplab-fei-fei-li-alan-yuille-on-semant... | tldr | 2 |
ai_machinelearning_big_data | [
1107,
1108
] | 2 | 2019-01-19T08:29:37Z | 2019-01-19T08:29:39Z | <a href="https://habr.com/ru/post/436628/" rel="noopener" target="_blank">https://habr.com/ru/post/436628/</a>
<b>Soft Actor-Critic: Deep Reinforcement Learning for Robotics</b><br/><br/><a href="https://ai.googleblog.com/2019/01/soft-actor-critic-deep-reinforcement.html" rel="noopener" target="_blank">https://ai.goog... | other | 2 |
ai_machinelearning_big_data | [
1110
] | 1 | 2019-01-20T10:54:08Z | 2019-01-20T10:54:08Z | <b>Understanding data</b><br/><br/><a href="https://towardsdatascience.com/what-is-data-8f94ae3a56b4" rel="noopener" target="_blank">https://towardsdatascience.com/what-is-data-8f94ae3a56b4</a> | other | 1 |
ai_machinelearning_big_data | [
1111
] | 1 | 2019-01-21T08:50:35Z | 2019-01-21T08:50:35Z | <b>How to do Deep Learning on Graphs with Graph Convolutional Networks</b><br/><br/><a href="https://towardsdatascience.com/how-to-do-deep-learning-on-graphs-with-graph-convolutional-networks-62acf5b143d0" rel="noopener" target="_blank">https://towardsdatascience.com/how-to-do-deep-learning-on-graphs-with-graph-convolu... | other | 2 |
ai_machinelearning_big_data | [
1113
] | 1 | 2019-01-22T08:43:38Z | 2019-01-22T08:43:38Z | <b>Bayesian Neural Network Series</b><br/><br/>Post 1: Need for Bayesian Neural Networks<br/><a href="https://medium.com/neuralspace/bayesian-neural-network-series-post-1-need-for-bayesian-networks-e209e66b70b2" rel="noopener" target="_blank">https://medium.com/neuralspace/bayesian-neural-network-series-post-1-need-for... | other | 2 |
ai_machinelearning_big_data | [
1115
] | 1 | 2019-01-23T09:10:58Z | 2019-01-23T09:10:58Z | <b>Reading Minds with Deep Learning</b><br/><br/><a href="https://blog.floydhub.com/reading-minds-with-deep-learning/" rel="noopener" target="_blank">https://blog.floydhub.com/reading-minds-with-deep-learning/</a> | tldr | 2 |
ai_machinelearning_big_data | [
1116,
1117
] | 2 | 2019-01-24T08:38:33Z | 2019-01-24T08:39:43Z | <b>Summarized 14 NLP Research Breakthroughs You Can Apply To Your Business</b><br/><br/><a href="https://www.topbots.com/most-important-ai-nlp-research" rel="noopener" target="_blank">https://www.topbots.com/most-important-ai-nlp-research</a>
<a href="https://www.youtube.com/watch?v=1ct_P3IZow0" rel="noopener" target=... | other | 2 |
ai_machinelearning_big_data | [
1118,
1119
] | 2 | 2019-01-25T08:09:36Z | 2019-01-25T08:09:55Z | <a href="https://habr.com/ru/post/432444/" rel="noopener" target="_blank">https://habr.com/ru/post/432444/</a>
<b>Fitting a Neural Network Using Randomized Optimization in Python</b><br/><br/><a href="https://medium.com/@gkhayes/fitting-a-neural-network-using-randomized-optimization-in-python-71595de4ad2d" rel="noopen... | other | 2 |
ai_machinelearning_big_data | [
1120
] | 1 | 2019-01-26T08:35:17Z | 2019-01-26T08:35:17Z | <b>Practical Deep Learning for Coders 2019</b><br/><br/><a href="https://www.fast.ai/2019/01/24/course-v3/" rel="noopener" target="_blank">https://www.fast.ai/2019/01/24/course-v3/</a> | other | 2 |
ai_machinelearning_big_data | [
1121
] | 1 | 2019-01-27T08:45:32Z | 2019-01-27T08:45:32Z | <b>Google Researchers Have a New Alternative to Traditional Neural Networks</b><br/>Say hello to the capsule network.<br/><br/><a href="https://www.technologyreview.com/the-download/609297/google-researchers-have-a-new-alternative-to-traditional-neural-networks/" rel="noopener" target="_blank">https://www.technologyrev... | other | 1 |
ai_machinelearning_big_data | [
1123
] | 1 | 2019-01-28T09:11:55Z | 2019-01-28T09:11:55Z | <b>Lessons Learned from Kaggle’s Airbus Challenge</b><br/><br/><a href="https://medium.com/@YassineAlouini/lessons-learned-from-kaggles-airbus-challenge-252e25c5efac?source=topic_page---------19------------------1" rel="noopener" target="_blank">https://medium.com/@YassineAlouini/lessons-learned-from-kaggles-airbus-cha... | other | 1 |
ai_machinelearning_big_data | [
1124,
1125
] | 2 | 2019-01-29T08:50:09Z | 2019-01-29T08:50:10Z | <a href="https://habr.com/ru/company/mailru/blog/437940/" rel="noopener" target="_blank">https://habr.com/ru/company/mailru/blog/437940/</a>
<b>How to build an image classifier with greater than 97% accuracy</b><br/><br/><a href="https://medium.freecodecamp.org/how-to-build-the-best-image-classifier-3c72010b3d55" rel=... | other | 2 |
ai_machinelearning_big_data | [
1126
] | 1 | 2019-01-30T09:07:25Z | 2019-01-30T09:07:25Z | <b>Machine Learning with TensorFlow</b> | other | 2 |
ai_machinelearning_big_data | [
1127
] | 1 | 2019-01-31T08:30:36Z | 2019-01-31T08:30:36Z | <b>Interactive Controls in Jupyter Notebooks</b><br/>How to use interactive IPython widgets to enhance data exploration and analysis<br/><br/><a href="https://towardsdatascience.com/interactive-controls-for-jupyter-notebooks-f5c94829aee6" rel="noopener" target="_blank">https://towardsdatascience.com/interactive-control... | other | 2 |
ai_machinelearning_big_data | [
1128
] | 1 | 2019-02-01T09:00:51Z | 2019-02-01T09:00:51Z | <b>Keras challenges the Avengers</b><br/><br/><a href="https://towardsdatascience.com/keras-challenges-the-avengers-541346acb804?source=collection_home---4------2---------------------" rel="noopener" target="_blank">https://towardsdatascience.com/keras-challenges-the-avengers-541346acb804?source=collection_home---4----... | other | 2 |
ai_machinelearning_big_data | [
1129
] | 1 | 2019-02-02T08:59:04Z | 2019-02-02T08:59:04Z | <b>Browse state-of-the-art</b><br/><br/><b>509 leaderboards • 963 tasks • 700 datasets • 8598 papers with code</b><br/><br/><a href="https://paperswithcode.com/sota" rel="noopener" target="_blank">https://paperswithcode.com/sota</a> | other | 2 |
ai_machinelearning_big_data | [
1130
] | 1 | 2019-02-03T08:33:07Z | 2019-02-03T08:33:07Z | <b>Predicting Kickstarter Campaign Success with Gradient Boosted Decision Trees: A Machine Learning Classification Problem</b><br/><br/><a href="https://medium.com/@rileypredum/predicting-kickstarter-campaign-success-with-gradient-boosted-decision-trees-a-machine-learning-23077436c5f7" rel="noopener" target="_blank">ht... | tldr | 2 |
ai_machinelearning_big_data | [
1131,
1132
] | 2 | 2019-02-04T09:38:34Z | 2019-02-04T09:38:35Z | <b>Искусственные нейронные сети выращивают навигационные клетки как в мозге</b><br/><br/><a href="https://habr.com/ru/post/438526/" rel="noopener" target="_blank">https://habr.com/ru/post/438526/</a>
<b>Improving Evolutionary Strategies with Generative Neural Networks</b><br/><br/><a href="https://arxiv.org/abs/1901.1... | tldr | 2 |
ai_machinelearning_big_data | [
1133
] | 1 | 2019-02-05T08:28:51Z | 2019-02-05T08:28:51Z | <b>MIT Deep Learning Basics: Introduction and Overview with TensorFlow</b><br/><br/><a href="https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0?linkId=63206779" rel="noopener" target="_blank">https://medium.com/tensorflow/mit-deep-learning-basics-introduction-a... | other | 2 |
ai_machinelearning_big_data | [
1135
] | 1 | 2019-02-06T09:02:25Z | 2019-02-06T09:02:25Z | <b>Designing non-linear navigation for machine learning and topic modeling experiences</b><br/><br/><br/><a href="https://uxdesign.cc/designing-non-linear-navigation-for-machine-learning-and-topic-modeling-experiences-4ee969875ebe" rel="noopener" target="_blank">https://uxdesign.cc/designing-non-linear-navigation-for-m... | other | 2 |
ai_machinelearning_big_data | [
1136,
1137
] | 2 | 2019-02-07T09:14:58Z | 2019-02-07T09:15:00Z | <b>The Quick Python Book 2018</b>
<b>How to build AutoML from scratch</b><br/><br/><a href="https://medium.com/@alxmamaev/how-to-build-automl-from-scratch-ce45a4b51e0f" rel="noopener" target="_blank">https://medium.com/@alxmamaev/how-to-build-automl-from-scratch-ce45a4b51e0f</a> | other | 2 |
ai_machinelearning_big_data | [
1138
] | 1 | 2019-02-08T08:43:05Z | 2019-02-08T08:43:05Z | <b>The Best of AI: New Articles Published This Month (January 2019)</b><br/>10 data articles handpicked by the Sicara team, just for you<br/><br/><a href="https://blog.sicara.com/01-2019-best-ai-new-articles-this-month-8e2113fbd17b" rel="noopener" target="_blank">https://blog.sicara.com/01-2019-best-ai-new-articles-thi... | other | 2 |
ai_machinelearning_big_data | [
1140
] | 1 | 2019-02-09T08:49:17Z | 2019-02-09T08:49:17Z | <b>Intuitive Deep Learning Part 1a: Introduction to Neural Networks</b><br/>What is Deep Learning? A very gentle and intuitive introduction to Neural Networks and how they work!<br/><br/><a href="https://towardsdatascience.com/intuitive-deep-learning-part-1a-introduction-to-neural-networks-aaeb3a1500df" rel="noopener" ... | other | 1 |
ai_machinelearning_big_data | [
1141
] | 1 | 2019-02-10T09:25:04Z | 2019-02-10T09:25:04Z | <b>How to Improve Performance With Transfer Learning for Deep Learning Neural Networks</b><br/><br/><a href="https://machinelearningmastery.com/how-to-improve-performance-with-transfer-learning-for-deep-learning-neural-networks/" rel="noopener" target="_blank">https://machinelearningmastery.com/how-to-improve-performan... | other | 2 |
ai_machinelearning_big_data | [
1142,
1143
] | 2 | 2019-02-11T09:47:05Z | 2019-02-11T09:50:06Z | <b>Debugging your tensorflow code right (without so many painful mistakes)</b><br/><br/><a href="https://towardsdatascience.com/debugging-your-tensorflow-code-right-without-so-many-painful-mistakes-b48bd9145d5c?source=collection_home---4------0---------------------" rel="noopener" target="_blank">https://towardsdatasci... | other | 2 |
ai_machinelearning_big_data | [
1144,
1146
] | 2 | 2019-02-12T08:56:14Z | 2019-02-12T08:57:40Z | <b>Автономная езда по тротуару посредством OpenCV и Tensorflow</b><br/><br/><a href="https://habr.com/ru/post/439928/" rel="noopener" target="_blank">https://habr.com/ru/post/439928/</a>
<b>Deep Generative Modeling</b><br/><br/><a href="https://www.youtube.com/watch?v=yFBFl1cLYx8" rel="noopener" target="_blank">https:... | other | 2 |
ai_machinelearning_big_data | [
1147,
1148
] | 2 | 2019-02-13T08:07:20Z | 2019-02-13T08:07:45Z | <b>A Simple Baseline for Bayesian Deep Learning</b><br/><br/><a href="https://github.com/wjmaddox/swa_gaussian" rel="noopener" target="_blank">https://github.com/wjmaddox/swa_gaussian</a>
<b>Predict malignancy in cancer tumors with your own neural network</b><br/><br/><a href="https://towardsdatascience.com/predict-ma... | other | 2 |
ai_machinelearning_big_data | [
1149,
1150
] | 2 | 2019-02-14T08:49:35Z | 2019-02-14T08:52:33Z | <b>The Ancient Secrets of Computer Vision University of Washington.</b><br/><br/>Free course<br/>This class is a general introduction to computer vision. It covers standard techniques in image processing like filtering, edge detection, stereo, flow, etc. , as well as newer, machine-learning based computer vision. <br/>... | other | 2 |
ai_machinelearning_big_data | [
1151,
1152
] | 2 | 2019-02-15T08:37:38Z | 2019-02-15T08:37:56Z | <b>Nature Machine Intelligence</b>
<b>What To Optimize for? Loss Function Cheat Sheet</b><br/><br/><a href="https://medium.com/@urimerhav/what-to-optimize-for-loss-function-cheat-sheet-5fc8b1339939" rel="noopener" target="_blank">https://medium.com/@urimerhav/what-to-optimize-for-loss-function-cheat-sheet-5fc8b1339939... | other | 1 |
ai_machinelearning_big_data | [
1153
] | 1 | 2019-02-16T08:19:52Z | 2019-02-16T08:19:52Z | <b>Box Convolution Layer for ConvNets</b><br/><br/>This is a PyTorch implementation of the box convolution layer as introduced in the 2018 NeurIPS paper:<br/><br/><a href="https://github.com/shrubb/box-convolutions" rel="noopener" target="_blank">https://github.com/shrubb/box-convolutions</a> | tldr | 2 |
ai_machinelearning_big_data | [
1156
] | 1 | 2019-02-17T14:36:51Z | 2019-02-17T14:36:51Z | Image Segmentation using Python’s scikit-image module<br/><br/><a href="https://towardsdatascience.com/image-segmentation-using-pythons-scikit-image-module-533a61ecc980" rel="noopener" target="_blank">https://towardsdatascience.com/image-segmentation-using-pythons-scikit-image-module-533a61ecc980</a> | other | 1 |
ai_machinelearning_big_data | [
1158,
1159,
1160,
1161
] | 4 | 2019-02-18T08:14:07Z | 2019-02-18T08:15:18Z | <b>Russian AI Cup 2018, история 9 места</b><br/><br/><a href="https://habr.com/ru/post/440574/" rel="noopener" target="_blank">https://habr.com/ru/post/440574/</a>
<b>How Should Self-Driving Cars Choose Who Not to Kill?</b><br/><br/><a href="https://medium.com/@MORGANMEAKER/how-should-self-driving-cars-choose-who-not-... | other | 2 |
ai_machinelearning_big_data | [
1162
] | 1 | 2019-02-19T07:15:09Z | 2019-02-19T07:15:09Z | <b>Convolutional Neural Nets in PyTorch</b><br/><br/><a href="https://blog.algorithmia.com/convolutional-neural-nets-in-pytorch/" rel="noopener" target="_blank">https://blog.algorithmia.com/convolutional-neural-nets-in-pytorch/</a> | other | 1 |
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