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With natural systems, we do our best to derive the manual with logic informed by observation.
JJ
https://towardsdatascience.com/a-systematic-approach-to-deriving-unknown-rules-3d59d4d286a9 | A Systematic Approach to Deriving Unknown Rules | [
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Prepare yourself for unforeseeable future with text mining
Hannah Yan Han
https://towardsdatascience.com/a-textual-portrait-of-alien-spaceships-606f7e881bf6 | A textual portrait of alien spaceships | [
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Data Science is not easy, but thanks to many publications like Towards Data Science is easier now to understand hard concepts in an easy way. This article is my
Favio V zquez
https://towardsdatascience.com/a-thank-you-note-to-towards-data-science-58b714a824f8 | A Thank You note to Towards Data Science | [
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Review of
William Koehrsen
https://towardsdatascience.com/a-theory-of-prediction-10cb335cc3f2 | A Theory of Prediction | [
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Notebooks come alive when interactive
Tirthajyoti Sarkar
https://towardsdatascience.com/a-very-simple-demo-of-interactive-controls-on-jupyter-notebook-4429cf46aabd | A very simple demo of interactive controls on Jupyter notebook | [
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Hi everyone! In this article Ill share with you several videos that will walk you through Deep Cognitions Platform and Deep Learning Studio. We will run simple
Favio V zquez
https://towardsdatascience.com/a-video-walkthrough-of-deep-cognition-fd0ca59d2f76 | A video walkthrough of Deep Cognition | [
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Neural Networks, which are found in a variety of flavors and types, are state of the art
Shikhar Sharma
https://towardsdatascience.com/a-visual-introduction-to-neural-networks-68586b0b733b | A Visual Introduction to Neural Networks | [
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There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction. Spanish version here.
Favio V zquez
https://towardsdatascience.com/a-weird-introduction-to-deep-learning-7828803693b0 | A weird introduction to Deep Learning | [
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In the last yarlp blog post, I ran Double Deep Q-Learning on Atari, which took around 1-1.5 days to train per Atari environment for 40M frames. I
Baruch Tabanpour
https://towardsdatascience.com/a2c-5bac24e4b875 | A2C | [
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Often when I talk to organizations that are looking to implement data science into their processes
Koo Ping Shung
https://towardsdatascience.com/accuracy-precision-recall-or-f1-331fb37c5cb9 | Accuracy, Precision, Recall or F1? | [
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The first Reproducible Quality-Efficient Systems Tournament (ReQuEST) will debut at ASPLOS18 ( ACM
Grigori Fursin
https://towardsdatascience.com/acm-request-1st-open-and-reproducible-tournament-to-co-design-pareto-efficient-deep-learning-ea8e5a13d777 | ACM ReQuEST: 1st open and reproducible tournament to co-design Pareto-efficient deep learning (speed, accuracy, energy, size, costs) | [
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So why do we need Activation functions in our neural networks?
Dhaval Dholakia
https://towardsdatascience.com/activation-functions-b63185778794 | Activation Functions | [
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Using Voronois, single pass rendering, and canvas components for
Andrew McNutt
https://towardsdatascience.com/advanced-visualization-with-react-vis-efc5c6667b4 | Advanced Visualization with react-vis | [
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TWiML Talk 119
Sam Charrington
https://towardsdatascience.com/adversarial-attacks-against-reinforcement-learning-agents-512f7703ad0f | Adversarial Attacks Against Reinforcement Learning Agents | [
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By Lukasz Burzawa, Abhishek Chaurasia and Eugenio Culurciello
Eugenio Culurciello
https://towardsdatascience.com/adversarial-predictive-networks-3aa7026d53d2 | Adversarial predictive networks | [
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by JD
Dabbing for Data
https://towardsdatascience.com/ai-and-creating-the-worlds-ultimate-chocolate-chip-cookies-f8c688fe3f98 | AI and Creating the Worlds Ultimate Chocolate Chip Cookies | [
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What Zen Teaches About Insights
Formulated.by
https://towardsdatascience.com/ai-and-machine-learning-in-cyber-security-d6fbee480af0 | AI and Machine Learning in Cyber Security | [
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Discover this article in French
Jeremy S. Cohen
https://towardsdatascience.com/ai-and-the-vehicle-went-autonomous-e176c73239c6 | AI And the vehicle went autonomous | [
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I have written in the past about the high demand for AI talent, and the low supply of highly qualified personnel to fill this demand. The void left by big companies eating up all of the talent is driving up the cost of AI development, just at
Daniel Shapiro, PhD
https://towardsdatascience.com/ai-consulting-the-reverse-... | AI Consulting & The Reverse Marshmallow Experiment | [
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Note that this article is part of the series AI for artists .
Savio Rajan
https://towardsdatascience.com/ai-for-artists-part-2-c3e41653747a | AI for artists : Part 2 | [
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Social scientists use AI to analyze our behavioral patterns and model hypothetical situations. While this research is mostly theoretical, some companies and governments apply AI tech for surveillance over the internet. In addition, developers apply it for
Egor Dezhic
https://towardsdatascience.com/ai-in-social-analysis... | AI in Social Analysis and Crowd Control | [
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A few months ago I gave a presentation to NYUs business analytics club, the topic, as youve
Shanif Dhanani
https://towardsdatascience.com/ai-introduction-for-business-students-eab499a13f31 | AI Introduction for Business Students | [
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Our home lives are forever changing. If you ask anyone what utilities they use at home
Luke James
https://towardsdatascience.com/ai-is-the-utility-of-the-next-generation-6b2c8ee6f428 | AI is the utility of the next generation | [
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AI planning research
Ryan Shrott
https://towardsdatascience.com/ai-planning-historical-developments-edcd9f24c991 | AI Planning Historical Developments | [
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Using Tensorflow I have made an AI that plays Asphalt using convolutional neural network. It is based upon Behavior cloning.
Sampanna Sharma
https://towardsdatascience.com/ai-plays-asphalt-using-neural-network-40a58c015189 | AI plays Asphalt using Neural Network. | [
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This post covers the paper Visual Reinforcement Learning with Imagined Goals by Nair et al, which can be found here.
Neeraj Prasad
https://towardsdatascience.com/ai-research-deep-dive-visual-reinforcement-learning-with-imagined-goals-862115d122a6 | AI Research Deep Dive: Visual Reinforcement Learning with Imagined Goals | [
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When designing a system to be more intelligent, faster or even responsible for activities which we would traditionally give to a human, we need to establish rules and control mechanisms to ensure that the AI is safe and does what we intend for it to do.
Ben Gilburt
https://towardsdatascience.com/ai-the-control-problem-... | AIThe control problem | [
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The Wealth of Nations, by Adam Smith, should be a required reading for every head of state. What took 17 years to
Rodrigo Salvaterra
https://towardsdatascience.com/ai-the-wealth-of-nations-f197037f182b | AI: The Wealth of Nations | [
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Last year I co-founded a company that strives to answer all your questions using AI (we started with sexual health). We made a rule based bot and christened her Sophie Bot - her story is the subject of my first and only previous post ;-)
Irving Amukasa
https://towardsdatascience.com/ai-twitter-bot-that-trolls-trump-321... | AI twitter bot that trolls trump | [
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Its 1850. Michael Faraday is feeling goodhes tinkering about with
Avinash Royyuru
https://towardsdatascience.com/ai-vs-electricity-the-ai-startup-playbook-abf223b52547 | AI vs electricity: The AI startup playbook | [
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Once upon a time, apothecaries and healers sold their medicinal lotions and potions in backstreets and
Hugh Harvey
https://towardsdatascience.com/algorithms-are-the-new-drugs-learning-lessons-from-big-pharma-997e1e7e297b | Algorithms are the New Drugs | [
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Complete Search, Greedy, Divide and Conquer, Dynamic Programming
Vadim Smolyakov
https://towardsdatascience.com/algorithms-in-c-62b607a6131d | Algorithms in C++ | [
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Music and Machine Learning
Pratham Nawal
https://towardsdatascience.com/all-about-the-music-01-ad1b989260df | All about the Music01 | [
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Clustering 143,000 articles with KMeans.
Andrew Thompson
https://towardsdatascience.com/all-the-news-17fa34b52b9d | All the news | [
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Plotting pathways over time
Eric Green
https://towardsdatascience.com/alluvial-diagrams-783bbbbe0195 | Alluvial Diagrams | [
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Today, Numericcal is excited to announce the Alpha release of our platform for deployment
Numericcal
https://towardsdatascience.com/alpha-release-of-numericcal-platform-45fce19b28c3 | Alpha Release of Numericcal Platform | [
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An Outlook over Lending Club Loan Data
Rafael Pierre
https://towardsdatascience.com/an-intro-to-data-science-for-credit-risk-modelling-57935805a911 | An Intro to Data Science for Credit Risk Modelling | [
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A hands-on example for
William Koehrsen
https://towardsdatascience.com/an-introductory-example-of-bayesian-optimization-in-python-with-hyperopt-aae40fff4ff0 | An Introductory Example of Bayesian Optimization in Python with Hyperopt | [
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With a few examples
Aparna C Shastry
https://towardsdatascience.com/an-overview-of-business-metrics-for-data-driven-companies-b0f698710da1 | An Overview of Business Metrics for Data-Driven Companies | [
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Learning about the different network architectures for image classification is a daunting task
Lars Hulstaert
https://towardsdatascience.com/an-overview-of-image-classification-networks-3fb4ff6fa61b | Going deep into image classification | [
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Yes, Ive turned into one of those we could containerise this! people.
Elizabeth Stark
https://towardsdatascience.com/an-r-docker-hello-world-example-881e771214e2 | An R-docker hello world example | [
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Hello in this article, I am going to give some leads on how to create web scraping system that has
Jean-Michel D
https://towardsdatascience.com/analysis-of-the-crossfit-open-2018-jean-michel-d-307cbfb06a13 | Analysis of the Crossfit Open 2018 | [
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Know what jobs are out there in the analytics world.
Stephen Levin
https://towardsdatascience.com/analytics-jobs-startups-and-how-to-find-them-2cc9a0add429 | Analytics Jobs at Startups and How to Find Them | [
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crimes in Chicago in the year 2015 and 2016
Rachna Devasthali
https://towardsdatascience.com/analyzing-crime-with-python-8b28252559ce | Analyzing Crime with Python | [
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IPL 2018 was a bit different from rest of the IPL seasons for many different reasons like
Rachna Devasthali
https://towardsdatascience.com/analyzing-ipl-2018-with-python-e22ea5944dd1 | Analyzing IPL 2018 with python | [
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I am thrilled to announce the official launch of my new podcast, Data Journeys
AJ Goldstein
https://towardsdatascience.com/announcing-the-data-journeys-podcast-57dbbab0f21e | Announcing the Data Journeys Podcast | [
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Recap: Data Science SALON | LA
Formulated.by
https://towardsdatascience.com/applying-ai-and-machine-learning-to-media-and-entertainment-8d3ebc4b68f7 | Applying AI and Machine Learning to Media and Entertainment | [
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In this blog post I will discuss two applications of transfer learning. I will provide an
Lars Hulstaert
https://towardsdatascience.com/applying-transfer-learning-in-nlp-and-cv-d4aaddd7ca90 | Applying transfer learning in NLP and CV | [
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The aim of this article is to give an overview of a typical architecture to build a conversational AI chat-bot. We will review the architecture and the respective components in detail (NoteThe architecture and the terminology referenced in
Ravindra Kompella
https://towardsdatascience.com/architecture-overview-of-a-conv... | Conversational AI chat-botArchitecture overview | [
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Can we use genetic models to create a better
Shaked Zychlinski
https://towardsdatascience.com/are-genetic-models-better-than-random-sampling-8c678002d392 | Are Genetic Models Better Than Random Sampling? | [
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For every moment in our life, there are new technologies that may re-do the previous tasks differently or add something new. For every new technology, is its previous one destroyed and will not be used later? Are automatic feature learning models
Ahmed Gad
https://towardsdatascience.com/are-new-technologies-killing-the... | Are New Technologies Killing their Ancestors? | [
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Are We Ready to Radically Alter How We See the World?
Eric Down
https://towardsdatascience.com/are-we-ready-to-radically-alter-how-we-see-the-world-e196cc6d511 | [
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*Stationary, Auto-correlation, Differencing
SeattleDataGuy
https://towardsdatascience.com/arima-forecasting-vocabulary-ec9b09d55be7 | ARIMA Forecasting Vocabulary | [
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Facebook, Google, and twitter lawyers gave testimony to congress on how they missed the Russian
Daniel Shapiro, PhD
https://towardsdatascience.com/artificial-intelligence-and-bad-data-fbf2564c541a | Artificial Intelligence and Bad Data | [
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Omkar Sabnis and
Sukant Khurana
https://towardsdatascience.com/artificial-intelligence-and-data-science-are-changing-crime-investigation-and-prevention-62a6e6f15283 | Artificial Intelligence and Data Science are changing Crime Investigation and Prevention | [
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Innovate or Die. Grow or wilt. Thats the feeling I have in the AI space today. Recessionary
Daniel Shapiro, PhD
https://towardsdatascience.com/artificial-intelligence-as-magic-e8ba4b3165ea | Artificial Intelligence as Magic | [
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AI is going to change the world.
Daniel Shapiro, PhD
https://towardsdatascience.com/artificial-intelligence-consequences-bd4dc4d537da | Artificial Intelligence: Consequences | [
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This article is a bit of a demo for how we can apply artificial intelligence and data science
Daniel Shapiro, PhD
https://towardsdatascience.com/artificial-intelligence-for-marketing-21aa1a0eb79e | Artificial Intelligence for Marketing | [
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I am doing a video analysis A.I. project for a client, and I want to share with you a
Daniel Shapiro, PhD
https://towardsdatascience.com/artificial-intelligence-for-music-videos-c5ad14e643db | Artificial Intelligence for Music Videos | [
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I wanted to call this article Parasitic Labeling of AI Training Data, but apparently thats too complicated. What I want to tell you about is an often neglected aspect of machine learning: data labeling.
Daniel Shapiro, PhD
https://towardsdatascience.com/artificial-intelligence-get-your-users-to-label-your-data-b5fa7c0c... | Artificial Intelligence: Get your users to label your data | [
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models
Daniel Shapiro, PhD
https://towardsdatascience.com/artificial-intelligence-hyperparameters-48fa29daa516 | Artificial Intelligence: Hyperparameters | [
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AI for Diagnostics, Drug Development, Treatment Personalisation
Markus Schmitt
https://towardsdatascience.com/artificial-intelligence-in-medicine-1fd2748a9f87 | Artificial Intelligence in Medicine | [
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Or how incremental gains let you take baby steps
Josh Sephton
https://towardsdatascience.com/artificial-intelligence-is-childs-play-633444489426 | Artificial Intelligence is Childs Play | [
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Even though we will eventually all be killed by the heat death of the universe (10^100
Daniel Shapiro, PhD
https://towardsdatascience.com/artificial-intelligence-is-probably-safe-ce67f0abd759 | Artificial Intelligence is Probably Safe | [
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Anyone whos seen The Matrix has a general understanding of AI (artificial
Imaginovation
https://towardsdatascience.com/artificial-intelligence-vs-machine-learning-a7d7a13b72d8 | Artificial Intelligence vs. Machine Learning | [
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In past articles, I have put a strong emphasis on the many benefits of supervised learning. When you have labeled data, machine learning works. Its great
Daniel Shapiro, PhD
https://towardsdatascience.com/artificial-intelligence-without-labeled-data-54cdbfbdaad2 | Artificial Intelligence Without Labeled Data | [
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This article is about Artistic Style Transfer or you can call it Neural Style Transfer too. It is interesting to know
Firdaouss Doukkali
https://towardsdatascience.com/artistic-style-transfer-b7566a216431 | Artistic Style Transfer | [
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Typical seq2seq models usually are of the form explained in my blog
Manish Chablani
https://towardsdatascience.com/attention-models-in-nlp-a-quick-introduction-2593c1fe35eb | Attention models in NLP a quick introduction | [
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One of the first problems presented to students of deep learning is to classify handwritten digits in
Boris Smus
https://towardsdatascience.com/audio-features-for-web-based-ml-555776733bae | Audio features for web-based ML | [
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Facing issues while classifying images? Fret not! Augmentation to the rescue!!
Neerja Doshi
https://towardsdatascience.com/augmentation-for-image-classification-24ffcbc38833 | Augmentation for Image Classification | [
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One of the most interesting applications of NLP is automatically infer and tag the topic of a
Susan Li
https://towardsdatascience.com/auto-tagging-stack-overflow-questions-5426af692904 | Auto Tagging Stack Overflow Questions | [
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One way to think of what deep learning does is as A to B mappings, says
Vindula Jayawardana
https://towardsdatascience.com/autoencoders-bits-and-bytes-of-deep-learning-eaba376f23ad | AutoencodersBits and Bytes of Deep Learning | [
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Google AI has finally released the beta version of AutoML, a service that some are
George Seif
https://towardsdatascience.com/autokeras-the-killer-of-googles-automl-9e84c552a319 | AutoKeras: The Killer of Googles AutoML | [
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How to automatically create machine learning features
William Koehrsen
https://towardsdatascience.com/automated-feature-engineering-in-python-99baf11cc219 | Automated Feature Engineering in Python | [
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A complete walk through using Bayesian
William Koehrsen
https://towardsdatascience.com/automated-machine-learning-hyperparameter-tuning-in-python-dfda59b72f8a | Automated Machine Learning Hyperparameter Tuning in Python | [
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An introduction to the future of data science
William Koehrsen
https://towardsdatascience.com/automated-machine-learning-on-the-cloud-in-python-47cf568859f | Automated Machine Learning on the Cloud in Python | [
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Application to computer
Hamaad Shah
https://towardsdatascience.com/automatic-feature-engineering-using-deep-learning-and-bayesian-inference-application-to-computer-7b2bb8dc7351 | Automatic feature engineering using deep learning and Bayesian inference | [
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Application to computer vision and
Hamaad Shah
https://towardsdatascience.com/automatic-feature-engineering-using-generative-adversarial-networks-8e24b3c16bf3 | Automatic feature engineering using Generative Adversarial Networks | [
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Properties of Time Series
Rohan Kotwani
https://towardsdatascience.com/autoregressive-models-in-tensorflow-96d69434cad9 | Autoregressive Models in TensorFlow | [
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awesome
Daniel Shapiro, PhD
https://towardsdatascience.com/aws-sagemaker-ais-next-game-changer-480d79e252a8 | AWS SageMaker: AIs Next Game Changer | [
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Anyone who has shopped on Amazon, listened to music on Spotify, or browsed for a
Janel Roland Chumley
https://towardsdatascience.com/bandits-for-recommender-system-optimization-1d702662346e | Bandits for Recommender System Optimization | [
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As someone who works with time series data on almost a daily basis, I have found the
Laura Fedoruk
https://towardsdatascience.com/basic-time-series-manipulation-with-pandas-4432afee64ea | Basic Time Series Manipulation with Pandas | [
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It is not a news anymore that the field of Big Data is gradually turning into the newest, rich kid on the block. With so many business experts and IT gurus not only welcoming but also praising this new amazing field of technology and development. The possibility that you can now store the entire
Imarticus Learning
http... | Basics of Hadoop | [
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In my previous post, I delved into some of the theoretical concepts underlying
John Olafenwa
https://towardsdatascience.com/basics-of-image-classification-with-keras-43779a299c8b | Basics of image classification with Keras | [
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This article explains batch normalization in a simple way. I wrote this article after what I
Firdaouss Doukkali
https://towardsdatascience.com/batch-normalization-in-neural-networks-1ac91516821c | Batch normalization in Neural Networks | [
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An introduction to making visually attractive PowerPoint slides.
James Chen
https://towardsdatascience.com/beautiful-data-science-presentations-9e9d8fd91446 | Beautiful Data Science Presentations | [
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Helpful Tips for Attending Your First
Lauren Oldja
https://towardsdatascience.com/become-a-better-data-scientist-by-contributing-to-open-source-4a95ce0c865b | Become a Better Data Scientist by Contributing to Open Source | [
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Introduction
Chris Kalahiki
https://towardsdatascience.com/beethoven-picasso-and-artificial-intelligence-caf644fc72f9 | Beethoven, Picasso, and Artificial Intelligence | [
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A little bit of everything
Ashish Yadav
https://towardsdatascience.com/beginners-guide-to-data-science-python-docker-3181fd321a5c | Beginners guide to Data SciencePython + Docker | [
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'Storytelling' is becoming a threat to fact based
Keith McNulty
https://towardsdatascience.com/beware-of-storytelling-with-data-1710fea554b0 | Beware of 'storytelling' in data and analytics | [
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Choosing the right metrics for classification tasks
William Koehrsen
https://towardsdatascience.com/beyond-accuracy-precision-and-recall-3da06bea9f6c | Beyond Accuracy: Precision and Recall | [
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Authored by Corey Caplette
Velir
https://towardsdatascience.com/beyond-the-hype-the-value-of-machine-learning-and-ai-artificial-intelligence-for-businesses-892128f12dd7 | Beyond the Hype: The Value of Machine Learning and AI (Artificial Intelligence) for Businesses (Part 1) | [
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How data may be discriminating you
Federica Pelzel
https://towardsdatascience.com/bias-in-big-data-for-the-non-tech-90fc53729025 | Big Data will be biased, if we let it | [
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A few weeks ago I was in a supermarket with my girlfriend, we were invited to a dinner and we wanted to
Matteo Ronchetti
https://towardsdatascience.com/bibirra-beer-label-recognition-8546c233d6f4 | BiBirra: Beer Label Recognition | [
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The last decade has seen a tremendous proliferation of Big Data. And Big Data
Lakshmi R. Kanchi
https://towardsdatascience.com/big-data-and-ml-a-marriage-between-giants-1d6dc52d54de | Big Data And ML: A Marriage Between Giants! | [
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What happens when our training data is too big to fit on our machine, or training the
Yufeng G
https://towardsdatascience.com/big-data-for-training-models-in-the-cloud-32e0df348196 | Big data for training models in the cloud | [
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We recently explored the Big Data visualization principles. Now its time to
Vladimir Fedak
https://towardsdatascience.com/big-data-information-visualization-techniques-f29150dea190 | Big Data: Information visualization techniques | [
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Correct use of the Big Data analytics and ML algorithms helps boost the customer satisfaction, secure the bottom line and increase the ROI. Quite opposite, the Big Data misuse results will be awful.
Vladimir Fedak
https://towardsdatascience.com/big-data-misuse-can-break-your-business-ef6432dfd188 | Big Data misuse can break your business | [
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The only thing better than data is big data! But getting your hands on large datasets is no easy feat. From
Yufeng G
https://towardsdatascience.com/bigquery-public-datasets-936e1c50e6bc | BigQuery Public Datasets | [
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Big Data has been around for a while and blockchain technology currently rides the hype wave. What results can the concoction of these two innovations produce?
Vladimir Fedak
https://towardsdatascience.com/blockchain-and-big-data-the-match-made-in-heavens-337887a0ce73 | Blockchain and Big Data: the match made in heavens | [
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-0.1724976748228073,
0.194457456469535... |
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