Top Stories, Jun 19-25: Emerging Ecosystem: Data Science & Machine Learning Software, Analyzed; Machine Learning Algorithms in Self-Driving Cars
Emerging Ecosystem: Data Science and Machine Learning Software, Analyzed; The Machine Learning Algorithms Used in Self-Driving Cars; The world’s first protein database for Machine Learning and AI; Making Sense of Machine Learning; 75 Big Data Terms to Know to Make your Dad Proud
on Jun 26, 2017 in Top stories
Top KDnuggets tweets, Jun 14-20: 5 EBooks to Read Before Getting into A Data Science or Big Data Career
Also 10 Free Must-Read Books for #MachineLearning and #DataScience; #Keras implementation of a simple Neural Net module for relational reasoning; Applying #deeplearning to real-world problems
on Jun 21, 2017 in ebook, Keras, Machine Learning, Top tweets
Top Stories, Jun 12-18: Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap
Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap; The Practical Importance of Feature Selection; Understanding Deep Learning Requires Re-thinking Generalization; K-means Clustering with Tableau
on Jun 19, 2017 in Top stories
Top KDnuggets tweets, Jun 07-13: Is Regression Analysis Really Machine Learning?
Machine Learning in Real Life: Tales from the Trenches; Is Regression Analysis Really Machine Learning?; Implementing Your Own k-Nearest Neighbour Algorithm Using Python; Building Simple Neural Networks - TensorFlow for Hackers.
on Jun 14, 2017 in Andrew Ng, Machine Learning, TensorFlow, Top tweets
Top May Stories: KDnuggets Poll: Software for Analytics, Data Science, Machine Learning; How to Learn Machine Learning in 10 Days
Also Machine Learning Workflows in Python from Scratch Part 1: Data Preparation; Deep Learning - Past, Present, and Future
on Jun 13, 2017 in Top stories
Data Mining Techniques, Free Chapter: Derived Variables – Making the Data Mean More
Download this chapter by Gordon Linoff and Michael Berry, and learn how to create derived variables, which allow the statistical modeling process to incorporate human insights.
on Jun 12, 2017 in Data Mining, Derived Variables, Feature Engineering, JMP, Michael Berry
Top Stories, Jun 5-11: Is Regression Analysis Really Machine Learning?; 6 Interesting Things You Can Do with Python on Facebook Data
Is Regression Analysis Really Machine Learning?; 6 Interesting Things You Can Do with Python on Facebook Data; A Practical Guide to Machine Learning; K-means Clustering with R: Call Detail Record Analysis; Machine Learning in Real Life: Tales from the Trenches to the Cloud
on Jun 12, 2017 in Top stories
Top /r/MachineLearning Posts, May: Deep Image Analogy; Stylized Facial Animations; Google Open Sources Sketch-RNN
Deep Image Analogy; Example-Based Synthesis of Stylized Facial Animations; Google releases dataset of 50M vector drawings, open sources Sketch-RNN implementation; New massive medical image dataset coming from Stanford; Everything that Works Works Because it's Bayesian: Why Deep Nets Generalize?
on Jun 9, 2017 in Deep Learning, Google, Machine Learning, Neural Networks, Reddit
Prepare Your Organization for Smooth AI Adoption
Download this free whitepaper on how to prepare your company for all the challenges that it may face on the way to data-driven prosperity.
on Jun 8, 2017 in AI, InData Labs, White Paper
Top KDnuggets tweets, May 31-Jun 6: Essential Cheat Sheets for #MachineLearning and #DeepLearning
The Artificial #ArtificialIntelligence Bubble and the Future of #Cybersecurity; Which #MachineLearning #Algorithm Should I Use? A handy #cheatsheet; 50 Companies Leading The #AI Revolution, Detailed; #MachineLearning Workflows in #Python from Scratch Part 1: Data Preparation
on Jun 7, 2017 in Top tweets
TPOT Automated Machine Learning Competition: Can AutoML beat humans on Kaggle?
Over the next couple months, we’re going to challenge you to apply TPOT to any data science problem you find interesting on Kaggle. If your entry ranks in the top 25% of the leaderboard on a Kaggle problem, we want to see how TPOT helped you accomplish that.
on Jun 5, 2017 in Automated Data Science, Automated Machine Learning, Competition, Machine Learning
Top Stories, May 29-Jun 4: Machine Learning Workflows in Python from Scratch; Machine Learning Algorithms Cheat Sheet
Machine Learning Workflows in Python from Scratch Part 1: Data Preparation; Which Machine Learning Algorithm Should I Use?; 7 Steps to Mastering Data Preparation with Python; 7 Techniques to Handle Imbalanced Data; Why Does Deep Learning Not Have a Local Minimum?
on Jun 5, 2017 in Top stories
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