Top KDnuggets tweets, Nov 30 – Dec 06: A great and useful collection of minimal and clean implementations of #MachineLearning algorithms

Most popular @KDnuggets tweets for Nov 30 - Dec 06 were

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A great and useful collection of minimal and clean implementations of #MachineLearning algorithms https://t.co/RkpNNP3wBD https://t.co/Iy18vLg6qH



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A great and useful collection of minimal and clean implementations of #MachineLearning algorithms https://t.co/RkpNNP3wBD https://t.co/Iy18vLg6qH

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30 Cant miss Harvard Business Review articles on #DataScience, #BigData and #Analytics #KDN https://t.co/7NiIQwRE5I

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A great and useful collection of minimal and clean implementations of #MachineLearning algorithms https://t.co/RkpNNP3wBD https://t.co/Iy18vLg6qH

Top 10 most engaging Tweets

1. A great and useful collection of minimal and clean implementations of #MachineLearning algorithms https://t.co/RkpNNP3wBD https://t.co/Iy18vLg6qH
2. #MachineLearning Yearning book draft (Ch. 1-12) - Free Download, by top ML Expert, Baidu #AI chief @AndrewYNg https://t.co/aNB0oIjn5W https://t.co/uUAorL2KK3
3. A short guide to learn #NeuralNets, and maybe get famous and rich #DeepLearning https://t.co/KGrW6JTvwG https://t.co/IHOwmCS8Ny
4. Free Book: Foundations of Computer Science, Aho & Ullman https://t.co/7T1wgkjRHZ https://t.co/8Sue5sA3ZJ
5. #DataScience Basics: Statistical Mistakes and How to Avoid Them https://t.co/3DWkfxy8GT https://t.co/owund4q04C
6. Very nice #MachineLearning basics overview: Random Forests in #Python https://t.co/PdNfTWbLA5 @YhatHQ https://t.co/jnc6Jy55TO
7. Deep Learning Papers: Papers about #deeplearning ordered by task, date https://t.co/xEysAqlXyh https://t.co/llfDHSycve
8. The Top 7 #BigData Trends for 2017 @VanRijmenam @Datafloq https://t.co/5R6cWpgbKM https://t.co/0rSTqsx1BC
9. A Complete Tutorial on Tree Based Modeling from Scratch (#rstats & #Python) https://t.co/mFvyWjTNDV @AnalyticsVidhya https://t.co/K0LTAB31Y1
10. Game Theory reveals the Future of #DeepLearning by @IntuitMachine https://t.co/gJXjVDEFeb https://t.co/eh2V9sqpOD