Top KDnuggets tweets, Jun 14-20: 5 EBooks to Read Before Getting into A Data Science or Big Data Career
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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
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@KDnuggets tweets for Jun 14-20 were
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5 EBooks to Read Before Getting into A #DataScience or #BigData Career #KDN
https://t.co/hjMvnSV2bp
https://t.co/LCYpiBGGAe
Top 10 most engaging Tweets
- 5 EBooks to Read Before Getting into A #DataScience or #BigData Career #KDN https://t.co/hjMvnSV2bp https://t.co/LCYpiBGGAe
- #ICYMI 10 Free Must-Read Books for #MachineLearning and #DataScience https://t.co/mxs8kQCqMP https://t.co/3N43hmXllA
- #Keras implementation of "A simple #NeuralNetwork module for relational reasoning" https://t.co/C54Iyczef4 https://t.co/VJI8M8YxNT
- Applying #deeplearning to real-world problems https://t.co/Nu34EvG4Yv https://t.co/SdnOoeVtKm
- New Andrew Ng #MachineLearning #Book Under Construction, #Free Draft Chapters #KDN https://t.co/AebLpRV7gI https://t.co/pUkxxZZzPA
- #MachineLearning notes: Why the log-likelihood? https://t.co/hBcaIa7I7J https://t.co/eSm1BFetor
- Introducing Machine - the #MachineLearning IDE https://t.co/Jp4IelAxHT https://t.co/afwxKxBpcj
- Cartoon: the distance between Espresso and Cappuccino #KDN https://t.co/jwT8jIKRjA https://t.co/GPvMe0MipN
- Stardust: GPU-based #DataVisualization Library https://t.co/vw0ugWojUE https://t.co/ntlmlGSFvZ
- Multi-Task Learning in Tensorflow: Part 1 #KDN https://t.co/cl93nB4gdL https://t.co/FBnWx2BL3f