KDnuggets Home » News » 2018 » Feb » Top Stories, Tweets » Top KDnuggets tweets, Jan 31 – Feb 6: #DeepLearning for Natural Language Processing: Tutorials with Jupyter Notebooks ( 18:n07 )

Top KDnuggets tweets, Jan 31 – Feb 6: #DeepLearning for Natural Language Processing: Tutorials with Jupyter Notebooks


Also: Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples; Why Generalists Dominate #DataScience - an inconvenient truth; #ICYMI A Beginner’s Guide to Data Engineering  –  Part I



Most popular @KDnuggets tweets for Jan 31 - Feb 6 were:

Most Retweeted, Favorited, Viewed & Clicked:
#DeepLearning for Natural Language Processing: Tutorials with Jupyter Notebooks https://t.co/XiBf4XQm9Y #NLProc https://t.co/pe8oD4XMGf

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Top 10 most engaging Tweets
  1. Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples https://t.co/1axIc3q0WK https://t.co/Joul5xEsCu
  2. #DeepLearning for Natural Language Processing: Tutorials with Jupyter Notebooks https://t.co/XiBf4XQm9Y #NLProc https://t.co/pe8oD4XMGf
  3. Why Generalists Dominate #DataScience - an inconvenient truth https://t.co/HElCvD4Mn5 https://t.co/cneWGd21uf
  4. #ICYMI A Beginner’s Guide to Data Engineering  –  Part I https://t.co/tUNXV85gRG https://t.co/iOiPKvtGdx
  5. The 8 #NeuralNetwork Architectures #MachineLearning Researchers Need to Learn https://t.co/EIec0LnEZ3 #NeuralNetworks https://t.co/7WzfrqXZDZ
  6. The Matrix #Calculus You Need For #DeepLearning #AI #MachineLearning @jeremyphoward https://t.co/hvcFW2Xitn https://t.co/ZwyLgZTnq4
  7. #Python #Excel Tutorial: The Definitive Guide https://t.co/0sWYpNnBLv by @willems_karlijn @DataCamp https://t.co/TivUSSmazd
  8. The Matrix Calculus You Need For #DeepLearning https://t.co/hUf62nhQhF https://t.co/SXrjUxh8AV
  9. Avoid Overfitting with Regularization https://t.co/n6COkLPyXA #MachineLearning https://t.co/JHdWWkYvpY
  10. A Simple Starter Guide to Build a #NeuralNetwork https://t.co/4BvtTCE7ET https://t.co/860RuUABaU

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