Top tweets, Apr 25 – May 1: Detecting Sarcasm with Deep Convolutional #NeuralNetworks

Also: Building Convolutional #NeuralNetwork using NumPy from Scratch; Top 16 Open Source #DeepLearning Libraries and Platforms; #Python Regular Expressions Cheat Sheet Most popular @KDnuggets tweets for Apr 25 - May 1 were:

Most Retweeted, Favorited, Viewed & Clicked:
Detecting Sarcasm with Deep Convolutional #NeuralNetworks https://t.co/xygX2UzWnf https://t.co/zNhamf3aTM

Sarcasm


Top 10 most engaging Tweets
  1. Detecting Sarcasm with Deep Convolutional #NeuralNetworks https://t.co/xygX2UzWnf https://t.co/zNhamf3aTM
  2. Building Convolutional #NeuralNetwork using NumPy from Scratch https://t.co/MLeGfmfyTn https://t.co/QH6qMsNYlo
  3. Top 16 Open Source #DeepLearning Libraries and Platforms https://t.co/JUmHnPuuxV https://t.co/oOHnexXmez
  4. #Python Regular Expressions Cheat Sheet https://t.co/bmmd5WIXwb https://t.co/0CCwSBbNzH
  5. Choosing the Right Metric for Evaluating #MachineLearning Models – Part 1 https://t.co/bboYHlKlgz https://t.co/0q0EY2QmR6
  6. How to Make #AI More Accessible by @math_rachel https://t.co/nrrbQB4t4z https://t.co/T8RbayOJBZ
  7. Implementing #DeepLearning Methods and Feature Engineering for Text Data: The GloVe Model https://t.co/bKF9wboFdP https://t.co/UTjjRnOTZB
  8. #Python Forecasting Methods : Part I https://t.co/u8gkI8XbMz https://t.co/VHSjK4raLZ
  9. A Brief Introduction to Wikidata - Learn how to query data from Wikipedia https://t.co/9dHRcRNBjA https://t.co/qPmti4DSwc
  10. Choosing the Right Metric for Evaluating #MachineLearning Models – Part 1 https://t.co/bboYHlKlgz https://t.co/dtJhdHn1Pq