Top tweets, Oct 24-30: Building a Question-Answering System from Scratch

Also: Implementing Automated Machine Learning Systems with Open Source Tools; New Book: #LinearAlgebra – what you need for Machine Learning and Data Science now; A General Approach to Preprocessing Text Data; Using Deep Learning To Extract Knowledge From Job Descriptions Most popular @KDnuggets tweets for Oct 24-30 were:

Most Retweeted, Favorited, Viewed & Clicked:
Building a Question-Answering System from Scratch https://t.co/0QpE52XE8g https://t.co/D7uEgDAlif

Image


Top 10 most engaging Tweets
  1. Building a Question-Answering System from Scratch https://t.co/0QpE52XE8g https://t.co/D7uEgDAlif
  2. Implementing Automated Machine Learning Systems with Open Source Tools https://t.co/8XvP9pGe3v https://t.co/hnVD8zxdWe
  3. New Book: #LinearAlgebra – what you need for Machine Learning and Data Science now https://t.co/xiamWAg7Kh https://t.co/2DPAaQHpHv
  4. New Book: Linear Algebra – what you need for Machine Learning and Data Science now https://t.co/xiamWAg7Kh https://t.co/RCgluTjTCT
  5. A General Approach to Preprocessing Text Data https://t.co/XIyEafpmEz https://t.co/mqroKWrK2D
  6. Bokeh 1.0 Release: - Powerful #Bokeh Server — "Shiny For Python" - #Python and Javascript callbacks - Connects PyData tools to web dashboards - an efficient protocol for streaming and array data Full support for Jupyter Notebooks and Jupyter Lab https://t.co/eYUgVaIr4c https://t.co/F0lcdVXtng
  7. Using Deep Learning To Extract Knowledge From Job Descriptions https://t.co/yvkkdFLPwe https://t.co/4zFtIv8S5v
  8. Only Numpy: Implementing GANs and Adam Optimizer using Numpy https://t.co/jeHUJWBVRh https://t.co/nnKX0H578p
  9. Simplifying Decision Tree Interpretability with Python & Scikit-learn https://t.co/klmmrENcXx https://t.co/zOMJqBRrSZ
  10. Introducing ReviewNB: Visual Diff for Jupyter Notebooks https://t.co/JXQnknfkKP https://t.co/3tr6Jk4jMG