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KDnuggets Home » News » 2018 » Nov » Top Stories, Tweets » Top KDnuggets tweets, Oct 31 – Nov 6: 10 More Free Must-Read Books for Machine Learning and Data Science ( 18:n43 )

Top KDnuggets tweets, Oct 31 – Nov 6: 10 More Free Must-Read Books for Machine Learning and Data Science


Also: #DataScientist Personas: What Skills Do They Have and How Much Do They Make?; Cartoon: Halloween Costume for Big Data; Stop Installing Tensorflow Using pip for Performance Sake!; How Machines Understand Our Language: An Introduction to NLP



Most popular @KDnuggets tweets for Oct 31 - Nov 6 were:

Most Retweeted, Favorited, Clicked & Viewed:
10 More Free Must-Read Books for Machine Learning and Data Science https://t.co/Bwot1wDiY1 https://t.co/1IHMAGdPa1

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Top 10 most engaging Tweets
  1. 10 More Free Must-Read Books for Machine Learning and Data Science https://t.co/Bwot1wDiY1 https://t.co/1IHMAGdPa1
  2. #DataScientist Personas: What Skills Do They Have and How Much Do They Make? @Glassdoor https://t.co/jQCO7o9GAt https://t.co/kIcvLu9z57
  3. 3 #DataScientist Personas and How Much Do They Make 1. Core Data Scientist: #Python, R, #SQL - 71% of all listings, $116K 2. Researcher: MATLAB, Java, #Hadoop, Python, R - 15%, $112K 3. #BigData Specialist: Spark, Hive, Hadoop: 14% , $121K @glassdoor https://t.co/jQCO7o9GAt https://t.co/xaRf9B9L7q
  4. Cartoon: Halloween Costume for Big Data. https://t.co/9CAVykKaK8 https://t.co/y6TUAsObhi
  5. Cartoon: #Halloween Costume for #BigData. https://t.co/9CAVykKaK8 https://t.co/LGxCDL1aYq
  6. Stop Installing Tensorflow Using pip for Performance Sake! https://t.co/SpZH3zkpRA https://t.co/l0PPCX3LIm
  7. How Machines Understand Our Language: An Introduction to Natural Language Processing https://t.co/eJDcVQvgIp https://t.co/5RVYmGw9fN
  8. An Introduction to Text Summarization using the TextRank Algorithm (with Python implementation) https://t.co/ZrTPtuWiXY https://t.co/5eSp595Pqg
  9. Top 13 Python Deep Learning Libraries https://t.co/apqMZplUPx https://t.co/YxqXR7n839
  10. A Winning Game Plan For Building Your Data Science Team https://t.co/N88C0Fo8Dt https://t.co/XHsgaLvpsK

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