Top KDnuggets tweets, Oct 31 – Nov 6: 10 More Free MustRead Books for Machine Learning and Data Science
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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 MustRead Books for Machine Learning and Data Science https://t.co/Bwot1wDiY1 https://t.co/1IHMAGdPa1
Top 10 most engaging Tweets
Most Retweeted, Favorited, Clicked & Viewed:
10 More Free MustRead Books for Machine Learning and Data Science https://t.co/Bwot1wDiY1 https://t.co/1IHMAGdPa1
Top 10 most engaging Tweets
 10 More Free MustRead Books for Machine Learning and Data Science https://t.co/Bwot1wDiY1 https://t.co/1IHMAGdPa1
 #DataScientist Personas: What Skills Do They Have and How Much Do They Make? @Glassdoor https://t.co/jQCO7o9GAt https://t.co/kIcvLu9z57
 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
 Cartoon: Halloween Costume for Big Data. https://t.co/9CAVykKaK8 https://t.co/y6TUAsObhi
 Cartoon: #Halloween Costume for #BigData. https://t.co/9CAVykKaK8 https://t.co/LGxCDL1aYq
 Stop Installing Tensorflow Using pip for Performance Sake! https://t.co/SpZH3zkpRA https://t.co/l0PPCX3LIm
 How Machines Understand Our Language: An Introduction to Natural Language Processing https://t.co/eJDcVQvgIp https://t.co/5RVYmGw9fN
 An Introduction to Text Summarization using the TextRank Algorithm (with Python implementation) https://t.co/ZrTPtuWiXY https://t.co/5eSp595Pqg
 Top 13 Python Deep Learning Libraries https://t.co/apqMZplUPx https://t.co/YxqXR7n839
 A Winning Game Plan For Building Your Data Science Team https://t.co/N88C0Fo8Dt https://t.co/XHsgaLvpsK
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