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KDnuggets Home » News » 2020 » Jul » Top Stories, Tweets » Top KDnuggets tweets, Jul 22-28: Increase your expertise in machine learning with a foundational understanding of Bayesian Statistics ( 20:n30 )

Top KDnuggets tweets, Jul 22-28: Increase your expertise in machine learning with a foundational understanding of Bayesian Statistics


 
 
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Also Why You Should Get Google New #MachineLearning Certificate; Remote #DataScience Internships For Everyone.


Most popular @KDnuggets tweets for Jul 22-28 were

Most Retweeted, Most Favorited, Most Viewed, Most Engaging
Increase your expertise in machine learning with a foundational understanding of Bayesian Statistics. https://t.co/SNQyVMXubh https://t.co/vc3PmRySLY Bayes Theorem in neon



Top 10 most clicked tweets
  1. Increase your expertise in machine learning with a foundational understanding of Bayesian Statistics. https://t.co/SNQyVMXubh https://t.co/vc3PmRySLY
  2. Why You Should Get Google's New #MachineLearning Certificate https://t.co/A383tkJi8K https://t.co/fXpCn68qkB
  3. Remote #DataScience Internships For Everyone [With Certificates] https://t.co/wOXj8y4bFU https://t.co/sMPSJ8gn3R
  4. If You Think #GPT3 Makes Coders Obsolete, You Probably Do Not Write Code #DeepLearning @OpenAI https://t.co/cPhgFgIatk https://t.co/HLZLTgbhCU
  5. If I had to start learning #DataScience again, how would I do it? https://t.co/Q8OffahogJ https://t.co/5jqytugAj9
  6. Computational Linear Algebra for Coders: The Free Course by @math_rachel - KDnuggets https://t.co/9CVPGVcMAd https://t.co/mNvK0FvBIa
  7. Top 10 AI, #MachineLearning Research Articles to know #KDN https://t.co/yFhzIhbmBS
  8. Top Google #AI Tools for Everyone https://t.co/TXZVhzq9Bf https://t.co/L8ZszPOVIP
  9. Five Interesting Data Engineering Projects #KDN https://t.co/9CMjH5DITD
  10. Linear to Logistic Regression, Explained Step by Step #KDN https://t.co/ttij04kaYK



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KDnuggets Home » News » 2020 » Jul » Top Stories, Tweets » Top KDnuggets tweets, Jul 22-28: Increase your expertise in machine learning with a foundational understanding of Bayesian Statistics ( 20:n30 )

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