Top Stories, Apr 5-11: Awesome Tricks And Best Practices From Kaggle; How to deploy Machine Learning/Deep Learning models to the web



Most Popular Last Week

  1. Awesome Tricks And Best Practices From KaggleAwesome Tricks And Best Practices From Kaggle, by Bex T.
  2. Shapash: Making Machine Learning Models Understandable, by Yann Golhen
  3. A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 2, by Emma Ding
  4. How to deploy Machine Learning/Deep Learning models to the web, by Ahmad Anis
  5. Working With Time Series Using SQL, by Michael Grogan

Most Shared Last Week

  1. How to deploy Machine Learning/Deep Learning models to the web, by Ahmad Anis
  2. Interpretable Machine Learning: The Free eBook, by Matthew Mayo
  3. Why machine learning struggles with causality, by Ben Dickson
  4. Awesome Tricks And Best Practices From Kaggle, by Bex T.
  5. How to Dockerize Any Machine Learning Application, by Arunn Thevapalan

Most Popular Tweets Last Week

  1. The #DeepLearning Course by top #AI researcher Yann Lecun at NYU CDS is Now Fully Online & Accessible to All @ylecun @alfcnz @NYUDataScience
  2. 10 Must-Know #Statistical Concepts for #DataScientists
  3. Interpretable #MachineLearning: The Free eBook – KDnuggets
  4. 7 Must-Try #DataVisualization Libraries in #Python
  5. 24 Best (and #Free) #Books To Understand #MachineLearning – KDnuggets #KDN

Most Popular Past 30 Days

  1. More Data Science Cheatsheets, by Matthew Mayo
  2. Top 10 Python Libraries Data Scientists should know in 2021, by Terence Shin
  3. How to Succeed in Becoming a Freelance Data Scientist, by Devin Partida
  4. How To Overcome The Fear of Math and Learn Math For Data Science, by Arnuld On Data
  5. Shapash: Making Machine Learning Models Understandable, by Yann Golhen

Most Shared Past 30 Days

  1. More Data Science Cheatsheets, by Matthew Mayo
  2. How to Succeed in Becoming a Freelance Data Scientist, by Devin Partida
  3. Top 10 Python Libraries Data Scientists should know in 2021, by Terence Shin
  4. How to deploy Machine Learning/Deep Learning models to the web, by Ahmad Anis
  5. Interpretable Machine Learning: The Free eBook, by Matthew Mayo





Source link

Leave a Reply

Your email address will not be published. Required fields are marked *