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Most Shared, Mar 16-22

  1. new Dive into DL 24 Best (and Free) Books To Understand Machine Learning, by Reashikaa Verma
  2. new Nine lessons learned during my first year as a Data Scientist, by Jacob D Peters
  3. new Five Interesting Data Engineering Projects
  4. new Covid-19, your community, and you a data science perspective
  5. new A Top Machine Learning Algorithm Explained: Support Vector Machines (SVM)
  6. new 50 Must-Read Free Books For Every Data Scientist in 2020
  7. new New Poll: Coronavirus impact on AI/Data Science/Machine Learning community

Most Shared, Mar 16-22

  1. 24 Best (and Free) Books To Understand Machine Learning, by Reashikaa Verma - Mar 20, 2020.
  2. Time Series Classification Synthetic vs Real Financial Time Series, by Matthew Smith - Mar 18, 2020.
  3. Nine lessons learned during my first year as a Data Scientist - Mar 20, 2020.
  4. What is the most effective policy response to the new coronavirus pandemic? - Mar 19, 2020.
  5. The 4 Best Jupyter Notebook Environments for Deep Learning - Mar 19, 2020.
  6. When Will AutoML replace Data Scientists? Poll Results and Analysis - Mar 16, 2020.
  7. A Top Machine Learning Algorithm Explained: Support Vector Machines (SVM) - Mar 18, 2020.

Previous weeks top stories:


 

2020 Top stories each month



Top stories in 2019

Top 10 Technology Trends of 2019;
How to select rows and columns in Pandas
Your AI skills are worth less than you think;
Another 10 Free Must-See Courses for Machine Learning and Data Science.


 

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