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Top Stories, Jul 19-25: Top 6 Data Science Online Courses in 2021; 11 Important Probability Distributions Explained

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Top Stories, Jul 19-25: Top 6 Data Science Online Courses in 2021; 11 Important Probability Distributions Explained

Also: Google’s Director of Research Advice for Learning Data Science; Geometric foundations of Deep Learning; How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?; Design patterns in machine learning


Most Popular Last Week

  1. Top 6 Data Science Online Courses in 2021Top 6 Data Science Online Courses in 2021, by Natassha Selvaraj
  2. Google’s Director of Research Advice for Learning Data Science, by Benjamin Obi Tayo
  3. Geometric foundations of Deep Learning, by Michael Bronstein, Joan Bruna, Taco Cohen, and PV
  4. How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?, by Tirthajyoti Sarkar
  5. Design patterns in machine learning, by Ágoston Török

Most Shared Last Week

  1. 11 Important Probability Distributions Explained, by Terence Shin
  2. Google’s Director of Research Advice for Learning Data Science, by Benjamin Obi Tayo
  3. Design patterns in machine learning, by Ágoston Török
  4. How to Use Kafka Connect to Create an Open Source Data Pipeline for Processing Real-Time Data, by Paul Brebner
  5. Top Stories, Jul 12-18: Top 6 Data Science Online Courses in 2021; Become an Analytics Engineer in 90 Days, by KDnuggets

Most Popular Tweets Last Week

  1. Build #Dashboards in Less Than 10 Lines of Code!
  2. Awesome list of datasets in 100+ categories – KDnuggets #KDN
  3. Design patterns in #machinelearning – Can we abstract best practices to real design patterns yet?
  4. 10 Best #MachineLearning Textbooks that All #DataScientists Should Read – KDnuggets #KDN
  5. 9 Skills You Need to Become a Data Engineer – KDnuggets #KDN

Most Popular Past 30 Days

  1. Data Scientists and ML Engineers Are Luxury Employees, by Adrien Biarnes
  2. Top 6 Data Science Online Courses in 2021, by Natassha Selvaraj
  3. Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python, by DaurEd
  4. A Learning Path To Becoming a Data Scientist, by Sara Metwalli
  5. 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist, by Tessa Xie

Most Shared Past 30 Days

  1. Data Scientists and ML Engineers Are Luxury Employees, by Adrien Biarnes
  2. Relax! Data Scientists will not go extinct in 10 years, but the role will change, by Gregory Piatetsky
  3. Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python, by DaurEd
  4. Become an Analytics Engineer in 90 Days, by Tuan Nguyen
  5. 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist, by Tessa Xie


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Source: https://www.kdnuggets.com/2021/07/top-news-week-0719-0725.html

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