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KDnuggets Home » News » 2021 » Nov » Top Stories » Top October Stories: How I Tripled My Income With Data Science in 18 Months; What Google Recommends You do Before Taking Their ML or DS Course

Top October Stories: How I Tripled My Income With Data Science in 18 Months; What Google Recommends You do Before Taking Their ML or DS Course


Also: How to Build Strong Data Science Portfolio as a Beginner; Data Science Portfolio Project Ideas That Can Get You Hired (Or Not); Exclusive: OpenAI summarizes KDnuggets



Here are the most popular October 2021 stories on KDnuggets.

Platinum BlogMost Viewed - Platinum Badge (>32,000 UPV)

  1. How I Tripled My Income With Data Science in 18 Months, by Natassha Selvaraj (*)
  2. What Google Recommends You do Before Taking Their Machine Learning or Data Science Course, by Harshit Tyagi (*)
  3. How to Build Strong Data Science Portfolio as a Beginner, by Abid Ali Awan (*)


Gold BlogMost Viewed - Gold Badge (>16,000 UPV)

  1. Data Scientist vs Data Engineer Salary, by Matthew Przybyla (*)
  2. Learn To Reproduce Papers: Beginner's Guide, by Olga Chernytska (*)
  3. The 20 Python Packages You Need For Machine Learning and Data Science, by Sandro Luck (*)
  4. Data science SQL interview questions from top tech firms, by Nate Rosidi (*)
  5. 365 Data Science courses free until 18 November, by 365 Data Science (*)


Silver BlogMost Viewed - Silver Badge (> 8,000 UPV)

  1. 8 Must-Have Git Commands for Data Scientists, by Soner Yildirim (*)
  2. Surpassing Trillion Parameters and GPT-3 with Switch Transformers – a path to AGI, by Kevin Vu (*)
  3. Here's Why You Need Python Skills as a Machine Learning Engineer, by UCSD (*)
  4. How to Ace Data Science Interview by Working on Portfolio Projects, by Abid Ali Awan
  5. 38 Free Courses on Coursera for Data Science, by Aqsa Zafar
  6. Query Your Pandas DataFrames with SQL, by Matthew Mayo
  7. Introduction to PyTorch Lightning, by Kevin Vu (*)







Gold BlogMost Shared - Gold Badge (>700 shares)

  1. Data Science Portfolio Project Ideas That Can Get You Hired (Or Not), by Nate Rosidi
  2. Exclusive: OpenAI summarizes KDnuggets, by Gregory Piatetsky (*)
  3. How I Tripled My Income With Data Science in 18 Months, by Natassha Selvaraj
  4. What Google Recommends You do Before Taking Their Machine Learning or Data Science Course, by Harshit Tyagi
  5. Machine Learning Model Development and Model Operations: Principles and Practices, by Suresh Yaram
  6. 38 Free Courses on Coursera for Data Science, by Aqsa Zafar
  7. A Guide to 14 Different Data Science Jobs, by Nate Rosidi


Silver BlogMost Shared - Silver Badge (>400 shares)

  1. Avoid These Five Behaviors That Make You Look Like A Data Novice, by Tessa Xie (*)
  2. Learn To Reproduce Papers: Beginner's Guide, by Olga Chernytska
  3. Teaching AI to Classify Time-series Patterns with Synthetic Data, by Tirthajyoti Sarkar
  4. How to Build Strong Data Science Portfolio as a Beginner, by Abid Ali Awan
  5. Four Basic Steps in Data Preparation, by Rosaria Silipo (*)
  6. The 20 Python Packages You Need For Machine Learning and Data Science, by Sandro Luck
  7. Query Your Pandas DataFrames with SQL, by Matthew Mayo
  8. Introduction to AutoEncoder and Variational AutoEncoder (VAE), by Nagesh Chauhan (*)


(*) indicates that badge added or upgraded based on these monthly results.

Most Shareable (Viral) Blogs

Among the top blogs, here are the blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.
  1. Exclusive: OpenAI summarizes KDnuggets, by Gregory Piatetsky
  2. Avoid These Five Behaviors That Make You Look Like A Data Novice, by Tessa Xie
  3. Machine Learning Model Development and Model Operations: Principles and Practices, by Suresh Yaram
  4. Data Science Portfolio Project Ideas That Can Get You Hired (Or Not), by Nate Rosidi
  5. Teaching AI to Classify Time-series Patterns with Synthetic Data, by Tirthajyoti Sarkar


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