KDnuggets Home » News » 2019 » Apr » Top Stories, Tweets » Top March Stories: Another 10 Free Must-Read Books for Machine Learning and Data Science ( 19:n15 )

Top March Stories: Another 10 Free Must-Read Books for Machine Learning and Data Science


 
 
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Also: Artificial Neural Networks Optimization using Genetic Algorithm with Python; Who is a typical Data Scientist in 2019?


By , KDnuggets.
Here are the most popular posts in KDnuggets in March, based on the number of unique page views (UPV), and social share counts from Facebook, Twitter, and AddThis.

Platinum BlogMost Viewed - Platinum Badge (>24,000 UPV)

  1. Another 10 Free Must-Read Books for Machine Learning and Data Science, Matthew Mayo (*)


Gold BlogMost Viewed - Gold Badges (>12,000 UPV)

  1. Who is a typical Data Scientist in 2019?, Iliya Valchanov


Silver BlogMost Viewed - Silver Badges (> 6,000 UPV)

  1. What no one will tell you about data science job applications, Edouard Harris
  2. The Pareto Principle for Data Scientists, Pradeep Gulipalli
  3. 19 Inspiring Women in AI, Big Data, Data Science, Machine Learning, Gregory Piatetsky
  4. Explaining Random Forest (with Python Implementation), The Learning Machine
  5. My favorite mind-blowing Machine Learning/AI breakthroughs, Jerry Chi (*)
  6. R vs Python for Data Visualization, Asel Mendis


Platinum BlogMost Shared - Platinum Badge (>1,200 shares)

  1. Artificial Neural Networks Optimization using Genetic Algorithm with Python, Ahmed Gad (*)
  2. Another 10 Free Must-Read Books for Machine Learning and Data Science, Matthew Mayo


Silver BlogMost Shared - Gold Badges (>600 shares)

  1. Who is a typical Data Scientist in 2019?, Iliya Valchanov
  2. R vs Python for Data Visualization, Asel Mendis


Silver BlogMost Shared - Silver Badges (>300 shares)

  1. The Pareto Principle for Data Scientists, Pradeep Gulipalli
  2. 8 Reasons Why You Should Get a Microsoft Azure Certification, Simplilearn
  3. 19 Inspiring Women in AI, Big Data, Data Science, Machine Learning, Gregory Piatetsky
  4. The Deep Learning Toolset - An Overview, Timon Ruban
  5. How To Work In Data Science, AI, Big Data, Richard Freeman (*)


(*) 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. Artificial Neural Networks Optimization using Genetic Algorithm with Python, Ahmed Gad
  2. 8 Reasons Why You Should Get a Microsoft Azure Certification, Simplilearn
  3. Neural Networks with Numpy for Absolute Beginners - Part 2: Linear Regression, Suraj Donthi
  4. Top 8 Data Science Use Cases in Manufacturing, ActiveWizards
  5. R vs Python for Data Visualization, Asel Mendis





Top Stories Past 30 Days

Most Popular
  1. How to Speed up Pandas by 4x with one line of code
  2. 10 Free Must-read Books on AI
  3. How to select rows and columns in Pandas using [ ], .loc, iloc, .at and .iat
  4. Data Science for Managers: Programming Languages
  5. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
  6. How to Become a (Good) Data Scientist — Beginner Guide
  7. The Complete Data Science LinkedIn Profile Guide
Most Shared
  1. How to Speed up Pandas by 4x with one line of code
  2. Open Source Projects by Google, Uber and Facebook for Data Science and AI
  3. Python, Selenium & Google for Geocoding Automation: Free and Paid
  4. Getting Started with Automated Text Summarization
  5. Text Encoding: A Review
  6. Automated Machine Learning Project Implementation Complexities
  7. 10 Free Top Notch Machine Learning Courses

KDnuggets Home » News » 2019 » Apr » Top Stories, Tweets » Top March Stories: Another 10 Free Must-Read Books for Machine Learning and Data Science ( 19:n15 )

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