Top August Stories: How to Become More Marketable as a Data Scientist

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

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

1. How to Become More Marketable as a Data Scientist, by Andrew Ste (*)

Most Viewed - Gold Badge (>12,000 UPV)

2. Top Handy SQL Features for Data Scientists, by Saurabh Hooda
3. 12 NLP Researchers, Practitioners & Innovators You Should Be Following, by Matthew Mayo
4. What 70% of Data Science Learners Do Wrong, by Dan Becker
5. Knowing Your Neighbours: Machine Learning on Graphs, by Pantelis Elinas
6. Command Line Basics Every Data Scientist Should Know, by Rebecca Vickery (*)

Most Viewed - Silver Badge (> 6,000 UPV)

7. Object-oriented programming for data scientists: Build your ML estimator, by Tirthajyoti Sarkar
8. Deep Learning for NLP: ANNs, RNNs and LSTMs explained!, by Jaime Zornoza
9. 6 Key Concepts in Andrew Ng's "Machine Learning Yearning", by Niklas Donges (*)
10. The Easy Way to Do Advanced Data Visualisation for Data Scientists, by George Seif (*)
11. Is Kaggle Learn a "Faster Data Science Education?", by Matthew Mayo (*)
12. Deep Learning for NLP: Creating a Chatbot with Keras!, by Jaime Zornoza
13. What is Benford's Law and why is it important for data science?, by Tirthajyoti Sarkar
14. Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch, by Rafay Khan
15. Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal, by Simpliv LLC
16. New Poll: Data Science Skills, by Gregory Piatetsky (*)

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Most Shared - Gold Badge (>600 shares)

1. Knowing Your Neighbours: Machine Learning on Graphs, by Pantelis Elinas
2. How to Become More Marketable as a Data Scientist, by Andrew Ste
3. 12 NLP Researchers, Practitioners & Innovators You Should Be Following, by Matthew Mayo

Most Shared - Silver Badge (>300 shares)

4. Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch, by Rafay Khan
5. Deep Learning for NLP: ANNs, RNNs and LSTMs explained!, by Jaime Zornoza
6. Understanding Cancer using Machine Learning, by Pier Paolo Ippolito (*)
7. The Easy Way to Do Advanced Data Visualisation for Data Scientists, by George Seif
8. What 70% of Data Science Learners Do Wrong, by Dan Becker
9. 6 Key Concepts in Andrew Ng's "Machine Learning Yearning", by Niklas Donges
10. Why Data Visualization Is The Most Important Skill in a Data Analyst, by Arsenal Simpliv
11. Types of Bias in Machine Learning, by Asel Mendis
12. Statistical Modelling vs Machine Learning, by Asel Mendis (*)
13. Deep Learning Next Step: Transformers and Attention Mechanism, by Preet Gandhi (*)

(*) 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. Types of Bias in Machine Learning, by Asel Mendis
2. Understanding Cancer using Machine Learning, by Pier Paolo Ippolito
3. Lagrange multipliers with visualizations and code, by Rohit Pandey
4. Order Matters: Alibaba's Transformer-based Recommender System, by Serena McDonnell (Edited by Susan Shu & by Omar Nada)
5. Introducing AI Explainability 360: A New Toolkit to Help You Understand what Machine Learning Models are Doing, by Jesus Rodriguez
6. Deep Learning Next Step: Transformers and Attention Mechanism, by Preet Gandhi
7. Statistical Modelling vs Machine Learning, by Asel Mendis