Top Stories, May 27 – Jun 2: A Step-by-Step Guide to Transitioning your Career to Data Science – Part 1; Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis

Most Popular Last Week

1. A Step-by-Step Guide to Transitioning your Career to Data Science – Part 1, by Manu Jeevan
2. Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis, by Gregory Piatetsky
3. 7 Steps to Mastering SQL for Data Science — 2019 Edition
4. Understanding Backpropagation as Applied to LSTM
5. 3 Machine Learning Books that Helped me Level Up as a Data Scientist
6. The 3 Biggest Mistakes on Learning Data Science
7. 9 Must-have skills you need to become a Data Scientist, updated

Most Shared Last Week

1. A Step-by-Step Guide to Transitioning your Career to Data Science – Part 1, by Manu Jeevan- May 31, 2019.
2. Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis, by Gregory Piatetsky - May 30, 2019.
3. Understanding Backpropagation as Applied to LSTM - May 30, 2019.
4. How the Lottery Ticket Hypothesis is Challenging Everything we Knew About Training Neural Networks - May 30, 2019.
5. AI in the Family: how to teach machine learning to your kids - May 28, 2019.
6. 3 Machine Learning Books that Helped me Level Up as a Data Scientist - May 28, 2019.
7. Animations with Matplotlib - May 30, 2019.

Most Popular Past 30 Days

1. The most desired skill in data science
2. The Third Wave Data Scientist
3. The 3 Biggest Mistakes on Learning Data Science
4. Data Scientist – Best Job of the Year in USA
5. 7 Steps to Mastering SQL for Data Science — 2019 Edition
6. How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls
7. 2019 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?

Most Shared Past 30 Days

1. 7 Steps to Mastering SQL for Data Science — 2019 Edition - May 17, 2019.
2. The Third Wave Data Scientist - May 06, 2019.
3. The 3 Biggest Mistakes on Learning Data Science - May 06, 2019.
4. The Data Fabric for Machine Learning – Part 1 - May 21, 2019.
5. Machine Learning in Agriculture: Applications and Techniques - May 14, 2019.
6. A Step-by-Step Guide to Transitioning your Career to Data Science – Part 1 - May 31, 2019.
7. Naive Bayes: A Baseline Model for Machine Learning Classification Performance - May 07, 2019.