This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written in simple English. The entire series consists of about 120 articles. We intend to publish a new set every two weeks or so. Click here to check out the previous edition. To read more articles from a same author, read one of his/her articles and click on his/her profile picture to access the full list. Some of these articles are curated or posted as guest blogs.

Selected Recent Articles from Top DSC Contributors

• Your Guide to Master Hypothesis Testing in Statistics - By Sunil Ray +
• Generalized Dynamical Machine Learning - By PG Madhavan
• Deep Learning Resource Matrix - By Bob Kot
• Performance From Various Predictive Models - By Dalila Benachenhou
• Data Science for IoT vs Classic Data Science: 10 Differences - By Ajit Jaokar
• Machine Learning is dead – Long live machine learning! - By Srividya Kannan Ramachandran
• Must Know Tips/Tricks in Deep Neural Networks - By Xiu-Shen Wei
• New Machine Learning Cheat Sheet by Emily Barry - By Emily Barry
• Big Data Science: Expectations vs. Reality - By Stepan Pushkarev
• The 3 Phases of Digital Transformation - By Bill Schmarzo
• Choosing features for random forests algorithm - By Maiia Bakhova
• What tomorrow’s business leaders need to know about Machine Learning? - By Bill Schmarzo
• 5 ways to improve the model accuracy of Machine Learning - By Sandeep Raut 
• 9 Points For Data Scientists - By Elvin Prasad
• 5 Phases To Successfully Complete a Data Science Project - By Damian Mingle
• What is Predictive Analytics? - By Matt Ritter 
• Best practices of orchestrating Python and R code in ML projects - By Marija Zoldin
• How to Build a Data Science Team - By Ronald van Loon
• 50 Shades of Grey – The Psychology of a Data Scientist- By Lee Baker
• The Experience of Being a High-Performing Data Scientist- By James Kobielus
• Must Know Tips/Tricks in Deep Neural Networks - By Xiu-Shen Wei

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