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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