Top February Stories: The Death of Data Scientists – will AutoML replace them?
Also: Learning from 3 big Data Science career mistakes; Leaders, Changes, and Trends in Gartner 2020 MQ Data Science and Machine Learning Platforms; Why Did I Reject a Data Scientist Job; Free Mathematics Courses for Data Science & Machine Learning.
By Gregory Piatetsky, KDnuggets on March 6, 2020 in Top stories
Here are the most popular posts in KDnuggets in February.
(*) indicates that badge added or upgraded based on these monthly results.
Most Viewed - Platinum Badge (>20,000 UPV)
- The Death of Data Scientists - will AutoML replace them?, by Joseph Chin, Aifaz Gowani, Gabriel James, and Matthew Peng (*)
Most Viewed - Gold Badge (>10,000 UPV)
- Learning from 3 big Data Science career mistakes, by Lispy Arnuld
- Why Did I Reject a Data Scientist Job?, by Admond Lee
- Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms, by Gregory Piatetsky (*)
Most Viewed - Silver Badge (> 5,000 UPV)
- 12-Hour Machine Learning Challenge: Build & deploy an app with Streamlit and DevOps tools, by Ian Xiao
- Fourier Transformation for a Data Scientist, by Nagesh Singh Chauhan
- Free Mathematics Courses for Data Science & Machine Learning, by Matthew Mayo
- Python and R Courses for Data Science, by Asel Mendis (*)
- 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1), by Matthew Mayo
- Math for Programmers - your guide for solving math problems in code, by Manning Publications
- The Data Science Puzzle - 2020 Edition, by Matthew Mayo
Most Shared - Platinum Badge (>1,000 shares)
- The Death of Data Scientists - will AutoML replace them?, by Joseph Chin, Aifaz Gowani, Gabriel James, and Matthew Peng
Most Shared - Gold Badge (>500 shares)
- Free Mathematics Courses for Data Science & Machine Learning, by Matthew Mayo
- Fourier Transformation for a Data Scientist, by Nagesh Singh Chauhan
Most Shared - Silver Badge (>300 shares)
- 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1), by Matthew Mayo
- Probability Distributions in Data Science, by Pier Paolo Ippolito
- The Big Bad NLP Database: Access Nearly 300 Datasets, by Matthew Mayo (*)
- Learning from 3 big Data Science career mistakes, by Lispy Arnuld
- The Data Science Puzzle - 2020 Edition, by Matthew Mayo
- Python and R Courses for Data Science, by Asel Mendis
(*) 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.- The Big Bad NLP Database: Access Nearly 300 Datasets, by Matthew Mayo
- Audio Data Analysis Using Deep Learning with Python (Part 1), by Nagesh Singh Chauhan
- Probability Distributions in Data Science, by Pier Paolo Ippolito
- What Does it Mean to Deploy a Machine Learning Model?, by Luigi Patruno
- Top 5 Data Science Trends for 2020, by Prateek Shah
- Free Mathematics Courses for Data Science & Machine Learning, by Matthew Mayo
Top Posts Last Week |
---|
|
More Recent Posts
- KDnuggets News, May 31: Bard for Data Science Cheat Sheet • ...
- Go from Engineer to ML Engineer with Declarative ML
- Solving 5 Complex SQL Problems: Tricky Queries Explained
- KDnuggets Top Posts for March 2023: AutoGPT: Everything You Ne...
- The Top AutoML Frameworks You Should Consider in 2023
- How Hard is it to Get into FAANG Companies
- Deep Learning with R
- LLM Apocalypse Now: Revenge of the Open Source Clones
- Integrating ChatGPT Into Data Science Workflows: Tips and Best...
- The Role of Open Source Tools in Accelerating Data Science Pro...
Related Posts
Get The Latest News!
Published on March 6, 2020 by