Top KDnuggets tweets, Sep 02-08: Training alone is never enough to generate effective supervised machine learning models
Also: Tensorbook, a #DeepLearning laptop; 5 Concepts Every #dataScientist Should Know: Multicollinearity, encoding, sampling, error, and storytelling; Top 20 #Python AI and #MachineLearning #OpenSource Projects; How To Decide What Data Skills To Learn
Most popular @KDnuggets tweets for Sep 02-08 were:
Most Retweeted, Favorited & Viewed:
Training alone is never enough to generate effective supervised machine learning models. https://t.co/koABOgZaBj https://t.co/M47SzFCzXh
Top 10 most clicked Tweets
Most Retweeted, Favorited & Viewed:
Training alone is never enough to generate effective supervised machine learning models. https://t.co/koABOgZaBj https://t.co/M47SzFCzXh
Top 10 most clicked Tweets
- Tensorbook, a #DeepLearning laptop https://t.co/997Gijf7Gn https://t.co/iKIe58BmIu
- Training alone is never enough to generate effective supervised machine learning models. https://t.co/koABOgZaBj https://t.co/M47SzFCzXh
- 5 Concepts Every #dataScientist Should Know Multicollinearity, encoding, sampling, error, and storytelling. https://t.co/CYnMgiJeWN https://t.co/cZwwz2sxRP
- Top 20 #Python AI and #MachineLearning #OpenSource Projects #KDN https://t.co/z0YGkpqajH
- How To Decide What Data Skills To Learn - KDnuggets https://t.co/2l1fNotjsV https://t.co/a57e6uejR0
- Five #MachineLearning Paradoxes that will Change the Way You Think About Data https://t.co/5KSFcX7RYO https://t.co/8Ilpx9WRqt
- Must Read: Modern #DataScience Skills: 8 Categories, Core Skills, and Hot Skills https://t.co/EBcsSpJj5m https://t.co/L8JYuZyUuW
- #GPT3 wrote this entire @guardian article. The task: To convince humans that robots come in peace and will not destroy humans. Are you scared, human? @OpenAI https://t.co/HsqJQkUknM https://t.co/nuYsktnBpY
- Here is What I’ve Learned in 2 Years as a Data Scientist - KDnuggets https://t.co/t0miIz0dxA https://t.co/4mybTOAHqb
- Four foundational approaches for linear regression. https://t.co/D9aN7LUlow https://t.co/NMICLbPzaY
