Top KDnuggets tweets, May 02-08: Boost your data science skills. Learn linear algebra.
Also: #ApacheSpark: #Python vs. #Scala pros and cons for #DataScience; Loc2Vec: Learning location embeddings with triplet-loss networks; Skewness vs Kurtosis - The Robust Duo.
Most popular
@KDnuggets tweets for May 02-08 were
Most Retweeted, Most Favorited, Most Viewed, Most Clicked
Boost your data science skills. Learn linear algebra.
https://t.co/WCKhfNFkHX
https://t.co/e6QgTOhRQ4
Top 10 most engaging Tweets
Most Retweeted, Most Favorited, Most Viewed, Most Clicked
Boost your data science skills. Learn linear algebra.
https://t.co/WCKhfNFkHX
https://t.co/e6QgTOhRQ4
Top 10 most engaging Tweets
- Boost your data science skills. Learn linear algebra. https://t.co/WCKhfNFkHX https://t.co/e6QgTOhRQ4
- #ApacheSpark : #Python vs. #Scala pros and cons for #DataScience, #MachineLearning https://t.co/NNlj2EdRsL https://t.co/BMhpaGzzmd
- Loc2Vec: Learning location embeddings with triplet-loss networks https://t.co/ozrRcnT017 https://t.co/9xrfJQSAFu
- Skewness vs Kurtosis - The Robust Duo https://t.co/Bly07h5QlH #stats https://t.co/JvwUHWQ5P2
- #DeepLearning Model - RBM (Restricted Boltzmann Machine) using #Tensorflow for Products Recommendation https://t.co/Uz9O6PKHFL https://t.co/2PJimKhjz7
- #Python Regular Expressions Cheat Sheet https://t.co/bmmd5WIXwb https://t.co/rxzdmeM5xQ
- Operational #MachineLearning: Seven Considerations for Successful MLOps https://t.co/WMntkn7WJn https://t.co/RSGrT0QHjD
- 12 Useful Things to Know About #MachineLearning https://t.co/CA6q0CRFfu https://t.co/v0AzqvlMpH
- Deep Conversations: Mathematician Lisha Li on how she thrives as a VC at Amplify Partners to identify, invest and nurture the right #startups in #MachineLearning and #Distributed Systems https://t.co/9h9VeNfgV0 https://t.co/QVg3Mver9Q
- 5 Reasons "Logistic Regression" should be the first thing you learn when becoming a #DataScientist https://t.co/lobXcyIzpj #MachineLearning https://t.co/ewVacwt4ci
