Features

• The Difference Between Data Scientists and ML Engineers, by Kurtis Pykes
• MLOps and Machine Learning Roadmap, by Ben Rogojan
• How to Train a BERT Model From Scratch, by James Briggs
• Introduction to Statistical Learning Second Edition, by Matthew Mayo
• Prefect: How to Write and Schedule Your First ETL Pipeline with Python, by Dario Radečić

 Products, Services

• Leaders at Allstate, eBay & Red Bull Agree: Don’t Miss the Rev 3 Enterprise MLOps Summit, by Domino
• 2021 State of Production Machine Learning Survey, by Anyscale

 Tutorials, Overviews

• Linear Algebra for Natural Language Processing, by Taaniya Arora
• Model Drift in Machine Learning – How To Handle It In Big Data, by Sai Geetha
• Agile Data Labeling: What it is and why you need it, by Jennifer Prendki
• Writing Your First Distributed Python Application with Ray, by Michael Galarnyk
• Querying the Most Granular Demographics Dataset, by Matti Grotheer
• How to Detect and Overcome Model Drift in MLOps, by Bhaskar Ammu
• DeepMind’s New Super Model: Perceiver IO is a Transformer that can Handle Any Dataset, by Jesus Roriguez

 Opinions

• What I Learned From “Women in Data Science” Conferences, by Vidhi Chugh
• 3 mindset changes to become a better analyst, by Bobby Pinero
• For SQL, or why I’m so over-protective of my data people, by Pedram Navid

 Top Stories, Tweets

• Top July Stories: Data Scientists and ML Engineers Are Luxury Employees, by Gregory Piatetsky
• Top Stories, Aug 9-15: The Difference Between Data Scientists and ML Engineers, by KDnuggets
• KDnuggets Top Blogs Rewards for July 2021, by Gregory Piatetsky

 
 Jobs

• See our recent jobs in AI, Analytics, Data Science, Machine Learning
• You can post a free short entry on KDnuggets jobs page for an industry or academic job related to AI, Big Data, Data Science, or Machine Learning, email – see details at kdnuggets.com/jobs

  Image of the week

The Difference Between Data Scientists and ML Engineers