KDnuggets™ News 21:n20, May 26: Data Engineer, Data Scientists & Other Data Careers, Explained; Where Did You Apply Analytics & Data Science Recently?
Data Scientist, Data Engineer & Other Data Careers, Explained; A Guide On How To Become A Data Scientist (Step By Step Approach); A checklist to track your Data Science progress; How to Determine if Your Machine Learning Model is Overtrained; Differentiable Programming from Scratch
This week, take part in our survey and let us know where you recently applied Data Science, Analytics and Machine Learning. Also: Data Scientist, Data Engineer & Other Data Careers, Explained; A Guide On How To Become A Data Scientist (Step By Step Approach); A checklist to track your Data Science progress; How to Determine if Your Machine Learning Model is Overtrained; Differentiable Programming from Scratch; and much, much more.
Our new KDnuggets Top Blogs Reward Program will pay to the authors of top blogs - check details here. Reposts accepted, but we love original submissions, rewarded at 3 times the rate of reposts.
Our new KDnuggets Top Blogs Reward Program will pay to the authors of top blogs - check details here. Reposts accepted, but we love original submissions, rewarded at 3 times the rate of reposts.
Features
Data Scientist, Data Engineer & Other Data Careers, Explained, by Matthew Mayo
- Where Did You Apply Analytics, Data Science, Machine Learning in 2020/2021?, by Matthew Mayo
- A Guide On How To Become A Data Scientist (Step By Step Approach), by Aditya Agarwal
- A checklist to track your Data Science progress, by Pascal Janetzky
- How to Determine if Your Machine Learning Model is Overtrained, by Charles Martin
- Differentiable Programming from Scratch, by Guillaume Saupin
Data Scientist, Data Engineer & Other Data Careers, Explained
How to Determine if Your Machine Learning Model is OvertrainedProducts, Services
- DataOps Summit 2021 CFP Is Now Open!, by DataOps Summit
- The Rise of Vector Data, by Pinecone
Tutorials, Overviews
- Awesome list of datasets in 100+ categories, by Etienne D. Noumen
- How to pitch to VCs, explained: The Deck We Used to Raise Capital For Our Open-Source ELT Platform, by John Lafleur
- How to Deal with Categorical Data for Machine Learning, by Shelvi Garg
- Building RESTful APIs using Flask, by Mahadev Easwar
- DataOps: 5 things that you need to know, by Sigmoid
- Data Validation in Machine Learning is Imperative, Not Optional, by Aggarwal & Bose
- Write and train your own custom machine learning models using PyCaret, by Moez Ali
Opinions
- 6 Business Trends Benefiting Data Scientists, by Devin Partida
- These Soft Skills Can Make or Break Your Data Science Career, by Stefan Maraj
Top Stories
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
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