KDnuggets™ News 21:n33, Sep 1: Top Industries Hiring Data Scientists; The Most Important Tool for Data Engineers
The top industries hiring Data Scientists; The most important tool for data engineers (hint - it is not technical); How to Engineer Date Features in Python; 15 Python Snippets to Optimize your Data Science Pipeline
Features | Products | Tutorials | Opinions | Tops | Jobs | Submit a blog | Image of the week
Features
Products, Services
Tutorials, Overviews
Opinions
Top Stories, Tweets
Jobs
Image of the week
In this issue: The top industries hiring Data Scientists; The most important tool for data engineers (hint - it is not technical); How to Engineer Date Features in Python; 15 Python Snippets to Optimize your Data Science Pipeline; and more
KDnuggets Top Blogs Reward Program will pay to the authors of top blogs each month. Reposts accepted, but original submissions get 3x the rate of reposts. Check our guidelines and submit your blog soon!
KDnuggets Top Blogs Reward Program will pay to the authors of top blogs each month. Reposts accepted, but original submissions get 3x the rate of reposts. Check our guidelines and submit your blog soon!
Features
- The Top Industries Hiring Data Scientists in 2021, by Devin Partida
- The Most Important Tool for Data Engineers, by Leo Godin
- How to Engineer Date Features in Python, by Matthew Mayo
- 15 Python Snippets to Optimize your Data Science Pipeline, by Lucas Soares
- 11 Best Data Science Education Platforms, by Zulie Rane
Products, Services
- NLP Insights for the Penguin Café Orchestra, by Expert.ai
- Beacon North America,
the latest and greatest in data analytics, Sep 14-15, by Google - Automated Data Labeling with Machine Learning, by Watchful
- Florida Hacks with IBM, by BeMyApp
Tutorials, Overviews
- CSV Files for Storage? No Thanks. There's a Better Option, by Dario Radečić
- Multilabel Document Categorization, step by step example, by Saurabh Sharma
- A Python Data Processing Script Template, by Matthew Mayo
- Introducing Packed BERT for 2x Training Speed-up in Natural Language Processing, by Krell & Kosec
- Data Science Project Infrastructure: How To Create It, by Nate Rosidi
- 3 Data Acquisition, Annotation, and Augmentation Tools, by Matthew Mayo
Opinions
- How causal inference lifts augmented analytics beyond flatland, by Michael Klaput
- The Significance of Data-centric AI, by Vidhi Chugh
- Coding Ethics for AI & AIOps: Designing Responsible AI Systems, by Manisha Singh
- What is Noise?, by Vasant Dhar
Top Stories, Tweets
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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The Most Important Tool for Data Engineers
The Most Important Tool for Data Engineers
