) KDnuggets™ News 21:n10, Mar 10: More Resources for Women in AI, Data Science, and Machine Learning; Speeding up Scikit-Learn Model Training
Tags: AI, Dask, Data Engineer, Data Science, Machine Learning, Modeling, Pandas, scikit-learn, Training, Women
More Resources for Women in AI, Data Science, and Machine Learning; Speeding up Scikit-Learn Model Training; Dask and Pandas: No Such Thing as Too Much Data; 9 Skills You Need to Become a Data Engineer; 8 Women in AI Who Are Striving to Humanize the World
This week on KDnuggets: More Resources for Women in AI, Data Science, and Machine Learning; Speeding up Scikit-Learn Model Training; Dask and Pandas: No Such Thing as Too Much Data; 9 Skills You Need to Become a Data Engineer; 8 Women in AI Who Are Striving to Humanize the World; and much, much more.
Features
- More Resources for Women in AI, Data Science, and Machine Learning, by Gregory Piatetsky
- Speeding up Scikit-Learn Model Training, by Michael Galarnyk
- Dask and Pandas: No Such Thing as Too Much Data, by Stephanie Kirmer
- 9 Skills You Need to Become a Data Engineer, by Dorian Martin
- 8 Women in AI Who Are Striving to Humanize the World, by Liudmyla Taranenko
Products, Services
- A Solid Investment: Banking on Talent Development., by SAS
- Start a career in Computer Science with Penn’s Master in Computer Science and Information Technology, by Coursera
Tutorials, Overviews
- Understanding NoSQL Document Databases, by Alex Williams
- Beautiful decision tree visualizations with dtreeviz, by Eryk Lewinson
- 11 Essential Code Blocks for Complete EDA (Exploratory Data Analysis), by Susan Maina
- Bayesian Hyperparameter Optimization with tune-sklearn in PyCaret, by Antoni Baum
- Reducing the High Cost of Training NLP Models With SRU++, by Tao Lei, PhD
- Evaluating Object Detection Models Using Mean Average Precision, by Ahmed Gad
- 15 common mistakes data scientists make in Python (and how to fix them), by Gerold Csendes
- Getting Started with Distributed Machine Learning with PyTorch and Ray, by Galarnyk, Liaw & Nishihara
Opinions
- 4 Machine Learning Concepts I Wish I Knew When I Built My First Model, by Terence Shin
- Is It Too Late to Learn AI?, by Frederik Bussler
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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From More Resources for Women in AI, Data Science, and Machine Learning
