KDnuggets™ News 21:n10, Mar 10: More Resources for Women in AI, Data Science, and Machine Learning; Speeding up Scikit-Learn Model Training

• 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

• 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

• 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

• 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, Mar 1-7: Top YouTube Channels for Data Science

• 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

From More Resources for Women in AI, Data Science, and Machine Learning