) KDnuggets™ News 19:n02, Jan 9: The cold start problem: how to build your machine learning portfolio; 5 Best Data Visualization Libraries
Learn how to bootstrap your Machine Learning portfolio, which data visualization libraries to use, main approaches to ensemble learning, how to do text summarization, and check our special offers for leading analytics, AI, and Data Science events below.
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Learn how to bootstrap your Machine Learning portfolio, which data visualization libraries to use, main approaches to Ensemble learning, how to do text summarization, and check our special offers for leading analytics, AI, and Data Science events below.
Features
The cold start problem: how to build your machine learning portfolio
- The Five Best Data Visualization Libraries
- Math for Machine Learning
- Ensemble Learning: 5 Main Approaches
- Approaches to Text Summarization: An Overview
Tutorials, Overviews
- NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing
- Comparison of the Text Distance Metrics
- What to do when your training and testing data come from different distributions
Opinions
Top Stories, Tweets
News
Courses, Education
Meetings
- The Data Science Event You Need in 2019
- Rev Summit for Data Science Leaders featuring Daniel Kahneman
- Strata Data SF 2019 KDnuggets Offer
- Improve your AI and Machine Learning skills at AI NEXTCon in Seattle, Jan 23-27
Academic
- NYU Stern Fubon Center for Technology, Business and Innovation: Fubon Center Faculty Fellow [New York, NY]
- Southern Illinois University Edwardsville: Director of the Center for Predictive Analytics/(Associate) Professor of Mathematics and Statistics [Edwardsville, IL]
- Maryville University: Business Intelligence Analyst [St. Louis, MO]
Image of the week
The cold start problem: how to build your machine learning portfolio
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