Tag - Matthew Mayo

10 Free Must-Read Books for Machine Learning and Data Science

Spring. Rejuvenation. Rebirth. Everything’s blooming. And, of course, people want free ebooks. With that in mind, here's a list of 10 free machine learning and data science titles to get your spring reading started right. By Matthew Mayo, KDnuggets....

277 Data Science Key Terms, Explained

This is a collection of 277 data science key terms, explained with a no-nonsense, concise approach. Read on to find terminology related to Big Data, machine learning, natural language processing, descriptive statistics, and much more. By Matthew Mayo...

30 Free Resources for Machine Learning, Deep Learning, NLP & AI

Check out this collection of 30 ML, DL, NLP & AI resources for beginners, starting from zero and slowly progressing to the point that readers should have an idea of where to go next. By Matthew Mayo, KDnuggets. comments This is a collection of free r...

4 Cognitive Bias Key Points Data Scientists Need to Know

Cognitive biases are inherently problematic in a variety of fields, including data science. Is this something that can be mitigated? A solid understanding of cognitive biases is the best weapon, which this overview hopes to help provide. By Matthew M...

42 Steps to Mastering Data Science

This post is a collection of 6 separate posts of 7 steps a piece, each for mastering and better understanding a particular data science topic, with topics ranging from data preparation, to machine learning, to SQL databases, to NoSQL and beyond. By M...

5 Career Paths in Big Data and Data Science, Explained

Sexiest job... massive shortage... blah blah blah. Are you looking to get a real handle on the career paths available in "Data Science" and "Big Data?" Read this article for insight on where to look to sharpen the required entry-level skills. By Matt...

5 Fantastic Practical Machine Learning Resources

This post presents 5 fantastic practical machine learning resources, covering machine learning right from basics, as well as coding algorithms from scratch and using particular deep learning frameworks. By Matthew Mayo, KDnuggets. comments Interested...