Last year, I started writing about my experiences taking courses on machine learning and artificial intelligence. One of the big, unexpected problems I ran into was calculus and linear algebra. I've ...

As exhibited in the Table of Contents below, this book has excellent coverage for all important topic areas. I found Part I, Mathematical Foundations, a one-stop-shop for all the mathematical ...

Daniel D. Gutierrez, Editor-in-Chief & Resident Data Scientist, insideAI News, is a practicing data scientist who’s been working with data long before the field came in vogue. He is especially excited ...

How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of ...

Then to optimize over that linear model they’ll show you gradient descent, and again you’ll note, “Well, that’s just calculus!” Support vector machines? Merely convex optimization. Naive Bayes? Just ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of ...