Probability for Machine Learning
| Author | : Jason Brownlee |
| Publisher | : Machine Learning Mastery |
| Total Pages | : 319 |
| Release | : 2019-09-24 |
| ISBN-10 | : |
| ISBN-13 | : |
| Rating | : 4/5 ( Downloads) |
Book Synopsis Probability for Machine Learning by : Jason Brownlee
Download or read book Probability for Machine Learning written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2019-09-24 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equations, Greek letters, and confusion, and discover the topics in probability that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of probability to machine learning, Bayesian probability, entropy, density estimation, maximum likelihood, and much more.
