An accessible guide to machine learning principles for programmers. Features hands-on example projects, real-world case studies, and easy-to-understand explanations.Practical Machine Learning is a cle
This book is a collection of interdisciplinary paradigms related to two important research fields, biomedical signal processing, especially related to EEG signal processing and machine learning/soft c
This book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in
"This book presents some new ideas about estimation and evaluation of the quality of software and using a standard conversion method so that lines of code from any language may be compared and be used
Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational
Are You Interested In Learning Python? Would You Like To Know The Secrets To Programing? Want To Master The Basics Of Python Programming? Yes, this is the perfect book for you to get started with thi
