Introduction to Machine Learning with Python: A Guide for Beginners in Data Science
by: Daniel Nedal – Peters Morgan
ISBN-10: 1724417509
ISBN-13: 9781724417503
Edition 版本: 1
Released: 2018-07-02
Pages: 232
This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions.
This book and the accompanying examples,you would be well suited to tackle problems which pique your interests using machine learning.
From AI Sciences Publisher
Our books may be the best one for beginners; it’s a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.
To get the most out of the concepts that would be covered,readers are advised to adopt a hands on approach which would lead to better mental representations.
Target Users
The book designed for a variety of target audiences. The most suitable users would include:
Anyone who is intrigued by how algorithms arrive at predictions but has no previous knowledge of the field.
Software developers and engineers with a strong programming background but seeking to break into the field of machine learning.
Seasoned professionals in the field of artificial intelligence and machine learning who desire a bird’s eye view of current techniques and approaches.
Introduction to Machine Learning with Python A Guide for Beginners in Data Science 9781724417503 c.pdf
Introduction to Machine Learning with Python A Guide for Beginners in Data Science 9781724417503.epub
