Python Machine Learning: Practical Guide for Beginners

ISBN-10: 1985670968
ISBN-13: 9781985670969
Series: Python Machine Learning
Pages: 136
Language: English
Published: 2017-02-17
Publisher: Createspace Independent Publishing Platform
Author: François Duval

Description

****Buy now (Will soon return to $35.99 + Special Offer Below) **** Free Kindle eBook for customers who purchase the print book Are you thinking of learning more about Machine Learning with Practical Examples using Python? Machine learning is a field of Artificial Intelligence that uses algorithms to learn from data and make predictions. This means that we can feed data into an algorithm, and use it to make predictions about what might happen in the future. If you are looking for a book to help you understand how the Machine learning works by using Python, then this is a good book for you. Several Visual Illustrations and Examples Instead of tough math formulas, this book contains several graphs and images which detail all algorithms and their applications in all area of the real life. Why this book is different? This book takes a different approach that is based on providing simple examples of how machine learning algorithms work, and building on those examples step by step to encompass the more complicated parts of the algorithms. The book is a practical guide through the basic principles of machine learning, and how to get started with machine learning using Python based on libraries that make it easy to start. Python Codes for the Examples Shown In the Book You will build your machine learning model by using Python Target Users The book designed for a variety of target audiences. The most suitable users would include: Beginners who want to approach machine learning practices, but are too afraid to start Newbies in computer science techniques and machine learning Professionals in data science and social sciences Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way Students and academicians, especially those focusing on machine learning and deep learning What's Inside this Book? Introduction to Machine Learning? Essential Libraries and their Installation Basic of Python Language in Machine Learning Data and Inconsistencies in Machine Learning A Roadmap for building Machine Learning Systems Data Cleaning and Preparation Application of Supervised Learning Techniques with Python Applications of unsupervised learning Techniques with python Training Machine Learning Algorithms Combining Different Models for ensemble learning Frequently Asked Questions Q: Is this book for me and do I need programming experience? A: If you want to smash machine learning problems with Python and TensorFlow, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you'll be OK. Q: Can I loan this book to friends? A: Yes. Under Amazon's Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days. Q: Does this book include everything I need to become a data science expert? A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master all aspects of machine learning. Q: Can I have a refund if this book is not fitted for me? A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. will also be happy to help you if you send us an email at [email protected].