Machine Learning Essentials for Everybody

by Daniel Vance, AI Sciences Publishing (Editor)

Overview

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Are you thinking of mastering machine learning fundamentals?

If you are looking for a beginner book to master machine learning fundamentals, this book is for you.
The book presents a theoretical overview of the underlying principles on which the entire machine learning stack is based. This includes sections about statistics, probability and machine learning.
Regardless of the level of expertise of the reader, be it a beginner or a seasoned professional, there is lots of distilled knowledge available in these pages, which would give the reader a new perspective on what machine learning is all about.

From AI Sciences Publishing

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. Readers are advised to adopt a hands on approach, which would lead to better mental representations.

Who Should Read This?

This book presents the foundational principles guiding machine learning field. It also present many examples and illustrations. The following groups of people would benefit maximally from from this book:

• The reader who has heard about the impact data science is set to make across industries but isn't quite sure what skills are required to get a footing in the field. This set of readers can expect to profit from the clear explanations of basic concepts and build intuitions that enable them to transition on to more complex topics.
• The practitioner who has intermediate level skills in the related fields of statistics, mathematics, and computer science but wants to understand in what ways machine learning is a different discipline. This type of reader would understand the concepts presented in this book quickly as machine learning is an interdisciplinary field that sits at the intersection between many well established scientific fields.
• The practicing data scientist or experienced veteran would appreciate this book for providing a refresher on many common concepts and a whirlwind tour of what is currently obtainable in terms of best practices. The breadth of this book is such that this reader would have a reference manual of sorts for how to master main machine learning techniques.

What's Inside This Book?

• Artificial intelligence, Machine learning and their applications
• Laying the Foundation
• What is Machine Learning?
• Why Machine Learning?
• The Math behind Machine Learning for Beginners: Linear Algebra and Statistics
• Probability, conditional Probability and Distributions
• Link between Statistics and machine learning
• Supervised Learning
• Unsupervised Learning
• Semi-supervised Learning
• Reinforcement Learning
• Summarizing the Dataset
• Data Visualization
• Linear Regression
• Logistic Regression
• Decision Tree and Forest Algorithm
• SVM (Support Vector Machines)
• Naïve Bayes Algorithm
• Clustering
• KNN (K-Nearest Neighbors)
• Neural Networks for beginner

Frequently Asked Questions

Q: Does this book include everything I need to become a machine learning 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.

Q: Can I have a refund if this book doesn't fit for me?
A: Yes, Amazon refund you if you aren't satisfied, for more information about the B&N refund service please go to the B&N help platform.

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Product Details

BN ID:	2940161229408
Publisher:	AI SCIENCES LLC
Publication date:	02/10/2019
Sold by:	Barnes & Noble
Format:	eBook
File size:	3 MB

About the Author

We are a group of experts, PhD students and young practitioners of Artificial Intelligence, Computer Science, Machine Learning and Statistics. Some of us work in big companies like Google, Facebook, Microsoft, KPMG, BCG and Mazars.
We decided to produce a series of books mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence and Data Science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish more complete books on sometopics for a wider audience.

About our Books

Our books have had phenomenal success and they are today among the best sellers on Amazon. Our books have helped many people to progress and especially to understand these techniques, which are sometimes considered to be complicated rightly or wrongly.
The books we produce are short, very pleasant to read. These books focus on the essentials so that beginners can quickly understand and practice effectively. You will never regret having chosen one of our books.

We also offer you completely free books onour website: Visit our site and subscribe in our Email-List: www.aisciences.net.

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