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Machine Learning From Scratch: Practical Guide With Python
The overall aim of this book is to give you an application of machine learning techniques with 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.
This 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 machine learning easy to get started with.
Instead of tough math formulas, this book contains several graphs and images, which detail all-important Machine learning concepts and their applications.
This book will help you explore exactly the most important machine learning techniques by using python and real data. It is a step-by-step book.
The book designed for a variety of target audiences. The most suitable users would
Is this book for me and do I need programming experience?
f you want to smash Data Science from scratch, 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.
Can I loan this book to friends?
Yes. Under Amazon’s Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.
Does this book include everything I need to become a data science expert?
Unfortunately, no. This book is designed for readers taking their first steps in data science and further learning will be required beyond this book to master all aspects of data science.
Can I have a refund if this book is not fitted for me?
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 customer_service@datasciences-book.com.
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.
This 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 machine learning easy to get started with.
Instead of tough math formulas, this book contains several graphs and images, which detail all-important Machine learning concepts and their applications.
This book will help you explore exactly the most important machine learning techniques by using python and real data. It is a step-by-step book.
The book designed for a variety of target audiences. The most suitable users would
Is this book for me and do I need programming experience?
f you want to smash Data Science from scratch, 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.
Can I loan this book to friends?
Yes. Under Amazon’s Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.
Does this book include everything I need to become a data science expert?
Unfortunately, no. This book is designed for readers taking their first steps in data science and further learning will be required beyond this book to master all aspects of data science.
Can I have a refund if this book is not fitted for me?
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 customer_service@datasciences-book.com.
122 pages, Kindle Edition
Published March 29, 2018
9 people want to read
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Displaying 1 of 1 review
February 2, 2025
great book
Very concise explanation for entry level ML developer. Great examples to apply concepts and algorithms. Code included to help starting up
Very concise explanation for entry level ML developer. Great examples to apply concepts and algorithms. Code included to help starting up
Displaying 1 of 1 review