Machine learning is one of the most innovative and potentially life changing technologies in the world of science today. It is the science of how machines can learn to make their own decisions and take actions themselves. This is the kind of technology which we will see increasingly in the future in our everyday lives. It is already used in a huge range of applications such as fraud protection and product recommendation on websites. The technology is also being used to develop the technology for products such as self-driving cars.
Here are some recommendations of great books to help you learn more about Machine Learning. Some are designed for the beginner, whilst others are for those looking for a more advanced examination of the subject.
Python Machine Learning by Sebastion Raschka
This is a bestselling book in the field of machine learning. It is a complex subject which requires a solid basis in coding before the student can move on to learning the more advanced elements. One of the excellent points about this book is that it gives a solid foundation in the coding concepts required for the subject.
It is well written and explains the subject to the reader in a very understandable format.
Fundamentals of Machine Learning for Predictive Data Analytics by John D. Kelleher
This is an excellent book which explains the basics of the concepts of the science of machine learning. It is a good book for someone beginning to learn this branch of science. However, if you don’t have a solid background in Python you may wish to read Python Machine Learning first before studying this book.
Data Analytics Made Accessible by Anil Maheshwari
This book is an ideal place to start if you want to start learning about the field of machine learning. The writing style is very accessible and is easy for the non-scientist to understand. Machine learning is an important concept to understand for people in many disciplines. Artificial intelligence is becoming a very important element of our world and it is of interest to people in many different occupations, including entrepreneurs and business people.
This book is not for you if you are looking for a highly technical explanation of the subject. It is designed for those who have an interest, but want more of an overview.
A great advantage about this book is that it is low cost, and may even be available free for subscribers to Kindle Unlimited.
Machine Learning: The Art and Science of Algorithms That Make Sense of Data By Peter Flach
This is a good book for someone looking to be taken from the basics to the more complex theory of machine learning. It is still an introductory text, but it has much more discussion of theory than the “Data Analytics Made Accessible” book which is at a more basic level.
Machine Learning for Dummies
The “For Dummies series is always a good place to start if you want to get a basic view of any subject, and this one is well written for the beginner. It gives readers a good start to see whether they want to explore the subject further.