10 Best Books To Learn Machine Learning For Beginners And Experts

Machines have become man’s best friend. It gives us the power to run tasks in an automated manner. That’s the reason people are writing some best books to learn machine learning for beginners and experts.

Machine learning applies to every field in the world. From agriculture to space to digital marketing, everything. You name it and there is a machine involved in the field.

Machines’ learning has also opened a new dimension of artificial intelligence. Though we still have a long way to go in this area, soon, it’ll become a reality.

Now, if you’re interested in Machine Learning. We have got 10 best books to learn machine learning for beginners and experts.

 

You may also like 10 Best Book To Learn Python For Beginners And Experts 

 

1. The Hundred Page Machine Learning Book

Machine learning is a vast field. We can’t cover everything in a hundred-page book. But the author of the book AndriyBurkov simplifies the learning in the book by covering the most important topic of machine learning.

The book is written in such a comprehension manner that anybody can learn machine learning by reading the book.

After reading the book you’ll be able to build a complex AI system, you’ll learn the anatomy of machine algorithms and neural networks.

If you take action as you read the book you can even start your own ML based business.

 

2. Understanding Machine Learning

Understanding machine learning is another best book to learn machine learning for beginners and experts. It doesn’t matter if you’re a computer science student, engineer, or mathematician, this book will help you understand machine learning.

This book is easy in format, and the vocabulary is easy to understand. The book gives you a brief introduction to machine learning and the fundamental theories and algorithmic paradigms of machine learning.

Other topics this book covers are neural networks, ML algorithms, structured output learning, convexity, and stability.

 

3. Programming Collective Intelligence: Building Smart Web 2.0 Applications

Programming collective intelligence is a book that uses Python to deliver knowledge of machine learning. This book has been debuted as one of the best books to learn machine learning for beginners and experts.

In this book you’ll learn more about implementing ML than an introduction to machine learning.

The topics covered in the book are creating ML algorithms, collaborative filtering techniques, Bayesian filtering, search engine algorithms, non-negative matrix factorization, evolving intelligence for problem-solving, etc.

 

4. Bayesian Reasoning and Machine Learning

Do you want to be a computer scientist? If yes, this book is a must-have book. It doesn’t matter if you have calculus and linear algebra background or not. With this book, you can learn machine learning.

This book gives you well-explained examples and many steps by step guide to implementing ML. You don’t need a degree to learn machine learning. With the help of this book, you can become a self-made computer scientist.

Some important topics covered in this book are learning probabilistic models, the framework of graphical models, dynamic models, approximate interference, and naïve Bayes algorithms.

 

5. Machine Learning For Hackers: Case Studies and Algorithms to get you started

This is another book suitable for both beginners and experts and is known to be the best books to learn machine learning for beginners and experts.

The word hacker is intimidating to lots of people because people think hackers are people who gain unauthorized access to computer data. But that’s not true. Hackers are adroit mathematicians. Not all hackers are involved in illegal activity.

If you are looking for data analysis in R, this book is for you. The book gives you complete detail on using advanced R in data wrangling.

In this book, you’ll learn how to develop a naïve Bayesian classifier, linear regression, optimization techniques, and using R for querying data.

 

6. Pattern Recognition and Machine Learning

If you’re looking to use a statistical technique in machine learning and pattern recognition, you definitely should buy this book. This book is the best book to learn machine learning for beginners and experts in a statistical technique.

To use this book, you must understand linear algebra and multivariate calculus. This book teaches you statistical pattern recognition techniques, approximate inference algorithms, new models based on kernels, introduction to probability theory, Bayesian methods, etc.

 

7. Machine Learning

This book gives you a complete overview of machine learning theorems. The best part about the book is it gives you case studies and examples to make the reading easier.

For those who’re looking forward to a machine learning career, this book will help you get your feet wet. The book gives you a comprehensive explanation of ML basics with lots of project-oriented homework assignments.

This book covers genetic algorithms, reinforcement learning, and the primary approach to machine learning, and its concept and techniques.

 

8. Learning from Data: A Short Course

Are you looking for a book that teaches machine learning in a brief span of time? If yes, this book is for you. This book gives you a good understanding of engineering mathematics.

You’ll find some of the most complex machine learning concepts written as simple as possible. And that’s what makes this book one of the best books to learn machine learning for beginners and experts.

The book gets directly to the point instead of beating around the bush. You’ll learn about the error and noise kernel methods, over-fitting, radial basis functions, regularization, support vector machines, and validation.

 

9. Machine Learning For Dummies

Machine learning for dummies is really written for dummies. If you have a little understanding of math and logic, you can read this book. And that’s what makes this book one of the best books to learn machine learning for beginners and experts.

This book makes machine learning so easy. The author writes it in plain and simple language. Though the book uses Python as an example code but really doesn’t need Python to read this book.

The book covers the history of machine learning and the difference between machine learning and AI.

 

10. Machine Learning: The New AI

This book is one of the newest books in the field of machine learning. Over the years, machine learning has evolved and new sets of algorithms are used.

For those who are looking into modern machine learning, this book will help you understand the modern concept of machine learning.

This book is up-to-date and mostly talks about the current tech industry. That is what makes this book the best book to learn machine learning for beginners and experts.

 

Conclusion

We have listed 10 best books to learn machine learning for beginners and experts. These books will not only help you understand the concept of machine learning, but you also get examples to try in real life.

You can join an institute or take machine learning classes, but reading one or more books will increase your level of understanding. It will make you a machine scientist sooner than you think.

Reading is not enough. Action is what boosts you toward becoming an expert.

admin
Leave a Reply

Generic selectors
Exact matches only
Search in title
Search in content
Search in posts
Search in pages