Top 25 Machine Learning Books For Beginners
Sep 24, 2024 5 Min Read 2068 Views
(Last Updated)
Find the top 22 Machine Learning Books for beginners and advanced Machine Learning Professionals here!
You get a free hour and decide to watch a movie. After a long search of half an hour, you end up switching off the TV and losing interest altogether! Does that happen to you? But not anymore! Because Netflix these days recommends the top movies and web series that are trending around you. Thanks to Machine Learning!
So, which web series is on your hit list today? Of course, you need not bookmark(as you would need to do this page) or save any titles again as they naturally come up on your recently watched list!
It is the tiniest wonder that Machine Learning facilitates. We have uncountable little wonder packs of Machine Learning, making lives easier. Whether in Virtual Assistants, self-driving cars, or Business intelligence, Machine Learning is hugely benefiting humankind.
Undoubtedly, the industry is looking for skilled Machine Learners who can add to their database of intellectual folks.
Indeed, the American worldwide employment website marked Machine Learning Engineers as one of the top jobs in the United States with regards to salary, growth of postings, and demand.
So, how are you planning to make your great beginning in the Machine Learning World?
Books are the smartest option to turn to. Here are the top 22 Machine learning books for beginners that will guide you in and out of Machine Learning and related fields.
Let’s dig deep and find out the details of the top 5 Machine Learning books for beginners in this list:
But before we get started with that, here are some of our personal research resources for you: Check it out!
Get started with Machine Learning Algorithms
How to set up a Python environment for Machine Learning
Essential prerequisites for Machine Learning
Make sure you understand machine learning fundamentals like Python, SQL, deep learning, data cleaning, and cloud services before we explore them in the next section. You should consider joining GUVI’s Machine Learning Course, which covers tools like Pyspark API, Natural Language Processing, and many more and helps you get hands-on experience by building real-time projects.
Also, if you want to explore more about Artificial Intelligence and Machine Learning altogether through a Self-paced AI bundle course, try GUVI’s Artificial Intelligence and Machine Learning courses.
Table of contents
- Machine Learning For Absolute Beginners
- About the Book:
- Topics covered:
- The Hundred-Page Machine Learning Book
- About the Book:
- Topics covered:
- Machine Learning for Dummies
- About the book:
- Topics covered:
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Author:
- About the book:
- Includes Topics:
- Learning from Data: A Short Course
- Author:
- About the book:
- Topics Covered:
- Conclusion
1. Machine Learning For Absolute Beginners
A Plain English Introduction (Third Edition): 1 (Machine Learning with Python for Beginners)
Author: Oliver Theobald
About the Book:
A Newbie to Machine Learning? This book can be your best hideout. You can kickstart your Machine Learning journey here with no coding or mathematical background.
Machine Learning concepts are very well defined and made sense in layman’s words with clear explanations, visual examples & various ML algorithms.
This book is designed for readers taking their first steps in machine learning. However, further learning will be required beyond this book to master machine learning.
Topics covered:
– Artificial Intelligence
– Big Data
– Downloading Free Datasets
– Regression
– Support Vector Machine Algorithms
– Deep Learning/Neural Networks
– Data Reduction
– Clustering
– Association Analysis
– Decision Trees
– Recommenders
– Machine Learning Careers
Are you looking for a great Machine Learning Course? Then your search ends here: Get more ideas on Machine Learning books for beginners here:
2. The Hundred-Page Machine Learning Book
Author: Andriy Burkov
About the Book:
To the point and short & sweet, this book can be read in a week! In this book learn everything that modern Machine Learning has to offer! The Hundred-Page Machine Learning Book appears to be a summary of decades years of experience of the authors of this book.
The best part of this book is the Companion Wiki, which continuously updates & flares some book chapters with auxiliary information: Q&A, code snippets, further reading, tools, and other relevant resources.
Topics covered:
- Anatomy of a learning algorithm
- Fundamental algorithms
- Neural networks and deep learning
- Other forms of learning
- Supervised learning and unsupervised learning
After reading the top Machine learning books for beginners you may check this: Top 5 Luxury Jobs in Machine Learning
3. Machine Learning for Dummies
Authors: John Paul Mueller and Luca Massaron
About the book:
Do you wish you could get familiar with the basic concepts and theories of Machine Learning? Then you would find no better book than Machine Learning for Dummies. The topics covered in the book go with the name of the book.
Additionally, the book focuses on the practical, real-world applications of machine learning. The book mentions how to train machines to find patterns and analyze results using Python and R code with an augmented advantage of illustrations on how ML facilitates email filters, fraud detection, internet ads, web searches, etc.
Topics covered:
- Data preparation
- Machine learning techniques
- Supervised and unsupervised learning
- The machine learning cycle
- Training machine learning systems
- Tying machine learning methods to outcomes
Next on the list, 4th of the top Machine learning books for beginners:
4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Author:
Trevor Hastie, Robert Tibshirani, and Jerome Friedman
About the book:
Though a rigorous and mathematically dense book, The Elements of Statistical Learning: Data Mining, Inference, and Prediction has a special emphasis on concepts rather than mathematics. With the liberal use of color graphics, the book gives tons of examples to highlight the concepts.
All three authors of the book are well-known Statistics Professors at Stanford University. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title.
In addition to having invented principal curves and surfaces, Author Hastie also wrote much of the statistical modeling software in S-PLUS. Author Tibshirani, on the other hand, proposed the Lasso and is co-author of the very successful book: An Introduction to the Bootstrap. Author Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.
Little wonder then that this book appears in the top 5 of our top Machine Learning books recommended for good learning.
Includes Topics:
- Ensemble learning
- High-dimensional problems
- Linear methods for classification and regression
- Model inference and averaging
- Neural networks
- Random forests
- Supervised and unsupervised learning
5. Learning from Data: A Short Course
Author:
Yaser Abu Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin
About the book:
Included in our list of top 5 Machine learning books for beginners, Learning from Data: A Short Course book is a short and crisp explanation of Machine Learning concepts. This book can be a perfect choice for anyone who wants to get a comprehensive introduction to machine learning in less time.
It is a short course, not a hurried course. Comprehend the complex machine learning concepts with the easy explanations in this book.
Topics Covered:
- Error and Noise
- Kernel methods
- Overfitting
- Radial basis functions
- Regularization
- Support vector machines
- Validation
Kickstart your Machine Learning journey by enrolling in GUVI’s Machine Learning Course where you will master technologies like matplotlib, pandas, SQL, NLP, and deep learning, and build interesting real-life UI/UX projects.
Also, if you want to explore more about Artificial Intelligence and Machine Learning altogether through a Self-paced AI bundle course, try GUVI’s Artificial Intelligence and Machine Learning Courses.
Conclusion
Yes, let’s call it a wrap for now. The discussion on books especially on Top Machine Learning Book is never-ending. There are uncountable books coming up every year. So, we will keep updating the list here. For now, these are the books you can refer to.
eanwhile, you master Machine Learning from the various Machine Learning Books for Beginners that we suggested, here’s a course in Data Science that you can take up or recommend to anyone who is interested.
Post your suggestions and queries about the top Machine Learning books for beginners in the comment section below.
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