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Are you a newbie in AI programming and searching for some books to learn AI and machine Learning? Don’t worry, there are large numbers of best books for artificial intelligence and machine learning for beginners are available to dive into the world of AI programming.
AI is all around us and changing our life very rapidly. It is a very vast field and also producing many hot jobs in today’s job markets and this will boom in near future too. That’s why many people are deciding to build a bright career in AI.
Although there are huge career options in the AI field, but to get a AI job you should have some AI skills. But you don’t need to worry because there are plenty of learning options through which you can excel your AI programming skills.
Books are always a great way to learn anything and this also applies in AI learning. There are a huge collection of best machine learning books as well as AI books available for every stage whether you are a beginner, an intermediate or an expert in AI.
But as you are a beginner that’s why i have listed here 7 best books for artificial intelligence and machine learning for beginners.
These books will help you to learn AI and ML in a very easy way. And I am pretty sure, if you pick any book of this list you can excel your AI programming skills.
7 Best Books For Artificial Intelligence And Machine Learning For Beginners
Here i am not promoting any particular book but only helping you to get some books which helps you to learn AI and Ml. The numbering of these books are not based on their ranking or ordering, i have just done it for convenience.
1. Machine Learning For Absolute Beginners – A Plain English Introduction(2nd Edition)
Author – Oliver Theobald
You are a person who doesn’t know anything about machine learning, even a general introduction to ML?
So this book is best for you to start learning ML. This book is written for absolute beginners who have no prior knowledge of coding or programming.
You can learn ML in a very simplified way by following this book. If you have not any idea of ML then you can choose this book because it falls in the best machine learning books for beginners category.
This book not only gives you a general idea of ML but also explains specific algorithms applied in ML. This book also covers the career options in ML field and in my opinion this is the best part of this book
If you want to know about which topics this book covers then following are the topics which are dealt in this book.
- A general introduction of ML such as what is ML, types of ML, its applications etc.
- ML toolbox
- Regression Analysis
- Association Analysis
- Decision Trees
- Data Reduction and Principle Component Analysis
- Artificial Neural Networks
- Building ML models
- Data Clustering
2. Machine Learning For Dummies
Author – John Paul Mueller and Luca Massaron
This book is also very good for absolute beginners. It covers fundamental topics and makes you familiar with basic concepts of machine learning. This book also explains how the ML applies in the real world.
Author also included examples which help you to learn the concepts of ML in an easy way. This also introduces little coding in python and R to teach machines to perform data analysis and pattern-oriented tasks.
This book quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. By following this book, understanding and implementing machine learning concepts will be easier for you.
Want to know more Best Books For Artificial Intelligence And Machine Learning For Beginners? Keep Reading!!!
3. The Hundred Page Machine Learning Book(1299)
Author – Andriy Burkov
This book is worth reading for those beginners who want to know the mathematics behind the machine learning algorithms. Many industry leaders like this book and recommend it too. Other people also highly recommend this book for both starters and professionals.
This book covers lots of depth topics in a very concise and readable manner. You can read this book just in a week and can learn almost everything about ML.
This book covers the following topics in just a hundred pages –
- Cluster Analysis and dimensionality Reduction
- Autoencoders and Transfer Learning
- Illustration Supervised and Unsupervised Learning
- Support Vector Machines
- Neural Network and Gradient Descent
- Feature Engineering and Hyper parameter Tuning
So if you are a software engineer or a scientist and want to be a ML engineer then this book is best for you because its author has very rich experience on AI.
4. Life 3.0 : Being Human In The Age Of Artificial Intelligence
Author – Max Tegmark
If you want to dive deeper into the field of AI then surely you should read this book. This book covers all the future aspects of AI like super intelligence, machine consciousness and physical limits of AI.
This is an international bestseller book and also endorsed by Stephen Hawkins.
The Times has given a statement for this book :
“This is a rich and visionary book and everyone should read it.”
Are you getting this Best Books For Artificial Intelligence And Machine Learning For Beginners article helpful?
5. The Singularity Is Near
Author – Ray Kurzweil
This is one of the best AI books that explains the singularity that means union of human and machine. Its author Ray Kurzweil is one of the world’s leading inventors, futurists and thinkers explains very deeply about singularity.
Bill gates highly appreciated this book and his statement is :
“Ray Kurzweil is the best person I know at predicting the future of artificial intelligence. His intriguing new book envisions a future in which information technologies have advanced so far and fast that they enable humanity to transcend its biological limitations—transforming our lives in ways we can’t yet imagine.”
The author says in this book that in the era of singularity machine intelligence will be more powerful than all human intelligence combined. This book specifically defines the relationship between human mind and machine.
6. Machine Learning : The New AI
Author – Ethem Alpaydin
This book is a best machine learning book for absolute beginners and non-computer science backgrounds. This book gives a brief overview of machine learning such as the introduction of ML and its evolution, learning algorithm of ML, and presenting example applications.
The applications of ML such as the use of machine learning algorithms for pattern recognition, customer segmentation and learning recommendations, artificial neural networks inspired by the human brain, and reinforcement learning etc are described very well in this book.
The author also describes applications of AI in our day-to-day life including face and voice recognition, product recommendation and driverless cars.
The ethical and legal implications for data privacy and security are also discussed in this book.
7. Understanding Machine Learning: From Theory to Algorithm
It is a great book to learn machine learning in the beginner stage. It covers all the fundamental topics of ML as well as practical algorithms. You can easily understand the essentials of ML by following this book.
If you want to learn how the machine learning models work then you can start with this book. This book is generally designed for advanced undergraduate or beginning graduates.
The best thing about this book is that it applies the theories to understand the well known ML algorithms.
So i am wrapping up 7 Best Books For Artificial Intelligence And Machine Learning For Beginners post here. Now if you have any query regarding this post feel free to drop your query on comment section.