If you’re someone who loves their gadgets as much as they love a good read, E-books will enhance your reading experience. Among the many topics that catch your eye, we can place our best on these top 7. Here’s a curated list of highly recommended e-books on Artificial Intelligence, Machine Learning, Data Science, and Python. Whether you’re an advanced Data Scientist looking to add new collections to your library or a newbie just trying to figure it all out in an intelligent world, these books are always a great help for any future endeavours.
So if there’s nothing else left to do, get reading!
Superintelligence by Nick Bostrom
A comprehensive and up-to-date introduction to the theory and practice of Artificial Intelligence, Superintelligence, assesses the capabilities of the human brain. Gnawing on the dominant position our species possess, could superintelligence grow beyond human control? We, as humans, get to make the first move and engineer initial conditions. Will our actions achieve a more controlled detonation, or will the future of humanity survive the actions of superintelligent machines?
If you’d like to give your brain a tease, check this book out by Oxford Professor Nick Bostrom and stay in sync with the latest technology trends.
Make Your Own Neural Network by Tariq Rashid
Tariq Rashid’s book is a slow journey that unfurls through the mathematics of neural networks and your very own Python language. An element of deep learning and artificial intelligence, neural networks work on simple ideas and gradually build up an understanding around the subject. A practical way to grow within the field this; educational read triggers the mysterious mind to work in ways you never thought was possible.
Machine Learning: The Definitive Guide By Oliver Tensor
Fairly new publishing, the definitive guide provides a bird’s eye view of the importance and the fundamentals of Machine Learning and Artificial Intelligence Technology. Understand different ML Algorithms, how and why machines train themselves to perform better to be a part of our everyday lives.
Artificial Intelligence and Machine Learning for Business by Scott Chesterton
If you aspire to run a business, are running one but lack the clarity to implement AI and ML to it, you must read this book by Scott Chesterton. It unveils the endless opportunities that can be accomplished through tips and techniques in your business. The book covers topics like the basics of AIML, business challenges you face and how to overcome them, etc.
Interpretable Machine Learning By Christoph Molnar
The book focuses on interpretation methods that are both explained in detail and critically analysed. Its strengths and weaknesses, how to interpret outputs and likes. It enables a reader to select and appropriately apply the interpretation method that is most suitable for their machine learning project. It is a must-read for machine learning practitioners, data scientists, and anyone else with a keen interest in the field.
Python for Probability, Statistics and Machine Learning By Jose Unpingco
Understand the nuances of Python codes with the help of analytical methods and descriptive examples. To read and understand this book, you will need to be well versed with a basic introduction to Python programming. Here dots related to mathematical topics such as convergence in probability theory will be explained with numerical examples and covered in depth.
HBR’s 10 Must Reads on AI, Analytics, and the New Machine Age By Micheal E. Porter, Thomas H. Davenport, Paul Daugherty, H. James Wilson
This book is a compilation of hundreds of Harvard Business Review articles that have been selected and curated for readers. Some of the most important and revered pieces talk about AI consent and how to adopt them in the new age. Through this book, you will not only learn about data science, artificial intelligence, and machine learning in detail but also enjoy insights into blockchain technology and Augmented reality.
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