5 November 2024, Tue |
7:35 AM
By Mohsina Salim
AI and Machine Learning have admirable roles in the revolution of technology. The smart world finds it hard to reach boundaries as evolutions in AI and Machine Learning are limitless; Constant endeavors in AI and Machine Learning are splendid to replicate the human brain in machines.
Good reads on AI and Machine Learning of 2022 are great in numbers. Some of the most interesting books can not only puddle up knowledge but make us more compatible with the modern world.
Author Name: Tariq Rashid
Publisher: Pearson Independently Published
Latest Edition: 1st edition
No of Pages: 222 pages
This reference guide will take us on a relaxing and enjoyable journey on AI. The book begins with very basic concepts and eventually develops a comprehension of how neural networks function. We will learn Python coding in this book as well as how to create a neural network that can compete with professionally designed networks.
Author Name: O Theobald
Publisher: Scatterplot Press
Latest Edition: 2nd edition
No of Pages: 164 pages
Primary contents of the book include types of Machine Learning, The Machine Learning Toolbox, Data Scrubbing, Setting Up Your Data, and Regression Analysis. The book also covers building a model in Python, artificial neural networks, support vector machines, clustering, etc. It comprises techniques like Grid Search, Feature Engineering, Cross-Validation, Ensemble Modeling, and One-hot Encoding.
Author Name: Ajay Agrawal
Publisher: Harvard Business Review Press
Latest Edition: 1st edition
No of Pages: 250 pages
This book of Artificial intelligence discussed the essence of making judgments in the face of uncertainty. Additionally, it describes how using prediction tools makes it easier to operate machines, handle paperwork, and interact with customers. The book’s conclusion explores how improved prediction opens doors for novel business models.
Author Name: Aurelien Geron
Publisher: Shroff/O’Reilly
Latest Edition: 2nd edition
No of Pages: 848 page
The reference material on Machine Learning teaches you the principles, moving from straightforward linear regression to deep neural networks. Several training models, including support vector machines, decision trees, random forests, and ensemble approaches, will also be covered in this book. Deep neural network training and scaling methods are also covered.
Author Name: Mariya Yao
Publisher: TOPBOTS
Latest Edition: 1st edition
No of Pages: 246 pages
For company executives who are passionate about utilizing machine intelligence, this book is a useful resource. This aids in raising both the effectiveness of their businesses and the standard of living in their neighborhoods. The book also teaches you how to use AI and machine learning in business choices.
Author Name: Paul R. Daugherty
Publisher: Harvard Business Review Press
Latest Edition: 1st edition
No of Pages: 246 pages
This book discusses the essence AI paradigm the change of all business processes within a single organization and aids in making the move. The book illustrates how businesses are advancing their creativity by utilizing the new AI guidelines. It also outlines six brand-new categories of hybrid roles that both humans and machines can play that every business must create.
Author Name: Harvard Business Review
Publisher: Independently Published
Latest Edition: 1st edition
No of Pages: 161 pages
The most significant pieces from dozens of Harvard Business Review articles were chosen for the book. You can learn about different AI consents and how to adopt them from this book. You will learn data science in this book, which is supported by machine learning and artificial intelligence. Chapters on the blockchain and augmented reality are also included.
Author Name: Krishna Rungta
Publisher: Guru99
Latest Edition: 1st edition
No of Pages: 446 pages
The most widely used deep learning library on the market is called TensorFlow. It contains a feature that allows for the most accurate graph computations, which makes it easier to see and create neural networks. Convolutions and recurrent neural networks are both provided in this helpful book on machine learning.
The above-mentioned books are a great helping hand for anyone keen to learn about AI and Machine Learning, the prime movers in modern technology.
