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The AI Expedition: From Basics to Brilliance
Artificial intelligence is reshaping the technology, introducing new advancements and opportunities, guiding us into a future filled with extraordinary progress and possibilities. "The AI From Basics to Brilliance" is your essential guide to navigating this fascinating world, offering a deep dive into the core algorithms that power AI, and unraveling the mysteries that lie at the heart of this revolutionary technology.
Designed to be a comprehensive yet accessible exploration of AI, this book takes readers on an enriching journey from the foundational concepts to the most advanced techniques. Whether you are a student, a professional looking to enhance your knowledge, or a curious mind eager to explore the future of technology, this book offers a pathway to understanding the complex world of AI algorithms.
What You Will
A Comprehensive Overview of Delve into the history and evolution of AI, understanding its trajectory and its transformative potential.Core AI Algorithms From neural networks to decision trees, explore the algorithms that power AI, understanding their workings, applications, and impact.Real-World Applications and Case Through detailed case studies, understand how AI is reshaping industries and driving innovation.Looking Venture into the future of AI, exploring emerging trends and envisioning the transformative potential of AI in the coming years.Join us on this expedition into the world of AI, as we navigate the complex landscape of artificial intelligence, offering a roadmap to understanding and mastery. "The AI From Basics to Brilliance" promises to be an enlightening journey, offering readers the tools and knowledge to navigate the future with insight and curiosity.
Designed to be a comprehensive yet accessible exploration of AI, this book takes readers on an enriching journey from the foundational concepts to the most advanced techniques. Whether you are a student, a professional looking to enhance your knowledge, or a curious mind eager to explore the future of technology, this book offers a pathway to understanding the complex world of AI algorithms.
What You Will
A Comprehensive Overview of Delve into the history and evolution of AI, understanding its trajectory and its transformative potential.Core AI Algorithms From neural networks to decision trees, explore the algorithms that power AI, understanding their workings, applications, and impact.Real-World Applications and Case Through detailed case studies, understand how AI is reshaping industries and driving innovation.Looking Venture into the future of AI, exploring emerging trends and envisioning the transformative potential of AI in the coming years.Join us on this expedition into the world of AI, as we navigate the complex landscape of artificial intelligence, offering a roadmap to understanding and mastery. "The AI From Basics to Brilliance" promises to be an enlightening journey, offering readers the tools and knowledge to navigate the future with insight and curiosity.
85 pages, Kindle Edition
Published September 23, 2023
About the author
Manas Joshi
8 booksI am the author of Fleeting Breeze—a brutally honest memoir written not to heal, but to destroy. My writing is not meant to inspire or comfort. It is meant to confront the darkest parts of existence and strip away the illusions of hope.
Before Fleeting Breeze, I published my debut work, To My Mother—a tragic tale exploring the depths of despair and the cruel indifference of life. While it touched upon themes of loss and hopelessness, Fleeting Breeze is a rawer, more personal account.
I write because the world I inhabit is already shattered. My words are nothing more than fragments of a broken mind trying to bury the last traces of light.
If you choose to read my work, understand that it is not meant to save anyone. It is meant to embrace the darkness and find solace within it.
Before Fleeting Breeze, I published my debut work, To My Mother—a tragic tale exploring the depths of despair and the cruel indifference of life. While it touched upon themes of loss and hopelessness, Fleeting Breeze is a rawer, more personal account.
I write because the world I inhabit is already shattered. My words are nothing more than fragments of a broken mind trying to bury the last traces of light.
If you choose to read my work, understand that it is not meant to save anyone. It is meant to embrace the darkness and find solace within it.
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Displaying 1 - 2 of 2 reviews
November 5, 2023
Good introduction to AI
This is a useful book to provide students and others with a foundational understanding of AI.
The book is clearly laid out with sections and sub sections. It covers the history of AI, basic concepts, algorithms, data, decision trees, neural networks, clustering, regression, and ends by covering the future of AI, including some of the ethical considerations around privacy, security, and potential misuse.
Real world case studies are provided throughout the book; this allows the reader to connect their learning with everyday items they are familiar with, for example Siri, Alexa. Advantages and disadvantages of various techniques are also provided. There is a contents page, but the sections are not labelled there, which was my only criticism when navigating through the book.
The book is written in an accessible way, and acronyms are defined. Readers are provided with an introduction to some of the basic concepts and jargon that they will be exposed to if they plan to study or work with AI, for example Machine Learning (ML), Natural Language Processing (NLP), etc.
The book goes into quite a lot of detail in some chapters, for example, the ‘Clustering’ chapter covers distance metrics and feature scaling, as well as determining the number of clusters, and clustering algorithms. These more detailed chapters are likely to appeal more to students or professionals working in the field of AI, rather than casual readers who just want to understand a little more about AI.
Overall, I thought it was a well-thought-out book, providing a good overview of AI.
This is a useful book to provide students and others with a foundational understanding of AI.
The book is clearly laid out with sections and sub sections. It covers the history of AI, basic concepts, algorithms, data, decision trees, neural networks, clustering, regression, and ends by covering the future of AI, including some of the ethical considerations around privacy, security, and potential misuse.
Real world case studies are provided throughout the book; this allows the reader to connect their learning with everyday items they are familiar with, for example Siri, Alexa. Advantages and disadvantages of various techniques are also provided. There is a contents page, but the sections are not labelled there, which was my only criticism when navigating through the book.
The book is written in an accessible way, and acronyms are defined. Readers are provided with an introduction to some of the basic concepts and jargon that they will be exposed to if they plan to study or work with AI, for example Machine Learning (ML), Natural Language Processing (NLP), etc.
The book goes into quite a lot of detail in some chapters, for example, the ‘Clustering’ chapter covers distance metrics and feature scaling, as well as determining the number of clusters, and clustering algorithms. These more detailed chapters are likely to appeal more to students or professionals working in the field of AI, rather than casual readers who just want to understand a little more about AI.
Overall, I thought it was a well-thought-out book, providing a good overview of AI.
May 20, 2026
Good job Manas! 👏
Enjoyed this book as a quick "introduction" to AI that is easily read and digested. I will caveat though by saying "for people like me!" Yes, it frames AI well, but it also goes fairly deep, and fairly abruptly, into some quite complex Data Science terms and techniques like clustering, regression and binary trees. I love all that data stuff so it was great for a refresher, however those who was a discussion on more of the accessible LLM tools may find this lacking, or not see the relevance.
Some other feedback - the book would benefit massively from diagrams!! It currently has none, and I firmly believe you can't describe binary trees or K-means clustering without them.
Otherwise, if you are interested in the lineage and complexities of AI, ML and Data Science, give it a whirl.
Enjoyed this book as a quick "introduction" to AI that is easily read and digested. I will caveat though by saying "for people like me!" Yes, it frames AI well, but it also goes fairly deep, and fairly abruptly, into some quite complex Data Science terms and techniques like clustering, regression and binary trees. I love all that data stuff so it was great for a refresher, however those who was a discussion on more of the accessible LLM tools may find this lacking, or not see the relevance.
Some other feedback - the book would benefit massively from diagrams!! It currently has none, and I firmly believe you can't describe binary trees or K-means clustering without them.
Otherwise, if you are interested in the lineage and complexities of AI, ML and Data Science, give it a whirl.
Displaying 1 - 2 of 2 reviews