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Basic Math for AI: A Beginner’s Quickstart Guide to the Mathematical Foundations of Artificial Intelligence
Free Bonus Included—A Copy of Andrew Hinton’s Limited Edition Book Titled “The Power of AI.”
Are you intrigued by Artificial Intelligence but overwhelmed by the mathematical foundations necessary to understand and develop AI technologies?
You are not alone. "Basic Math for AI" is here to bridge that gap.
This comprehensive guide demystifies the essential mathematics needed to dive into the world of AI. It’s accessible to everyone, from students to professionals eager to enhance their understanding and skills.
"Basic Math for AI" starts with the basics. It explains why mathematics is not just useful but crucial for AI.
The book is structured to gradually build your knowledge from fundamental concepts to more complex theories. This methodical approach ensures a solid understanding of each mathematical principle as it applies to AI applications.
Whether you are a beginner looking to get a head start or an experienced practitioner aiming to revisit and solidify your mathematical skills, this book offers a clear and structured approach to learning.
From "Basic Math for "Master key mathematical concepts such as algebra, calculus, and linear algebra, which are pivotal for AI.Explore specialized topics like probability, statistics, and optimization techniques tailored to machine learning and AI algorithms.Gain practical insights with sections dedicated to applying mathematics in AI, including machine learning, dynamic systems, and more.Understand complex variables, differential equations, and numerical methods that elevate your ability to solve real-world AI problems.Benefit from detailed summaries at the end of each chapter that reinforce learning and ensure retention of key concepts.Prepare for the future with discussions on current trends, ethical considerations, and interdisciplinary approaches in AI.
Don't let a lack of mathematical knowledge keep you from advancing in AI.
Grab your copy of "Basic Math for AI" today and start unlocking the mathematical secrets behind artificial intelligence!
Whether you're reading to learn, to teach, or to implement, this book is an essential resource for anyone ready to enhance their mastery of math for AI.
So, what are you waiting for? Add this book to your cart and buy it now!
Are you intrigued by Artificial Intelligence but overwhelmed by the mathematical foundations necessary to understand and develop AI technologies?
You are not alone. "Basic Math for AI" is here to bridge that gap.
This comprehensive guide demystifies the essential mathematics needed to dive into the world of AI. It’s accessible to everyone, from students to professionals eager to enhance their understanding and skills.
"Basic Math for AI" starts with the basics. It explains why mathematics is not just useful but crucial for AI.
The book is structured to gradually build your knowledge from fundamental concepts to more complex theories. This methodical approach ensures a solid understanding of each mathematical principle as it applies to AI applications.
Whether you are a beginner looking to get a head start or an experienced practitioner aiming to revisit and solidify your mathematical skills, this book offers a clear and structured approach to learning.
From "Basic Math for "Master key mathematical concepts such as algebra, calculus, and linear algebra, which are pivotal for AI.Explore specialized topics like probability, statistics, and optimization techniques tailored to machine learning and AI algorithms.Gain practical insights with sections dedicated to applying mathematics in AI, including machine learning, dynamic systems, and more.Understand complex variables, differential equations, and numerical methods that elevate your ability to solve real-world AI problems.Benefit from detailed summaries at the end of each chapter that reinforce learning and ensure retention of key concepts.Prepare for the future with discussions on current trends, ethical considerations, and interdisciplinary approaches in AI.
Don't let a lack of mathematical knowledge keep you from advancing in AI.
Grab your copy of "Basic Math for AI" today and start unlocking the mathematical secrets behind artificial intelligence!
Whether you're reading to learn, to teach, or to implement, this book is an essential resource for anyone ready to enhance their mastery of math for AI.
So, what are you waiting for? Add this book to your cart and buy it now!
142 pages, Kindle Edition
Published June 5, 2024
23 people are currently reading
5 people want to read
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Displaying 1 - 2 of 2 reviews
June 29, 2024
Invaluable resource for AI learning
“Basic Math for AI” is a must-read for anyone interested in AI. Hinton clearly breaks down complex math concepts, making them accessible and relevant. From algebra to optimization, each concept is expertly linked to AI applications. The book’s step-by-step approach, practical insights, and helpful summaries reinforce learning, making this book an invaluable resource for beginners and practitioners alike.
“Basic Math for AI” is a must-read for anyone interested in AI. Hinton clearly breaks down complex math concepts, making them accessible and relevant. From algebra to optimization, each concept is expertly linked to AI applications. The book’s step-by-step approach, practical insights, and helpful summaries reinforce learning, making this book an invaluable resource for beginners and practitioners alike.
August 8, 2024
Very details led book.
I went to this book, with a slightly incorrect view as to what would be included. It was very interesting as to how AI was built up, using maths and the application of maths system in AI.
Some of the ethic options are interesting with how system of creation can create increasing basis, and potentially cause ethic issues.
Would recommend this.
I went to this book, with a slightly incorrect view as to what would be included. It was very interesting as to how AI was built up, using maths and the application of maths system in AI.
Some of the ethic options are interesting with how system of creation can create increasing basis, and potentially cause ethic issues.
Would recommend this.
Displaying 1 - 2 of 2 reviews