Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods, Optimization Techniques, and More (AI Fundamentals)


Price: $14.99
(as of Dec 28,2024 01:01:11 UTC – Details)


From the Publisher

Master AI's Mathematical Foundations with 'Essential Math for AI'Master AI's Mathematical Foundations with 'Essential Math for AI'

Unlock AI's potential through in-depth linear algebra and calculus insights.Unlock AI's potential through in-depth linear algebra and calculus insights.

Enhance AI applications with advanced probability, statistics, and optimization techniques.Enhance AI applications with advanced probability, statistics, and optimization techniques.

Explore graph theory and discrete math for cutting-edge AI development.Explore graph theory and discrete math for cutting-edge AI development.

Take the first step towards AI mastery—delve into the essential math today. Get your copy now!Take the first step towards AI mastery—delve into the essential math today. Get your copy now!

Publisher ‏ : ‎ Book Bound Studios (November 13, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 158 pages
ISBN-10 ‏ : ‎ 1923045865
ISBN-13 ‏ : ‎ 978-1923045866
Item Weight ‏ : ‎ 7.7 ounces
Dimensions ‏ : ‎ 6 x 0.36 x 9 inches

Customers say

Customers find the book’s explanations of fundamental mathematical concepts and practical examples helpful for understanding how math fits into AI. They learn how to optimize AI models, understand data, and explore advanced techniques that improve performance. The book covers a breadth of essential topics, including linear algebra, probability, calculus, graph theory, and more. Opinions differ on the reading experience – some find it engaging and informative, while others feel the authorial voice makes it difficult to engage with the text on a personal level.

AI-generated from the text of customer reviews


In order to understand and succeed in the field of Artificial Intelligence (AI), it is essential to have a strong foundation in mathematics. From linear algebra to calculus, probability and statistics to graph theory, discrete mathematics to numerical methods, and optimization techniques, these mathematical concepts form the backbone of AI algorithms and models.

Linear algebra is crucial for understanding how data is represented and manipulated in AI systems. Probability and statistics are used to analyze and interpret data, making informed decisions based on patterns and trends. Calculus is necessary for optimizing AI algorithms and models, ensuring efficiency and accuracy.

Graph theory plays a key role in analyzing complex relationships and structures within data sets. Discrete mathematics provides the tools for solving combinatorial problems and optimizing algorithms. Numerical methods are used to solve complex mathematical problems efficiently and accurately.

Optimization techniques are essential for fine-tuning AI models and algorithms to achieve the desired outcomes. By mastering these mathematical concepts, AI practitioners can develop and implement cutting-edge AI solutions that push the boundaries of what is possible.

In this post, we will explore the essential math concepts for AI, delving into each topic in detail and highlighting their importance in the field of Artificial Intelligence. Stay tuned for a deep dive into the world of AI fundamentals!
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