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Probability, Statistics and Maths for AI: A comprehensive guide to understanding probability, statistics, and mathematics for AI
Master the fundamental concepts of probability, statistics, and math to excel in Artificial Intelligence!
This comprehensive guide covers the essential topics you need to know to succeed in AI.
From basic probability theory to advanced statistical modeling, this book provides a clear and concise introduction to the mathematical underpinnings of AI.
Learn key concepts such
* Probability distributions (Bernoulli, Binomial, Poisson, Normal)
* Bayes' theorem and conditional probability
* Statistical inference (hypothesis testing, confidence intervals)
* Linear algebra and matrix operations
* Calculus for optimization and gradient descent
Whether you're a beginner or looking to deepen your understanding of AI, this book is the perfect resource.
With real-world examples and exercises throughout, you'll gain hands-on experience applying probability, statistics, and math to solve problems in AI.
Get ready to take your skills to the next level and unlock the power of AI with this comprehensive guide!
This comprehensive guide covers the essential topics you need to know to succeed in AI.
From basic probability theory to advanced statistical modeling, this book provides a clear and concise introduction to the mathematical underpinnings of AI.
Learn key concepts such
* Probability distributions (Bernoulli, Binomial, Poisson, Normal)
* Bayes' theorem and conditional probability
* Statistical inference (hypothesis testing, confidence intervals)
* Linear algebra and matrix operations
* Calculus for optimization and gradient descent
Whether you're a beginner or looking to deepen your understanding of AI, this book is the perfect resource.
With real-world examples and exercises throughout, you'll gain hands-on experience applying probability, statistics, and math to solve problems in AI.
Get ready to take your skills to the next level and unlock the power of AI with this comprehensive guide!
657 pages, Kindle Edition
Published October 11, 2024
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