A Clear, Concise, and Practical Refresher on the Core Math Concepts Behind Modern AI and ML
Are you diving into the world of artificial intelligence or machine learning, but feel the need to revisit the math that drives it all? This book is your fast-track refresher on the essential mathematical foundations that every AI and ML practitioner needs to understand.
Designed for students, data scientists, engineers, and curious professionals, this guide simplifies complex topics without sacrificing depth. Whether you're preparing for a course, brushing up for interviews, or building models from scratch, this reference will strengthen your understanding of the math powering today’s intelligent systems.
🔍 What You’ll Learn:Linear Algebra – vectors, matrices, eigenvalues, and why they matter in ML
Calculus – gradients, derivatives, and optimization in neural networks
Probability & Statistics – understanding uncertainty, Bayes’ theorem, and distributions
Discrete Math & Logic – sets, functions, and foundational reasoning
Optimization Techniques – cost functions, gradient descent, and convexity
Bonus Topics – Information theory, multivariable calculus, and more
Concise explanations with visual aids and examples
No-nonsense structure—ideal for quick review or deep study
Suitable for self-learners, students, or professionals switching into AI/ML
Covers just the math you need—no fluff, no filler
Whether you're building neural networks, tuning models, or simply want to understand the "how" behind the "wow," Essential Mathematics for Artificial Intelligence and Machine Learning equips you with the mathematical fluency to excel in the field.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. A Clear, Concise, and Practical Refresher on the Core Math Concepts Behind Modern AI and MLAre you diving into the world of artificial intelligence or machine learning, but feel the need to revisit the math that drives it all? This book is your fast-track refresher on the essential mathematical foundations that every AI and ML practitioner needs to understand.Designed for students, data scientists, engineers, and curious professionals, this guide simplifies complex topics without sacrificing depth. Whether you're preparing for a course, brushing up for interviews, or building models from scratch, this reference will strengthen your understanding of the math powering today's intelligent systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798289315014
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