headerdesktop bookzone16octo26

MAI SUNT 00:00:00:00

MAI SUNT

X

headermobile bookzone16octo26

MAI SUNT 00:00:00:00

MAI SUNT

X

Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods,

De (autor): Andrew Hinton

Coperta cărții 'Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete'
Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods,

De (autor): Andrew Hinton

Are you ready to unlock the mathematical secrets that power today's most advanced artificial intelligence systems? "Essential Math for AI" is an essential guide for anyone looking to understand the complex mathematical underpinnings of AI. Whether you're an AI enthusiast, a student, or a professional in the field, this book is tailored to enrich your knowledge and prepare you for the future of AI innovation.


Here's what you'll discover inside:

  • Linear Algebra: Dive into the core of machine learning with in-depth explorations of vectors, matrices, and data transformations.
  • Probability and Statistics: Learn how to make sense of data and uncertainty, which is crucial for developing robust AI applications.
  • Calculus: Optimize AI models using the power of derivatives, integrals, and multivariable optimization.
  • Graph Theory: Model complex relationships and understand the algorithms that can navigate these structures in AI.
  • Discrete Mathematics: Tackle combinatorial problems and optimize algorithmic efficiency, a cornerstone of AI development.
  • Numerical Methods: Solve equations and approximate functions, enhancing the computational power of AI.
  • Optimization Techniques: From gradient descent to swarm intelligence, master the methods that enhance AI performance.
  • Game Theory: Analyze strategic decision-making and its profound implications in AI.
  • Information Theory: Quantify and encode data, ensuring efficiency and integrity in AI systems.
  • Topology and Geometry: Uncover hidden structures in data, paving the way for breakthroughs in AI research.


"Essential Math for AI" provides a comprehensive overview of the mathematical concepts propelling AI forward and offers a glimpse into the future of how these disciplines will continue to shape the AI landscape. With chapter summaries to consolidate your learning and a clear path charted for future exploration, this book is your roadmap to becoming well-versed in the mathematics of AI.


Take the next step in your AI journey. Embrace the mathematical challenges and opportunities with "Essential Math for AI."

Citește mai mult

-10%

transport gratuit

PRP: 198.32 Lei

!

Acesta este Prețul Recomandat de Producător. Prețul de vânzare al produsului este afișat mai jos.

178.49Lei

178.49Lei

198.32 Lei

Primești 178 puncte

Important icon msg

Primești puncte de fidelitate după fiecare comandă! 100 puncte de fidelitate reprezintă 1 leu. Folosește-le la viitoarele achiziții!

Livrare in 2-4 saptamani

Descrierea produsului

Are you ready to unlock the mathematical secrets that power today's most advanced artificial intelligence systems? "Essential Math for AI" is an essential guide for anyone looking to understand the complex mathematical underpinnings of AI. Whether you're an AI enthusiast, a student, or a professional in the field, this book is tailored to enrich your knowledge and prepare you for the future of AI innovation.


Here's what you'll discover inside:

  • Linear Algebra: Dive into the core of machine learning with in-depth explorations of vectors, matrices, and data transformations.
  • Probability and Statistics: Learn how to make sense of data and uncertainty, which is crucial for developing robust AI applications.
  • Calculus: Optimize AI models using the power of derivatives, integrals, and multivariable optimization.
  • Graph Theory: Model complex relationships and understand the algorithms that can navigate these structures in AI.
  • Discrete Mathematics: Tackle combinatorial problems and optimize algorithmic efficiency, a cornerstone of AI development.
  • Numerical Methods: Solve equations and approximate functions, enhancing the computational power of AI.
  • Optimization Techniques: From gradient descent to swarm intelligence, master the methods that enhance AI performance.
  • Game Theory: Analyze strategic decision-making and its profound implications in AI.
  • Information Theory: Quantify and encode data, ensuring efficiency and integrity in AI systems.
  • Topology and Geometry: Uncover hidden structures in data, paving the way for breakthroughs in AI research.


"Essential Math for AI" provides a comprehensive overview of the mathematical concepts propelling AI forward and offers a glimpse into the future of how these disciplines will continue to shape the AI landscape. With chapter summaries to consolidate your learning and a clear path charted for future exploration, this book is your roadmap to becoming well-versed in the mathematics of AI.


Take the next step in your AI journey. Embrace the mathematical challenges and opportunities with "Essential Math for AI."

Citește mai mult

S-ar putea să-ți placă și

De același autor

Părerea ta e inspirație pentru comunitatea Libris!

Acum se comandă

Noi suntem despre cărți, la fel este și

Newsletter-ul nostru.

Abonează-te la veștile literare și primești un cupon de EXTRA -10% reducere pentru viitoarea ta comandă!

Mă abonez image one
Mă abonez image one
Accessibility Logo