Why Machines Learn: The Elegant Math Behind Modern AI
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Why Machines Learn: The Elegant Math Behind Modern AI
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down.
Why Machines Learn: The Elegant Math Behind Modern AI
Numéro d'article: 90078916

Why Machines Learn: The Elegant Math Behind Modern AI

90% des répondants recommanderaient ceci à un ami

Numéro d'article: 90078916

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Ce qui se démarque

Comprehensive Understanding
Provides in-depth insights into machine learning principles, making complex mathematical concepts accessible to diverse readers, from beginners to experts.
Visual Learning Tools
Utilizes engaging visuals and diagrams to simplify intricate mathematical theories, enhancing comprehension and retention for learners of all levels.
Current Trends
Covers the latest advancements and applications in AI, ensuring readers stay updated with modern practices in the rapidly evolving field of artificial intelligence.

Détails du produit

Shop Why Machines Learn: The Elegant Math Behind Modern AI online at a best price in Madagascar. 0593185749
Publisher Dutton
Publication date July 16, 2024
Language English
Print length 480 pages
ISBN-10 0593185749
ISBN-13 978-0593185742
Item Weight 2.31 pounds (1.05 kg)
Dimensions 6.27 x 1.5 x 9.29 inches (15.9 x 3.8 x 23.6 cm)

À qui est-ce destiné ?

Suitable For
  • AI Enthusiasts

    Individuals interested in artificial intelligence who want to deepen their understanding of mathematical concepts behind machine learning.

  • Students in STEM

    Students studying STEM subjects seeking to strengthen their knowledge in algorithms and mathematical foundations of AI.

  • Professionals in Tech

    Tech industry professionals looking to enhance their skills in AI and its mathematical underpinnings for career growth.

Not Suitable For
  • Casual Readers

    General readers looking for light reading; the book delves into complex mathematics not suitable for casual consumption.

DESCRIPTION DU PRODUIT

Why Machines Learn: The Elegant Math Behind Modern AI

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Questions et réponses des clients

  • question: What is the main focus of 'Why Machines Learn: The Elegant Math Behind Modern AI'?

    répondre: The book primarily explores the mathematical foundations that underpin modern artificial intelligence. It delves into algorithms, statistical models, and the intricacies of machine learning techniques. Understanding these components is essential for anyone looking to grasp how AI operates and makes decisions. By breaking down complex theories into more digestible concepts, this title is suitable for both novices and experts who wish to deepen their knowledge in the field.
  • question: Is this book suitable for beginners in AI?

    répondre: 'Why Machines Learn' is crafted in a way that makes it accessible to beginners. It introduces key concepts gradually, ensuring that readers without a strong mathematical background can still follow along. The text is filled with examples and illustrations that demonstrate real-world applications of AI methods, making it an ideal starting point for anyone interested in entering the AI domain.
  • question: What makes this book different from other AI books?

    répondre: This book distinguishes itself by focusing specifically on the mathematics that drives machine learning rather than just the applications of AI technologies. While many books may touch upon theory, this title dives deep into the mathematical reasoning behind algorithm choices and modifications. Readers will appreciate the emphasis on elegance and simplicity in complex mathematical ideas, making it a unique addition to the AI literature.
  • question: Who are the authors of this book?

    répondre: The book features contributions from prominent experts in artificial intelligence and applied mathematics. The authors are well-respected in their fields, with a wealth of experience in both academia and industry. Their combined expertise ensures that readers receive insights that are not only theoretically sound but also practically relevant, reflecting current trends and future directions in AI development.
  • question: What topics does the book cover?

    répondre: The book encompasses a wide range of topics including supervised and unsupervised learning, neural networks, optimization techniques, and model evaluation. Each chapter systematically addresses different mathematical concepts and their application in AI, providing readers with a comprehensive understanding of how these elements interconnect to form robust machine learning systems.
  • question: Can this book help me in my job related to AI?

    répondre: Absolutely! 'Why Machines Learn' not only provides theoretical insights but also equips readers with practical knowledge that can be applied directly in the workplace. Understanding the mathematical principles of AI can enhance your problem-solving skills, improve your decision-making capabilities, and empower you to contribute more effectively to AI-focused projects, making it a valuable resource for professionals in tech industries.
  • question: Does the book include practical examples or case studies?

    répondre: Yes, the book is enriched with practical examples and case studies that demonstrate how theoretical concepts translate into real-world applications. Readers will see how various algorithms perform with different datasets and scenarios, providing a deeper understanding of their strengths and limitations. This practical approach helps solidify the concepts discussed and encourages readers to think critically about how they can apply these ideas.
  • question: How robust is the mathematical content in the book?

    répondre: The mathematical content in 'Why Machines Learn' is both extensive and approachable. While it does tackle complex mathematical theories, the authors take care to explain these concepts clearly, often with visual aids and intuitive explanations. This balance ensures that even those with moderate math skills can grasp the essential ideas, making it a strong educational tool for serious learners.
  • question: Are there any resources for further learning suggested in the book?

    répondre: Yes, the book often points readers toward additional resources for further exploration of the topics covered. These may include online courses, academic papers, and other relevant literature that dive deeper into specific subjects. This commitment to providing supplementary learning materials enhances the reader's journey through AI and encourages ongoing education in the field.
  • question: Where can I buy 'Why Machines Learn: The Elegant Math Behind Modern AI'?

    répondre: You can purchase 'Why Machines Learn: The Elegant Math Behind Modern AI' on Ubuy, a reliable online platform that offers a variety of products. Ubuy provides a user-friendly shopping experience, making it easy to find and order this insightful book, ensuring it reaches you promptly so you can embark on your learning journey in AI mathematics.

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Caractéristiques et avantages

  • Explains the mathematical foundations of machine learning.
  • Covers the influence of AI in critical decision-making areas.
  • Links complex concepts from various scientific fields.
  • Discusses the history and evolution of AI and machine learning.
  • Highlights the importance of understanding AI’s capabilities and limitations.
  • Illustrates how simple mathematics drives advanced technology.

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