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Why Machines Learn: The Elegant Math Behind Modern AI
Author: Anil Ananthaswamy
Quality: Black White Pakistan Print

Introduction

Why Machines Learn by Anil Ananthaswamy explores the mathematical principles and theories underlying modern artificial intelligence. The book delves into the elegant mathematics that powers machine learning algorithms, offering insights into how AI systems can learn from data and improve their performance over time. Ananthaswamy breaks down complex concepts like probability theory, information theory, linear algebra, and optimization into accessible explanations. Through real-world examples and historical context, the author traces the evolution of machine learning from early theoretical models to today's deep learning systems.

Key Points

  • Explains the mathematical foundations of machine learning, including calculus, linear algebra, and probability.
  • Covers key algorithms such as gradient descent, backpropagation, and support vector machines.
  • Discusses the role of statistics and information theory in learning from data.
  • Traces the historical development of AI and machine learning theories.
  • Explores neural networks and deep learning, including convolutional and recurrent models.
  • Analyzes real-world AI applications in areas like image recognition, natural language processing, and robotics.
  • Highlights the philosophical and ethical questions raised by machine learning and AI.

Why Read This Book

  • Provides a clear and engaging explanation of the math behind machine learning.
  • Suitable for both beginners and those with a technical background in AI.
  • Offers historical insights into the development of AI and machine learning.
  • Connects theoretical concepts to practical applications in AI.
  • Helps readers understand the limitations and potential of AI systems.

Conclusion

Why Machines Learn demystifies the complex mathematics behind modern AI, offering a balanced exploration of both theory and application. Ananthaswamy’s clear and engaging style makes it a valuable resource for anyone interested in understanding how machines learn and why AI is transforming the modern world.

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