Grokking Artificial Intelligence Algorithms, Video Edition

Grokking Artificial Intelligence Algorithms, Video Edition

by Rishal Hurbans
Released July 2020
Publisher(s): Manning Publications
ISBN: 9781617296185VE

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Video description

In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.

From start to finish, the best book to help you learn AI algorithms and recall why and how you use them.
Linda Ristevski, York Region District School Board

Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises—including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization.

about the technology

Artificial intelligence touches every part of our lives. It powers our shopping and TV recommendations; it informs our medical diagnoses. Embracing this new world means mastering the core algorithms at the heart of AI.

about the book

Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. All you need is the algebra you remember from high school math class. Explore coding challenges like detect­ing bank fraud, creating artistic masterpieces, and setting a self-driving car in motion.

what's inside

  • Use cases for different AI algorithms
  • Intelligent search for decision making
  • Biologically inspired algorithms
  • Machine learning and neural networks
  • Reinforcement learning to build a better robot

about the audience

For software developers with high school–level algebra and calculus skills.

about the author

Rishal Hurbans is a technologist, founder, and international speaker.

This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way.
David Jacobs, Product Advance Local

The most comprehensive content I have seen on AI algorithms.
Karan Nih, Classic Software Solutions

This book removes the fear of stepping into the mechanics of AI.
Kyle Peterson, University of Iowa Athletics

NARRATED BY JEROMY LLOYD AND JULIE BRIERLEY

Table of contents

  1. Preface 1. Our obsession with technology and automation
  2. Preface 2. Ethics, legal matters, and our responsibility
  3. Chapter 1. Intuition of artificial intelligence
  4. Chapter 1. A brief history of artificial intelligence
  5. Chapter 1. Super intelligence: The great unknown
  6. Chapter 1. Banking: Fraud detection
  7. Chapter 2. Search fundamentals
  8. Chapter 2. Representing state: Creating a framework to represent problem spaces and solutions
  9. Chapter 2. Breadth-first search: Looking wide before looking deep
  10. Chapter 2. Depth-first search: Looking deep before looking wide
  11. Chapter 3. Intelligent search
  12. Chapter 2. A* search
  13. Chapter 3. Use cases for informed search algorithms
  14. Chapter 3. Exercise: What values would propagate in the following Min-max tree?
  15. Chapter 3. Alpha-beta pruning: Optimize by exploring the sensible paths only
  16. Chapter 4. Evolutionary algorithms
  17. Chapter 4. Problems applicable to evolutionary algorithms
  18. Chapter 4. Encoding the solution spaces
  19. Chapter 4. Selecting parents based on their fitness
  20. Chapter 4. Two-point crossover: Inheriting more parts from each parent
  21. Chapter 4. Configuring the parameters of a genetic algorithm
  22. Chapter 5. Advanced evolutionary approaches
  23. Chapter 5. Arithmetic crossover: Reproduce with math
  24. Chapter 5. Change node mutation: Changing the value of a node
  25. Chapter 6. Swarm intelligence: Ants
  26. Chapter 6. Representing state: What do paths and ants look like?
  27. Chapter 6. Set up the population of ants
  28. Chapter 6. Updating pheromones based on ant tours
  29. Chapter 7. Swarm intelligence: Particles
  30. Chapter 7. Problems applicable to particle swarm optimization
  31. Chapter 7. Calculate the fitness of each particle
  32. Chapter 7. Position update
  33. Chapter 8. Machine learning
  34. Chapter 8. Collecting and understanding data: Know your context
  35. Chapter 8. Ambiguous values
  36. Chapter 8. Finding the mean of the features
  37. Chapter 8. Testing the model: Determine the accuracy of the model
  38. Chapter 8. Classification with decision trees
  39. Chapter 8. Decision-tree learning life cycle
  40. Chapter 8. Classifying examples with decision trees
  41. Chapter 9. Artificial neural networks
  42. Chapter 9. Exercise: Calculate the output of the following input for the Perceptron
  43. Chapter 9. Forward propagation: Using a trained ANN
  44. Chapter 9. Backpropagation: Training an ANN
  45. Chapter 9. Options for activation functions
  46. Chapter 9. Bias
  47. Chapter 10. Reinforcement learning with Q-learning
  48. Chapter 10. Problems applicable to reinforcement learning
  49. Chapter 10. Training with the simulation using Q-learning
  50. Chapter 10. Exercise: Calculate the change in values for the Q-table
  51. Chapter 10. Deep learning approaches to reinforcement learning

Product information

  • Title: Grokking Artificial Intelligence Algorithms, Video Edition
  • Author(s): Rishal Hurbans
  • Release date: July 2020
  • Publisher(s): Manning Publications
  • ISBN: 9781617296185VE