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Grokking Artificial Intelligence Algorithms
”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
Key Features
Master the core algorithms of deep learning and AI
Build an intuitive understanding of AI problems and solutions
Written in simple language, with lots of illustrations and hands-on examples
Creative coding exercises, including building a maze puzzle game and exploring drone optimization
About The Book
“Artificial intelligence” requires teaching a computer how to approach different types of problems in a systematic way. The core of AI is the algorithms that the system uses to do things like identifying objects in an image, interpreting the meaning of text, or looking for patterns in data to spot fraud and other anomalies. Mastering the core algorithms for search, image recognition, and other common tasks is essential to building good AI applications
Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts.You’ll explore coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. All you need is the algebra you remember from high school math class and beginning programming skills.
What You Will Learn
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
This Book Is Written For
For software developers with high school–level math skills.
About the Author
Rishal Hurbans is a technologist, startup and AI group founder, and international speaker.
Table of Contents
1 Intuition of artificial intelligence
2 Search fundamentals
3 Intelligent search
4 Evolutionary algorithms
5 Advanced evolutionary approaches
6 Swarm intelligence: Ants
7 Swarm intelligence: Particles
8 Machine learning
9 Artificial neural networks
10 Reinforcement learning with Q-learning
Key Features
Master the core algorithms of deep learning and AI
Build an intuitive understanding of AI problems and solutions
Written in simple language, with lots of illustrations and hands-on examples
Creative coding exercises, including building a maze puzzle game and exploring drone optimization
About The Book
“Artificial intelligence” requires teaching a computer how to approach different types of problems in a systematic way. The core of AI is the algorithms that the system uses to do things like identifying objects in an image, interpreting the meaning of text, or looking for patterns in data to spot fraud and other anomalies. Mastering the core algorithms for search, image recognition, and other common tasks is essential to building good AI applications
Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts.You’ll explore coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. All you need is the algebra you remember from high school math class and beginning programming skills.
What You Will Learn
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
This Book Is Written For
For software developers with high school–level math skills.
About the Author
Rishal Hurbans is a technologist, startup and AI group founder, and international speaker.
Table of Contents
1 Intuition of artificial intelligence
2 Search fundamentals
3 Intelligent search
4 Evolutionary algorithms
5 Advanced evolutionary approaches
6 Swarm intelligence: Ants
7 Swarm intelligence: Particles
8 Machine learning
9 Artificial neural networks
10 Reinforcement learning with Q-learning
362 pages, Paperback
Published September 1, 2020
36 people are currently reading
501 people want to read
Ratings & Reviews
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Displaying 1 - 8 of 8 reviews
June 23, 2023
an algorithmic introduction to AI targeting developers new to the field. it starts slow with a breadth first survey, then digs deeper towards the end with practical examples. good for basics but ain’t no grokking AI without further reading and coding.
November 14, 2020
Incredible material presented in a very unique and engaging manner. Initially expected a very different book, but absolutely glad I picked it up and read it. Learned a ton!
October 1, 2022
Very good broad introduction to artificial intelligence.
June 8, 2022
The first part of the book about history is simply irrelevant to the topic.
The explanation of the algorithms and the examples are not very appealing.
There are much better books about AI out there, this one at best only serves a very basic intro.
The explanation of the algorithms and the examples are not very appealing.
There are much better books about AI out there, this one at best only serves a very basic intro.
July 16, 2022
The description of the algorithms is too shallow to offer any real insight but offers too much detail for an overview.
July 1, 2023
Clear, concise, motivational book for ANN.
October 9, 2023
Довольно размыто, краткий обзор главы в конце часто помогает
October 5, 2024
3+
Nice overview.
But, the audiobook version of this book is bad - the narrator skips over exercises, and there are a lot of visualizations in the book that aren't described in the audio.
Nice overview.
But, the audiobook version of this book is bad - the narrator skips over exercises, and there are a lot of visualizations in the book that aren't described in the audio.
Displaying 1 - 8 of 8 reviews