Grokking Ai Algorithms, Second Edition: How Ai Solves Complex Problems

Get A Free Ebook (Pdf Or Epub) From Manning As Well As Access To The Online Livebook Format (And Its Ai Assistant That Will Answer Your Questions In Any Language) When You Purchase The Print Book.Artificial Intelligence Algorithms Are The Backbone Of Search And Optimization, Deep Learning, Reinforcement Learning, And, Of Course, Generative Ai. This Book Introduces The Most Important Ai Algorithms Using Relatable Illustrations, Interesting Examples, And ThoughtProvoking Exercises. Written In Simple Language And With Lots Of Visual References And HandsOn Code Examples, It Helps You Build A Natural Intuition Into How Intelligent Systems Learn, Plan, And Adapt. This Second Edition Has Been Thoroughly Revised, With New Chapters On Large Language Models, Image Generation, And More.You Know You Can Solve A Problem With AiBut How? Which Algorithm Do You Pick And How Do You Properly Implement It? This Book Makes It Simple And Easy To Understand The Most Core And Common Ai Approaches. YouLl Learn How To Understand Problem Types, Map RealWorld Tasks To Those Problems, And How To Design And Implement The Right AlgorithmAll Following Clear Visual Examples, Pseudocode, And LearningOriented Examples.In Grokking Ai Algorithms, Second Edition You Will Discover: How To Pick The Right Algorithm For Each Ai Problem Learn The Fundamentals Of Search (The Foundation Of Modern Ai) Building Intelligent Agents To Solve Puzzles Finding Solutions Using The Theory Of Evolution And Genetic Algorithms Make Predictions With Neural Networks Understand How Ai Gets Better With Reinforcement Learning Building A Llm Pipeline And Image Diffusion Model From Scratchabout The Technologyai Algorithms Are The Backbone Of Search And Optimization Problems, Deep Learning, Reinforcement Learning, And, Of Course, Generative Ai. But Knowing Which Algorithm To UseAnd WhyIs Often Harder Than Writing The Code Itself. Grokking Ai Algorithms, Second Edition Illuminates The Algorithms Behind Modern Generative Ai With Clear Explanations, StepByStep Code Examples, And Beautifully Simple Illustrations.About The Bookeverything YouLl Learn In This Powerfully Simple Book Is Reinforced Through Engaging, EndToEnd ProjectsFrom Solving Mazes With Search Algorithms To Navigating A Car Through A Crowded Parking Lot With Reinforcement Learning. Plus, This Second Edition Has Been Thoroughly Revised With Fresh Chapters Exploring The Core Algorithms Of Llms And Image Generation Models.WhatS Inside Search Algorithms And Swarm Optimization Deep Learning And Neural Networks Training Ai With Reinforcement Learning Building A Llm Pipeline For Text Generationabout The Readerrequires Beginning To Intermediate Programming Skills And High School Level Mathematics. No Ai Experience Required.About The Authorrishal Hurbans Is An Experienced Technologist And Serial Entrepreneur Specializing In Ai Engineering And Human Performance.Table Of Contents1 Intuition Of Ai2 Search Fundamentals3 Intelligent Search4 Evolutionary Algorithms5 Advanced Evolutionary Approaches6 Swarm Intelligence: Ants7 Swarm Intelligence: Particles8 Machine Learning9 Artificial Neural Networks10 Reinforcement Learning11 Large Language Models12 Generative Image Models