| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 001. Chapter 1 Intuition of AI.en.srt | 49.1 KB | ||
| 001. Chapter 1 Intuition of AI.mp4 | 125.8 MB | ||
| 002. Chapter 2 Search fundamentals.en.srt | 57.1 KB | ||
| 002. Chapter 2 Search fundamentals.mp4 | 135.6 MB | ||
| 003. Chapter 3 Intelligent search.en.srt | 47.5 KB | ||
| 003. Chapter 3 Intelligent search.mp4 | 134.4 MB | ||
| 004. Chapter 4 Evolutionary algorithms.en.srt | 74.1 KB | ||
| 004. Chapter 4 Evolutionary algorithms.mp4 | 164.1 MB | ||
| 005. Chapter 5 Advanced evolutionary approaches.en.srt | 33.3 KB | ||
| 005. Chapter 5 Advanced evolutionary approaches.mp4 | 84.8 MB | ||
| 006. Chapter 6 Swarm intelligence Ants.en.srt | 43.7 KB | ||
| 006. Chapter 6 Swarm intelligence Ants.mp4 | 102.7 MB | ||
| 007. Chapter 7 Swarm intelligence Particles.en.srt | 53.1 KB | ||
| 007. Chapter 7 Swarm intelligence Particles.mp4 | 110.1 MB | ||
| 008. Chapter 8 Machine learning.en.srt | 85 KB | ||
| 008. Chapter 8 Machine learning.mp4 | 205.3 MB | ||
| 009. Chapter 9 Artificial neural networks.en.srt | 89.7 KB | ||
| 009. Chapter 9 Artificial neural networks.mp4 | 216 MB | ||
| 010. Chapter 10 Reinforcement learning.en.srt | 75.8 KB | ||
| 010. Chapter 10 Reinforcement learning.mp4 | 204.6 MB | ||
| 011. Chapter 11 Large language models.en.srt | 156.7 KB | ||
| 011. Chapter 11 Large language models.mp4 | 363.9 MB | ||
| 012. Chapter 12 Generative image models.en.srt | 141.3 KB | ||
| 012. Chapter 12 Generative image models.mp4 | 340.3 MB | ||
| Bonus Resources.txt | 102.4 B |
Grokking AI Algorithms, Second Edition, Video Edition
https://WebToolTip.com
Published 4/2026
By Rishal Hurbans
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 10h 46m | Size: 2.4 GB
Understand the algorithms that underpin AI, from classic to cutting-edge.
Artificial intelligence algorithms are the backbone of search and optimization, deep learning, reinforcement learning, and, of course, generative AI. Grokking AI Algorithms, Second Edition introduces the most important AI algorithms using relatable illustrations, interesting examples, and thought-provoking exercises. Written in simple language and with lots of visual references and hands-on 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.
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 scratch
You know you can solve a problem with AI—but how? Which algorithm do you pick and how do you properly implement it? Grokking AI Algorithms, Second Edition makes it simple and easy to understand the most core and common AI approaches. You’ll learn how to understand problem types, map real-world tasks to those problems, and how to design and implement the right algorithm—all following clear visual examples, pseudocode, and learning-oriented examples.
About the Technology
AI algorithms are the backbone of search and optimization problems, deep learning, reinforcement learning, and, of course, generative AI. But knowing which algorithm to use—and why—is often harder than writing the code itself. Grokking AI Algorithms, Second Edition illuminates the algorithms behind modern generative AI with clear explanations, step-by-step code examples, and beautifully simple illustrations.
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