Grokking Artificial Intelligence Algorithms Pdf Github [exclusive] May 2026
Grokking Artificial Intelligence Algorithms by Rishal Hurbans is a visually-driven, beginner-friendly guide designed to demystify the complex logic behind modern AI. Unlike dense academic textbooks, this book prioritizes intuition over intense mathematics, making it accessible to developers who have basic high school-level algebra skills. Key Concepts and Algorithms
Part 1: What Does "Grokking" Mean in AI?
Before diving into the PDF and GitHub repositories, we must understand the verb "grok." Coined by Robert A. Heinlein in Stranger in a Strange Land, to "grok" means to understand something so deeply that it becomes a part of you. grokking artificial intelligence algorithms pdf github
Conclusion
Experiment: Change parameters like "learning rate" or "mutation rate." Technical notes on “grokking” implementations
The official GitHub repository is the best place to find the code mentioned in the book. It allows you to run simulations and see algorithms in action. Supervised Learning : Linear Regression
- Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVMs), and Neural Networks.
- Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), and t-Distributed Stochastic Neighbor Embedding (t-SNE).
- Reinforcement Learning: Markov Decision Processes, Q-Learning, and Deep Q-Networks.
- Technical notes on “grokking” implementations
Machine Learning (ML): Foundations of linear regression and classification algorithms for tasks like detecting bank fraud.