Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

High dimensionality often challenges the efficiency and accuracy of a classifier, while evolutionary feature selection is an effective method for data preprocessing and dimensionality reduction.

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

xiii, 238 pages : 24 cm Learn web scraping and crawling techniques to access data from any web source in any format. Teaches basic web scraping mechanics, but also delves into more advanced topics, ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

"Become a coding god!" is not an achievable milestone. "Solve 5 array problems this week" is. Break down your big goals into ...

🛰️ An interactive visual simulator that models internet packet flow across a custom network using max-flow algorithms. It helps analyze routing efficiency using Dinic, Edmonds-Karp, Goldberg-Tarjan , ...

Structure learning of Bayesian Networks (BNs) is an important topic in machine learning. Driven by modern applications in genetics and brain sciences, accurate and efficient learning of large-scale BN ...

A comprehensive collection of Data Structures and Algorithms implemented in C. Includes Linked Lists, Stacks, Queues, Trees, Graphs, Sorting & Searching algorithms with detailed explanations and code.