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    A Programmer's Guide to Data Mining - Book Cover

    A Programmer’s Guide to Data Mining

    The Ancient Art of the Numerati

    Designed specifically for programmers, A Programmer’s Guide to Data Mining offers a practical introduction to essential data mining techniques. Through interactive exercises and clear explanations, you’ll gain the skills to leverage data for real-world applications. Recommended for: Programmers who want to expand their skillset and delve into the world of data mining. [...]

    Artificial Intelligence - Foundations of Computational Agents - Book Cover

    Artificial Intelligence

    Foundations of Computational Agents

    Written by professors David Poole and Alan Mackworth, this comprehensive textbook from Cambridge University Press, spanning over 680 pages,  presents artificial intelligence through the framework of designing intelligent computational agents. Recommended for: Undergraduate and graduate students studying AI Courses, computer science and related fields. Suitable for students with some programming background. Beginner [...]

    Foundations of Computation - Book Cover

    Foundations of Computation

    Foundations of Computation by Carol Critchlow and David Eck provides a thorough introduction to the theoretical foundations underlying computation and programming languages. The textbook is suitable for a one-semester course in theoretical computer science and can be used as either a standalone text or supplementary material.

    Open Data Structures - Pat Morin - Book Cover

    Open Data Structures

    An Introduction

    This textbook teaches classical open data structures like stacks, queues, priority queues, dictionaries, ordered dictionaries and graphs using Java code examples. It provides rigorous yet accessible explanations of algorithmic concepts and data structure implementations to serve as a reusable textbook enabling independent study. Detailed Overview The content covers basic algorithm analysis and [...]

    Understanding Machine Learning - Book Cover

    Understanding Machine Learning

    From Theory to Algorithms

    Discover the comprehensive textbook, 'Understanding Machine Learning,' covering the fundamentals, advanced topics, and practical insights into the field. Recommended for advanced undergraduates, graduates, and professionals in statistics, computer science, mathematics, and engineering.