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  • Sách/Book

  • Artificial Intelligence : Foundations of Computational Agents

    • Authors: David L. Poole (2018)

  • The new edition also features expanded coverage on machine learning material, as well as on the social and ethical consequences of AI and ML. The book balances theory and experiment, showing how to link them together, and develops the science of AI together with its engineering applications.
  • Sách/Book

  • RapidMiner : Data Mining Use Cases and Business Analytics Applications

    • Authors: Markus Hofmann (2013)

  • Easily Implement Analytics Approaches Using RapidMiner and RapidAnalytics Each chapter describes an application, how to approach it with data mining methods, and how to implement it with RapidMiner and RapidAnalytics. These application-oriented chapters give you not only the necessary analytics to solve problems and tasks, but also reproducible, step-by-step descriptions of using RapidMiner and RapidAnalytics.
  • Sách/Book

  • Artificial Intelligence and Deep Learning in Pathology

    • Authors: Stanley Cohen (2021)

  • Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning.
  • Sách/Book

  • Artificial Intelligence Techniques for Satellite Image Analysis

    • Authors: D. Jude Hemanth (2021)

  • The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind
  • Sách/Book

  • Fundamentals of Research Methodology and Data Collection

    • Authors: Chinelo Igwenagu (2016)

  • The book is essential for student, scholars, Researchers, teachers and professionals in all fields of study where research is required for academic excellence. At the fundamental level, the basic knowledge and technique of carrying out research is very essential. The book Fundamentals of Research methodology and Data collection aims at providing necessary steps and guidelines to researchers and postgraduates who are more often faced with the challenges of how to start and what to do at a given stage. It serves as a textbook for both researchers at various levels of academic endeavors as well as a guide for supervisors supervising researcher at various levels.
  • Sách/Book

  • Data Structures and Algorithms Made Easy in Java

    • Authors: Narasimha Karumanchi (2011)

  • A handy guide of sorts for any computer Science professional, data structures and algorithms made easy in Java: data structure and algorithmic puzzles is a solution Bank for various complex problems related to data structures and algorithms.
  • Sách/Book

  • CMSC 451 Design and Analysis of Computer Algorithms

    • Authors: David M. Mount (2011)

  • The first will be a short review of some preliminary material, including asymptotics, summations, and recurrences and sorting. We will then discuss approaches to designing optimization algorithms, including dynamic programming and greedy algorithms.
  • Sách/Book

  • Digital analytics for marketing

    • Authors: Marshall Sponder (2018)

  • This comprehensive book provides students with a "grand tour" of the tools needed to measure digital activity and implement best practices for using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective.