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  • Sách/Book

  • The debatabase book : a must-have guide for successful debate

    • Authors: Robert Trapp (2009)

  • An invaluable resource for debaters, this book provides background, arguments and resources on over 125 debate topics in areas as diverse as business, science and technology, environment, politics, religion, culture and education. All topics have been updated and new topics added for this edition.
  • Sách/Book

  • Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

    • Authors: Tarek Amr (2020)

  • The book begins with an explanation of machine learning concepts and fundamentals, and strikes a balance between theoretical concepts and their applications. Each chapter covers a different set of algorithms, and shows you how to use them to solve real-life problems.
  • Sách/Book

  • Artificial Intelligence in a Throughput Model : Some Major Algorithms

    • Authors: Waymond Rodgers (2020)

  • This book provides an overview of the existing biometric technologies, decision-making algorithms and the growth opportunity in biometrics. The book proposes a throughput model, which draws on computer science, economics and psychology to model perceptual, informational sources, judgmental processes and decision choice algorithms
  • Sách/Book

  • Hands-On Gradient Boosting with XGBoost and scikit-learn

    • Authors: Corey Wade (2020)

  • The book introduces machine learning and XGBoost in scikit-learn before building up to the theory behind gradient boosting. You'll cover decision trees and analyze bagging in the machine learning context, learning hyperparameters that extend to XGBoost along the way. You'll build gradient boosting models from scratch and extend gradient boosting to big data while recognizing speed limitations using timers.
  • Sách/Book

  • Information Technology Project Management

    • Authors: Kathy Schwalbe (2015)

  • This book emphasizes the latest developments and skills to help you prepare for the Project Management Professional (PMP) or Certified Associate in Project Management (CAPM) exams. While this edition reflect content from the latest the PMBOK (R) Guide, it goes well beyond the Guide to provide a meaningful context for project management.
  • Sách/Book

  • Artificial intelligence.

    • Authors: Zhi-Hua Zhou (2018)

  • This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018. The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised learning, graph-based and semi-supervised learning, neural networks and deep learning, planning and optimization, AI applications.
  • Sách/Book

  • Python for R users : a data science approach

    • Authors: Ajay Ohri (2018)

  • The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations-complete with sample code-of R to Python and Python to R.