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Results 931-940 of 1718 (Search time: 0.305 seconds).
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  • Sách/Book

  • Introduction to Artificial Intelligence

    • Authors: Wolfgang Ertel (2017)

  • This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning.
  • Sách/Book

  • Socialising

    • Authors: David King (2005)

  • Aims to help learners of Business English to develop the skills and language needed to establish and build effective social relationships with business partners.
  • Sách/Book

  • Database systems : design, implementation, and management

    • Authors: Carlos Coronel (2015)

  • This book gives readers a solid foundation in database design and implementation. Filled with visual aids such as diagrams, illustrations, and tables, this market-leading book provides in-depth coverage of database design, demonstrating that the key to successful database implementation is in proper design of databases to fit within a larger strategic view of the data environment.
  • Sách/Book

  • Data structures and algorithms with object-oriented design patterns in C++

    • Authors: Bruno R. Preiss (1999)

  • An object-oriented learning framework for creating good software design. Bruno Preiss presents readers with a modern, object-oriented perspective for looking at data structures and algorithms, clearly showing how to use polymorphism and inheritance, and including fragments from working and tested programs.
  • Sách/Book

  • Deep Learning for Natural Language Processing Jason Brownlee

    • Authors: Brownlee, Jason (2018)

  • This book was designed to teach you step-by-step how to bring modern deep learning methods to your natural language processing projects. You will be led along the critical path from a practitioner interested in natural language processing, to a practitioner that can confidently apply deep learning methods to natural language processing problems.
  • Sách/Book

  • Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results

    • Authors: Marr, Bernard (2016)

  • From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario.
  • Sách/Book

  • An introduction to object-oriented programming with Java

    • Authors: C. Thomas Wu (2010)

  • An Introduction to Object-Oriented Programming with Java takes a full-immersion approach to object-oriented programming. Proper object-oriented design practices are emphasized throughout the book. Students learn how to use the standard classes first, then learn to design their own classes.