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  • Sách/Book

  • Agile web development with rails

    • Authors: Sam Ruby (2009)

  • With this book, you'll learn how to use ActiveRecord to connect business objects and database tables. No more painful object-relational mapping. Just create your business objects and let Rails do the rest. Need to create and modify your schema? Migrations make it painless (and they're versioned, so you can roll changes backward and forward). You'll learn how to use the Action Pack framework to route incoming requests and render pages using easy-to-write templates and components. See how to exploit the Rails service frameworks to send emails, implement web services, and create dynamic, user-centric web-pages using built-in Javascript and Ajax support. There is extensive coverage of testing, and the rewritten Deployment chapter now covers Phusion Passenger.
  • Sách/Book

  • Computing and the National Science Foundation, 1950-2016:

    • Authors: A. Freeman, Peter (2019)

  • The book traces how NSF's support has provided facilities and education for computing usage by all scientific disciplines, aided in institution and professional community building, supported fundamental research in computer science and allied disciplines, and led the efforts to broaden participation in computing by all segments of society.
  • Sách/Book

  • Computer Networks

    • Authors: Ivan Marsic (2010)

  • This book reviews modern computer networks with a particular focus on performance and quality of service. There is a need to look towards future, where wired and wireless/mobile networks will be mixed and where multimedia applications will play greater role. In reviewing these technologies, the author puts emphasis on underlying principles and core concepts, rather than meticulousness or completeness
  • Sách/Book

  • A First Course in Linear Algebra

    • Authors: Robert A. Beezer (2012)

  • A First Course in Linear Algebra is an introduction to the basic concepts of linear algebra, along with an introduction to the techniques of formal mathematics. It begins with systems of equations and matrix algebra before moving into the theory of abstract vector spaces, eigenvalues, linear transformations and matrix representations. It has numerous worked examples and exercises, along with precise statements of definitions and complete proofs of every theorem, making it ideal for independent study.
  • Sách/Book

  • Python for data analysis

    • Authors: Wes McKinney (2013)

  • Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems.
  • Sách/Book

  • Concurrency: The Worksof Leslie Lamport

    • Authors: - (2019)

  • This book is a celebration of Leslie Lamport's work on concurrency, interwoven in four-and-a-half decades of an evolving industry: from the introduction of the first personal computer to an era when parallel and distributed multiprocessors are abundant.
  • Sách/Book

  • Conversational UX Design

    • Authors: J. Moore, Robert (2019)

  • This book adapts formal knowledge from the field of Conversation Analysis (CA) to the design of natural language interfaces. It outlines the Natural Conversation Framework (NCF), developed at IBM Research, a systematic framework for designing interfaces that work like natural conversation
  • Sách/Book

  • Grokking deep learning

    • Authors: Andrew W. Trask (2019)

  • Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks.
  • Sách/Book

  • The Sparse Fourier Transform

    • Authors: Hassanieh, Haitham (2018)

  • The Sparse Fourier Transform: Theory and Practice book shows how to address the above problem by developing the Sparse Fourier Transform algorithms and building practical systems that use these algorithms to solve key problems in six different applications.
  • Sách/Book

  • A concise course in algebraic topology

    • Authors: J.P. May (1999)

  • Algebraic topology is a basic part of modern mathematics, and some knowledge of this area is indispensable for any advanced work relating to geometry, including topology itself, differential geometry, algebraic geometry, and Lie groups. This book provides a detailed treatment of algebraic topology both for teachers of the subject and for advanced graduate students in mathematics either specializing in this area or continuing on to other fields.