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  • Sách/Book


  • Authors: Brock J. LaMeres (2019)

  • This textbook provides a starter’s guide to VHDL. This book can be used in conjunction with a one-semester course in Digital Systems Design or on its own for designers who only need an introduction to the language. This book is designed to provide a bottoms-up approach to learning the VHDL language. This design supports a course in which foundational knowledge is covered before moving into advanced topics. However, this design also supports use as a reference manual. The author has designed the presentation with learning goals and assessment at its core. Each section addresses a specific learning outcome that the student should be able to "do" after its completion. The concept checks and exercise problems provide a rich set of assessment tools to measure student performance on each ...

  • Sách/Book


  • Authors: Brock J. LaMeres (2019)

  • This book is designed to match the way the material is actually taught in the classroom. Topics are presented in a manner which builds foundational knowledge before moving onto advanced topics. The author has designed the presentation with learning goals and assessment at its core. Each section addresses a specific learning outcome that the student should be able to “do” after its completion. The concept checks and exercise problems provide a rich set of assessment tools to measure student performance on each outcome.

  • Sách/Book


  • 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


  • 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


  • 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


  • 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


  • 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


  • 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


  • 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


  • Authors: Michael Kifer (2018)

  • The goal of this book is to help fill in the void in the literature with state-of-the-art surveys on key aspects of LP. Much attention was paid to making these surveys accessible to researchers, practitioners, and graduate students alike.