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Deep Learning with TensorFlow
Explore neural networks with Python
2017
EN
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guideKey Features\[\*\] Learn how to implement advanced techniques in deep learning with Google’s brainchild, TensorFlow\[\*\] Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide\[\*\] Real-world contextualization through some deep learning problem...
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Programming
Principles and Practice Using C++
2014
EN
An Introduction to Programming by the Inventor of C++Preparation for Programming in the Real WorldThe book assumes that you aim eventually to write non-trivial programs, whether for work in software development or in some other technical field.Focus on Fundamental Concepts and TechniquesThe book explains fundamental concepts and techniques in greater depth than traditional introductions. This approach will give you a solid foundation for writing useful, corr...
Practical Reverse Engineering
x86, x64, ARM, Windows Kernel, Reversing Tools, and Obfuscation
2014
EN
Analyzing how hacks are done, so as to stop them in the futureReverse engineering is the process of analyzing hardware or software and understanding it, without having access to the source code or design documents. Hackers are able to reverse engineer systems and exploit what they find with scary results. Now the good guys can use the same tools to thwart these threats. Practical Reverse Engineering goes under the hood of reverse engineering for security a...
The Art of R Programming
A Tour of Statistical Software Design
2011
EN
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anon...
Beautiful Code
Leading Programmers Explain How They Think
2007
EN
How do the experts solve difficult problems in software development? In this unique and insightful book, leading computer scientists offer case studies that reveal how they found unusual, carefully designed solutions to high-profile projects. You will be able to look over the shoulder of major coding and design experts to see problems through their eyes.This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things....
Erlang Programming
A Concurrent Approach to Software Development
2009
EN
This book is an in-depth introduction to Erlang, a programming language ideal for any situation where concurrency, fault tolerance, and fast response is essential. Erlang is gaining widespread adoption with the advent of multi-core processors and their new scalable approach to concurrency. With this guide you'll learn how to write complex concurrent programs in Erlang, regardless of your programming background or experience.Written by leaders of the international Erlang community -...
R in a Nutshell
A Desktop Quick Reference
2012
EN
If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.Updated for R 2.14 and 2.15, this second edition includes...
Artificial Intelligence with Python
A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers
2017
EN
Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available. Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you. Key FeaturesStep int...
Essential System Administration
Tools and Techniques for Linux and Unix Administration
2002
EN
Essential System Administration,3rd Edition is the definitive guide for Unix system administration, covering all the fundamental and essential tasks required to run such divergent Unix systems as AIX, FreeBSD, HP-UX, Linux, Solaris, Tru64 and more. Essential System Administration provides a clear, concise, practical guide to the real-world issues that anyone responsible for a Unix system faces daily.The new edition of this indispensable reference has been fully updated fo...
Mapping with Drupal
Navigating Complexities to Create Beautiful and Engaging Maps
2011
EN
Build beautiful interactive maps on your Drupal website, and tell engaging visual stories with your data. This concise guide shows you how to create custom geographical maps from top to bottom, using Drupal 7 tools and out-of-the-box modules. You’ll learn how mapping works in Drupal, with examples on how to use intuitive interfaces to map local events, businesses, groups, and other custom data.Although building maps with Drupal can be tricky, this book helps you navigate the system...
2011
EN
Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers, handheld/embedded devices, high performance computing, and even cloud systems. This is the first comprehensive, authoritative, and practical guide to OpenCL 1.1 ...
Programming Massively Parallel Processors
A Hands-on Approach
2012
EN
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and G...











