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  1. 48681
    Publicado 2017
    “…You can view more information about this proceeding and all of ACM#65533;s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl…”
    Libro electrónico
  2. 48682
    “…You can view more information about this proceeding and all of ACM#65533;s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl…”
    Libro electrónico
  3. 48683
    Publicado 2014
    “…A Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. …”
    Libro electrónico
  4. 48684
    “…You can view more information about this proceeding and all of ACM#65533;s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl…”
    Libro electrónico
  5. 48685
    Publicado 2017
    “…. -- Source other than Library of Congress…”
    Libro
  6. 48686
    Publicado 2018
    “…The book begins by guiding you through setting up your machine learning environment with Go libraries and capabilities. You will then plunge into regression analysis of a real-life house pricing dataset and build a classification model in Go to classify emails as spam or ham. …”
    Libro electrónico
  7. 48687
    Publicado 2017
    “…Python is a multi-domain, high-level, programming language that offers a range of tools and libraries suitable for all purposes, it has slowly evolved as one of the primary languages for data science. …”
    Libro electrónico
  8. 48688
    Publicado 2016
    “…Master the fundamentals of C++ and object-oriented programming Understand how C++ features help you write compact and efficient code using concepts such as lambda expressions, move constructors, and assignment operators Learn best practices and avoid pitfalls via useful Do’s and Don’ts Learn the Standard Template Library, including containers and algorithms used in most real-world C++ applications Test your knowledge and expertise with exercises at the end of every lesson Learn on your own time, at your own pace No previous programming experience required Write fast and powerful C++ programs, compile the source code, and create executable files Learn object-oriented programming concepts such as encapsulation, abstraction, inheritance, and polymorphism Use the Standard Template Library’s algorithms and containers to write feature-rich yet stable C++ applications Learn how automatic type deduction helps simplify C++ code Develop sophisticated programming techniques using lambda expressions, smart pointers, and move constructors Master the features of C++ by learning from programming experts Learn C++ features that allow you to program compact and high-performance C++ applications Preview what’s new in C++17 Contents at a Glance Part I: The Basics Lesson 1: Getting Started Lesson 2: The Anatomy of a C++ Program Lesson 3: Using Variables, Declaring Constants Lesson 4: Managing Arrays and Strings Lesson 5: Working with Expressions, Statements, and Operators Lesson 6: Controlling Program Flow Lesson 7: Organizing Code with Functions Lesson 8: Pointers and References Explained Part II: Fundamentals of Object-Oriented C++ Programming Lesson 9: Classes and Objects Lesson 10: Implementing Inheritance Lesson 11: Polymorphism Lesson 12: Operator Types and Operator Overloading Lesson 13: Casting Operators Lesson 14: An Introduction to Macros and Templates Part III: Learning the Standard Template Library (STL) Lesson 15: An Introduction to the Standard Template Library Lesson 16: The STL String Class Lesson 17: STL Dynamic Arra..…”
    Libro electrónico
  9. 48689
    Publicado 2019
    “…"Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn Key Features Exploit the power of Python to explore the world of data mining and data analytics Discover machine learning algorithms to solve complex challenges faced by data scientists today Use Python libraries such as TensorFlow and Keras to create smart cognitive actions for your projects Book Description The surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. …”
    Libro electrónico
  10. 48690
    Publicado 2015
    “…Agents from beginners to seasoned veterans will benefit from Python's simplicity and sophistication. The standard library provides numerous packages that move beyond simple beginner missions. …”
    Libro electrónico
  11. 48691
    Publicado 2015
    “…"CCNP Routing and Switching v2.0 Complete Video Course Library combines three comprehensive training courses in one value priced library that brings Cisco CCNP R&S v2.0 exam topics to life through the use of real-world demonstrations, animations, live instruction, and configurations, making learning these foundational networking topics easy and fun. …”
    Vídeo online
  12. 48692
    Publicado 2015
    “…The book will start by explaining Python's Virtualenv library and how to create and switch between multiple virtual environments. …”
    Libro electrónico
  13. 48693
    Publicado 2023
    “…Starting with the different versions of MXNet, this book helps you choose the optimal version for your use and install your library. You'll work with MXNet/Gluon libraries to solve classification and regression problems and gain insights into their inner workings. …”
    Libro electrónico
  14. 48694
    Publicado 2019
    “…Design interactive graphics and visuals for your data-driven applications using the popular open-source Chart.js data visualization library. Key Features Harness the power of JavaScript, HTML, and CSS to create interactive visualizations Display quantitative information efficiently in the form of attractive charts by using Chart.js A practical guide for creating data-driven applications using open-source JavaScript library Book Description Chart.js is a free, open-source data visualization library, maintained by an active community of developers in GitHub, where it rates as the second most popular data visualization library. …”
    Libro electrónico
  15. 48695
    Publicado 1999
    “…It is a little documented field, however, and the many valuable free libraries and tools available on the Internet remain under-utilized. …”
    Libro electrónico
  16. 48696
    Publicado 2005
    “…But, to use the Commons libraries effectively, you need far more guidance than the official documentation offers. …”
    Libro electrónico
  17. 48697
    Publicado 2015
    “…Readers are expected to be familiar with OpenCV's concepts and Python libraries. Basic knowledge of Python programming is expected and assumed. …”
    Libro electrónico
  18. 48698
    Publicado 2007
    “…Now part of the OpenGL Technical Library–The official knowledge resource for OpenGL developers The OpenGL Technical Library provides tutorial and reference books for OpenGL. …”
    Libro electrónico
  19. 48699
    Publicado 2013
    “…SCLM is a source library management component of ISPF that provides change control, multiple source versions, auditing, a built-in make facility, and automatic check-in/sign-out using standard libraries (PDS and partitio..…”
    Libro electrónico
  20. 48700
    Publicado 2018
    “…Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in the field by covering the most-used datasets and libraries to help you build practical machine learning systems. …”
    Libro electrónico