Assessing and Improving Prediction and Classification

Title: Assessing and Improving Prediction and Classification: Theory and Algorithms in C++ Author: Timothy Masters Length: 517 pages Edition: 1st ed. Language: English Publisher: Apress Publication Date: 2017-12-20 ISBN-10: 1484233352 ISBN-13: 9781484233351

Data Mining Algorithms in C++

Title: Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications Author: Timothy Masters Length: 286 pages Edition: 1st ed. Language: English Publisher: Apress Publication Date: 2018-01-19 ISBN-10: 148423314X ISBN-13: 9781484233146

Deep Learning with Python

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

Pro C# 7: With .NET and .NET Core

This essential classic title provides a comprehensive foundation in the C# programming language and the frameworks it lives in. Now in its 8th edition, you’ll find all the very latest C# 7.1 and .NET 4.7 features here, along with four brand new chapters on Microsoft’s lightweight, cross-platform framework, .NET Core, up to and including .NET Core 2.0. Coverage of ASP.NET Core, Entity Framework (EF) Core, and more, sits alongside the latest updates to .NET, including Windows Presentation Foundation (WPF), Windows Communication Foundation (WCF), and ASP.NET MVC. Dive in and discover why Pro C# has been a favorite of C# developers worldwide for over 15 years. Gain a solid foundation in object-oriented development techniques, attributes and reflection, generics and collections as well as numerous advanced topics not found in other texts (such as CIL opcodes and emitting dynamic assemblies). With the help of this book you’ll have the confidence to put C# into practice and explore the .NET universe on your own terms. What You Will Learn Discover the latest C# 7.1 features, from tuples to pattern matching Hit the ground running with Microsoft’s lightweight, open source .NET Core platform, including ASP.NET Core MVC, ASP.NET Core web services, and Entity Framework Core Find complete coverage of XAML, .NET 4.7 and Visual Studio 2017 Understand the philosophy behind .NET and the new, cross-platform alternative, .NET Core Table of Contents Part I: Introducing C# and the .NET Platform Chapter 1: The Philosophy of .NET Chapter 2: Building C# Applications Part II: Core C# Programing Chapter 3: Core C# Programming Constructs, Part I Chapter 4: Core C# Programming Constructs, Part II Part III: Object-Oriented Programming with C# Chapter 5: Understanding Encapsulation Chapter 6: Understanding Inheritance and Polymorphism Chapter 7: Understanding Structured Exception Handling Chapter 8: Working with Interfaces Part IV: Advanced C# Programming Chapter 9: Collections and Generics Chapter 10: Delegates, Events, and Lambda Expressions Chapter 11: Advanced C# Language Features Chapter 12: LINQ to Objects Chapter 13: Understanding Object Lifetime Part V: Programming with .NET Assemblies Chapter 14: Building and Configuring Class Libraries Chapter 15: Type Reflection, Late Binding, and Attribute-Based Programming Chapter 16: Dynamic Types and the Dynamic Language Runtime Chapter 17: Processes, AppDomains, and Object Contexts Chapter 18: Understanding CIL and the Role of Dynamic Assemblies Part VI: Introducing the .NET Base Class Libraries Chapter 19: Multithreaded, Parallel, and Async Programming Chapter 20: File I/O and Object Serialization Chapter 21: Data Access with ADO.NET Chapter 22: Introducing Entity Framework 6 Chapter 23: Introducing Windows Communication Foundation Part VII: Windows Presentation Foundation Chapter 24: Introducing Windows Presentation Foundation and XAML Chapter 25: WPF Controls, Layouts, Events, and Data Binding Chapter 26: WPF Graphics Rendering Services Chapter 27: WPF Resources, Animations, Styles, and Templates Chapter 28: WPF Notifications, Validations, Commands, and MVVM Part VIII: ASP.NET Chapter 29: Introducing ASP.NET MVC Chapter 30: Introducing ASP.NET Web API Part IX: .NET CORE Chapter 31: The Philosophy of .NET Core Chapter 32: Introducing Entity Framework Core Chapter 33: Introducing ASP.NET Core Web Applications Chapter 34: Introducing ASP.NET Core Service Applications

Scala Succinctly

Description Learning a new programming language can be a daunting task, but Scala Succinctly makes it a simple matter. Author Chris Rose guides readers through the basics of Scala, from installation to syntax shorthand, so that they can get up and running quickly. Table of Contents Introduction Variables and Values Expressions and Functions Control Structures Arrays and Lists Other Collection Types Classes and Objects Pattern Matching Closures Conclusion

深度学习 中文版 【Mobi格式】

《深度学习》由全球知名的三位专家Ian Goodfellow、Yoshua Bengio 和Aaron Courville撰写，是深度学习领域奠基性的经典教材。全书的内容包括3个部分：第1部分介绍基本的数学工具和机器学习的概念，它们是深度学习的预备知识；第2部分系统深入地讲解现今已成熟的深度学习方法和技术；第3部分讨论某些具有前瞻性的方向和想法，它们被公认为是深度学习未来的研究重点。 《深度学习》适合各类读者阅读，包括相关专业的大学生或研究生，以及不具有机器学习或统计背景、但是想要快速补充深度学习知识，以便在实际产品或平台中应用的软件工程师。

Python for Data Analysis 【2017 第二版】

Title: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition Author: Wes McKinney Length: 550 pages Edition: 2 Language: English Publisher: O'Reilly Media Publication Date: 2017-09-25 ISBN-10: 1491957662 ISBN-13: 9781491957660 Table of Contents Chapter 1 Preliminaries Chapter 2 Python Language Basics, IPython, and Jupyter Notebooks Chapter 3 Built-in Data Structures, Functions, and Files Chapter 4 NumPy Basics: Arrays and Vectorized Computation Chapter 5 Getting Started with pandas Chapter 6 Data Loading, Storage, and File Formats Chapter 7 Data Cleaning and Preparation Chapter 8 Data Wrangling: Join, Combine, and Reshape Chapter 9 Plotting and Visualization Chapter 10 Data Aggregation and Group Operations Chapter 11 Interlude: Data Analysis Examples Chapter 12 Time Series Chapter 13 Advanced NumPy Chapter 14 Using Modeling Libraries with pandas Chapter 15 Examples Data Sets Appendix Advanced IPython and Jupyter

Clean C++ [Apress 2017]

Title: Clean C++: Sustainable Software Development Patterns and Best Practices with C++ 17 Author: Stephan Roth Length: 289 pages Edition: 1st ed. Language: English Publisher: Apress Publication Date: 2017-10-27 ISBN-10: 1484227921 ISBN-13: 9781484227923 Table of Contents Chapter 1: Introduction Chapter 2: Build a Safety Net Chapter 3: Be Principled Chapter 4: Basics of Clean C++ Chapter 5: Advanced Concepts of Modern C++ Chapter 6: Object Orientation Chapter 7: Functional Programming Chapter 8: Test-Driven Development Chapter 9: Design Patterns and Idioms Appendix A: Small UML Guide

MATLAB for Machine Learning

Title: MATLAB for Machine Learning Author: Giuseppe Ciaburro Length: 376 pages Edition: 1 Language: English Publisher: Packt Publishing Publication Date: 2017-09-06 ISBN-10: 1788398432 ISBN-13: 9781788398435 Table of Contents Chapter 1. Getting Started With Matlab Machine Learning Chapter 2. Importing And Organizing Data In Matlab Chapter 3. From Data To Knowledge Discovery Chapter 4. Finding Relationships Between Variables - Regression Techniques Chapter 5. Pattern Recognition Through Classification Algorithms Chapter 6. Identifying Groups Of Data Using Clustering Methods Chapter 7. Simulation Of Human Thinking - Artificial Neural Networks Chapter 8. Improving The Performance Of The Machine Learning Model - Dimensionality Reduction Chapter 9. Machine Learning In Practice

Boost C++ Application Development Cookbook, 2nd Edition, 2017

Title: Boost C++ Application Development Cookbook, 2nd Edition Author: Antony Polukhin Length: 463 pages Edition: 2nd Revised edition Language: English Publisher: Packt Publishing Publication Date: 2017-10-05 ISBN-10: 1787282244 ISBN-13: 9781787282247