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Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

The Art of War in the Network Age: Back to the Future (Information Systems, Web and Pervasive Computing Series: Intellectual Technologies Set)
The Art of War in the Network Age: Back to the Future (Information Systems, Web and Pervasive Computing Series: Intellectual Technologies Set)

Previous studies have looked at the contribution of information technology and network theory to the art of warfare as understood in the broader sense. This book, however, focuses on an area particularly important in understanding the significance of the information revolution; its impact on strategic theory. The purpose of the book is to...

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural...

Exploratory Multivariate Analysis by Example Using R (Chapman & Hall/CRC Computer Science & Data Analysis)
Exploratory Multivariate Analysis by Example Using R (Chapman & Hall/CRC Computer Science & Data Analysis)

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis...

Professional Python
Professional Python

Master the secret tools every Python programmer needs to know

Professional Python goes beyond the basics to teach beginner- and intermediate-level Python programmers the little-known tools and constructs that build concise, maintainable code. Design better architecture and write easy-to-understand code using highly...

MCSA Guide to Microsoft SQL Server 2012 (Exam 70-462) (Networking (Course Technology)): (Exam 70-462)
MCSA Guide to Microsoft SQL Server 2012 (Exam 70-462) (Networking (Course Technology)): (Exam 70-462)

MCSA GUIDE TO MICROSOFT SQL SERVER 2012 (Exam #70-462) provides a thorough introduction to essential database administration principles and practices to prepare readers for certification and career success. Ideal for formal courses, self-study, or professional reference, this detailed text employs a lab-based approach to help users develop...

Machine Learning Projects for .NET Developers
Machine Learning Projects for .NET Developers

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a...

Fundamentals of Mathematics
Fundamentals of Mathematics

The FUNDAMENTALS OF MATHEMATICS, Tenth Edition, offers a comprehensive and objectives-based review of all basic mathematics concepts. The author helps learners by addressing three important needs: 1) establishing good study habits and overcoming math anxiety, 2) making the connections between mathematics and their modern, day-to-day...

Data Structures and Algorithm Analysis in C++, Third Edition (Dover Books on Computer Science)
Data Structures and Algorithm Analysis in C++, Third Edition (Dover Books on Computer Science)
With its focus on creating efficient data structures and algorithms, this comprehensive text helps readers understand how to select or design the tools that will best solve specific problems. It uses Microsoft C++ as the programming language and is suitable for second-year data structure courses and computer science courses in...
MATLAB Linear Algebra
MATLAB Linear Algebra

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Switching to Angular 2
Switching to Angular 2

Key Features

  • Get up to date with the latest changes to Angular 2, including the improvements to directives, change detection, dependency injection, router, and more
  • Understand Angular 2's new component-based architecture
  • Start using TypeScript to supercharge your Angular 2...
Epistemology, Context, and Formalism (Synthese Library)
Epistemology, Context, and Formalism (Synthese Library)

The main purpose of the present volume is to advance our understanding of the notions of knowledge and context, the connections between them and the ways in which they can be modeled, in particular formalized – a question of prime importance and utmost relevance to such diverse disciplines as philosophy, linguistics, computer science...

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