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Data Science for Business

What You Need to Know about Data Mining and Data-Analytic Thinking

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

This guide also helps you understand the many data-mining techniques in use today.

Getting Started with the Internet of Things

Connecting Sensors and Microcontrollers to the Cloud

What is the Internet of Things? It's billions of embedded computers, sensors, and actuators all connected online. If you have basic programming skills, you can use these powerful little devices to create a variety of useful systems—such as a device that waters plants when the soil becomes dry. This hands-on guide shows you how to start building your own fun and fascinating projects. Learn to program embedded devices using the .NET Micro Framework and the Netduino Plus board. Then connect your devices to the Internet with Pachube, a cloud platform for sharing real-time sensor data. All you need is a Netduino Plus, a USB cable, a couple of sensors, an Ethernet connection to the Internet—and your imagination. Develop programs with simple outputs (actuators) and inputs (sensors) Learn about the Internet of Things and the Web of Things Build client programs that push sensor readings from a device to a web service Create server programs that allow you to control a device over the Web Get the .NET classes and methods needed to implement all of the book's examples

This hands-on guide shows you how to start building your own fun and fascinating projects. Learn to program embedded devices using the .NET Micro Framework and the Netduino Plus board.

Android Developer Tools Essentials

Android Studio to Zipalign

Android development can be challenging, but through the effective use of Android Developer Tools (ADT), you can make the process easier and improve the quality of your code. This concise guide demonstrates how to build apps with ADT for a device family that features several screen sizes, different hardware capabilities, and a varying number of resources. With examples in Windows, Linux, and Mac OS X, you’ll learn how to set up an Android development environment and use ADT with the Eclipse IDE. Also, contributor Donn Felker introduces Android Studio, a Google IDE that will eventually replace Eclipse. Learn how to use Eclipse and ADT together to develop Android code Create emulators of various sizes and configurations to test your code Master Eclipse tools, or explore the new Android Studio Use Logcat, Lint, and other ADT tools to test and debug your code Simulate real-world events, including location, sensors, and telephony Create dynamic and efficient UIs, using Graphical Layout tools Monitor and optimize you application performance using DDMS, HierarchyViewer, and the Android Monitor tool Use Wizards and shortcuts to generate code and image assets Compile and package Android code with Ant and Gradle

This concise guide demonstrates how to build apps with ADT for a device family that features several screen sizes, different hardware capabilities, and a varying number of resources.

Building Web, Cloud, and Mobile Solutions with F#

Shows how to use F# to build ASP.NET MVC 4 web applications, services that run on Windows Azure, and end-to-end web stacks with WebSharper and Pit frameworks.

Shows how to use F# to build ASP.NET MVC 4 web applications, services that run on Windows Azure, and end-to-end web stacks with WebSharper and Pit frameworks.

Building a Windows IT Infrastructure in the Cloud

Summary: The purpose of this book is to walk a person with basic IT experience through the process of creating a virtual corporate infrastructure using the Amazon Web Services (AWS). This book is intended for people with a basic understanding of networking, email, and the web.

Summary: The purpose of this book is to walk a person with basic IT experience through the process of creating a virtual corporate infrastructure using the Amazon Web Services (AWS).

Data Science on the Google Cloud Platform

Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. You’ll learn how to: Automate and schedule data ingest, using an App Engine application Create and populate a dashboard in Google Data Studio Build a real-time analysis pipeline to carry out streaming analytics Conduct interactive data exploration with Google BigQuery Create a Bayesian model on a Cloud Dataproc cluster Build a logistic regression machine-learning model with Spark Compute time-aggregate features with a Cloud Dataflow pipeline Create a high-performing prediction model with TensorFlow Use your deployed model as a microservice you can access from both batch and real-time pipelines

This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP.

Photoshop CS3 Photo Effects Cookbook

Whether you're just getting getting into Photoshop or have been using it for a while, you know that it's a many-faceted application that can be somewhat overwhelming to master. With 53 easy-to-follow recipes, Photoshop CS3 Photo Effects Cookbook shows you how to use Photoshop CS3 to simulate classic camera and darkroom techniques and special effects--without making you first learn Photoshop inside and out. The book covers: Using the improved Vanishing Point, Lens Blur, and Black & White filters Creating graphic art effects: posterization, watercolor, pen and ink Working with lighting effects: neon glows, lens flares, fire and flame effects Simulating natural phenomena: rain, snow, and lightning Adapting traditional techniques: film grain, contrast masks, hand-tinting, cross-processing Adding motion blurs and other special effects Assembling multi-layered images and photomontages Packed with hundreds of full-color images, step-by-step instructions, and many practical tips, this book-and Adobe Photoshop CS3- are all you need to create professional graphic art effects from almost any image source.

Photoshop CS3 RAW

Transforming Your RAW Data Into Works of Art

Describes how to create digital images using Photoshop CS3, Adobe Bridge 2.0, and Camera Raw 4.

Visual Basic 2005 Jumpstart

Make Your Move Now from VB6 to VB 2005

Okay, all you VB6 developers--time's up. As of March 2005, Microsoft no longer supports this version of Visual Basic. And you can't blame them. Three years ago, they introduced the .NET Framework--an elegant, powerful platform--along with the new component-based VB.NET language. But roughly five million of you decided to stick with VB6, mostly to maintain legacy Windows and COM projects. Now, with the upcoming release of VB 2005, Microsoft has several attractive reasons to upgrade that you'll find hard to resist, including the return of some VB6 features. And we have the perfect book to help you make the conversion: Visual Basic 2005 Jumpstart. Now, you can test-drive the beta version of VB 2005 with three hands-on projects that enable you to learn the syntax of this new language quickly. VB 2005 not only lets you convert the bulk of your existing VB6 code, but offers several familiar features, such as compile-and-run debugging, new MyClasses that simplify use of .NET libraries and frameworks, lots of IDE support for Windows, web and mobile GUI development, and data access controls that closely resemble what you use now. The real plus is that you'll be using these features with the .NET platform, which is more secure, less complex than COM, and offers OneClick deployment. Visual Basic 2005 Jumpstart lets you get the feel of this platform for building smart/rich Windows Forms clients, ASP.NET web applications, and web services. Author Wei-Meng Lee, a Microsoft .NET MVP, veteran O'Reilly author and frequent contributor to the O'Reilly Network, has put together three useful test-drive projects, complete with code samples, that let you develop: A personal library Windows application A Web-based shopping cart application A stock enquiry Web Service Our jumpstart guide is the quick, painless way to migrate from VB6 to VB 2005, and the perfect training manual for moving your organization to the more robust, dynamic and secure world of .NET.

And we have the perfect book to help you make the conversion: Visual Basic 2005 Jumpstart. Now, you can test-drive the beta version of VB 2005 with three hands-on projects that enable you to learn the syntax of this new language quickly.

Microsoft® Visual Basic® .NET Language Reference

Here’s official documentation for the Visual Basic® .NET language, including descriptions of all language elements from A to Z. This LANGUAGE REFERENCE is taken from the electronic product documentation for Visual Basic .NET. In its printed form, this material is portable, easy to use, and easy to browse—a comprehensive alternative to the substantial online help system in Visual Basic .NET Standard software. Get the details you need on language and run-time elements, including: Attributes Constants and enumerations Data types Directives Functions Keywords Methods Objects Operators Properties Statements

Here’s official documentation for the Visual Basic® .NET language, including descriptions of all language elements from A to Z. This LANGUAGE REFERENCE is taken from the electronic product documentation for Visual Basic .NET.