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Problems Title
Microsoft Project 2016 Step By Step

Microsoft Project 2016 Step By Step

The quick way to learn Microsoft Project 2016!

This is learning made easy. Get more done quickly with Project 2016. Jump in wherever you need answers brisk lessons and screenshots show you exactly what to do, step by step.
• Quickly start a new plan, build task lists and assign resources
• Share your plan and track your progress
• Capture and fine-tune work and cost details
• Use Gantt charts and other views and reports to visualize project schedules
• Share resources across multiple plans and consolidate projects
• Master project management best practices while you learn Project
• Look up just the tasks and lessons you need

Introduction
Part 1: Get started with Microsoft Project

1. Project, project management and you
2. Take a guided tour
Part 2: Simple scheduling basics
3. Start a new plan
4. Build a task list
5. Set up resources
6. Assign resources tasks
7. Format and share your plan
8. Track progress: Basic techniques
Part 3: Advanced scheduling techniques
9. Fine-tune task scheduling
10. Fine-tune task details
11. Fine-tune resource and assignment details
12. Fine-tune the Project plan
13. Organize plan details
14. Track progress: Detailed techniques
15. View and report project status
Part 4: In-depth and special subjects
16. Format and print views: In-depth techniques
17. Format reports: In-depth techniques
18. Customize Project
19. Share information with other programs
20. Consolidate projects and resources

Windows 10 Step By Step

Windows 10 Step By Step

Introduction. part 1: The Windows 10 environment 1. Get started using Windows 10 2. Br>personalize your working environment 3. Manage folders and files 4. Work with apps and notifications 5. Safely and efficiently browse the Internet Part 2: devices and resources 6. Manage peripheral devices 7. Manage network and storage resources 8. Manage user accounts and settings. 9. Manage computer settings 10. Manage power and access options 11. Work more efficiently 12. Protect your computer and data.

Excel 2013 Charts and Graphs, 1e

Excel 2013 Charts and Graphs, 1e

Use Excel 2013's radically revamped charting and graphing tools to communicate more clearly, powerfully and quickly & hellip so you drive your message home and get the decisions and actions you're looking for! This book reveals data visualization techniques you won't find anywhere else and shows you how to use Excel 2013 to create designer-quality charts and graphs that stand out from the crowd. It will help you make the most of new features ranging from Power View to Recommended Charts and instantly share your insights with anyone, anywhere-even on the Web and social networks. Learning advanced Excel techniques has never been easier. You'll find simple, step-by-step instructions, real-world examples and case studies and more than a dozen YouTube videos, straight from MrExcel!

Machine Learning with R - Second Edition

Machine Learning with R - Second Edition

Build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R About This Book * Harness the power of R for statistical computing and data science * Explore, forecast, and classify data with R * Use R to apply common machine learning algorithms to real-world scenarios Who This Book Is For Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required. What You Will Learn * Harness the power of R to build common machine learning algorithms with real-world data science applications * Get to grips with techniques in R to clean and prepare your data for analysis and visualize your results * Discover the different types of machine learning models and learn what is best to meet your data needs and solve data analysis problems * Classify your data with Bayesian and nearest neighbour methods * Predict values using R to build decision trees, rules, and support vector machines * Forecast numeric values with linear regression and model your data with neural networks * Evaluate and improve the performance of machine learning models * Learn specialized machine learning techniques for text mining, social network data, and big data In Detail Machine learning, at its core, is concerned with transforming data into actionable knowledge. This makes machine learning well suited to the present-day era of big data. Given the growing prominence of R's cross-platform, zero-cost statistical programming environment, there has never been a better time to start applying machine learning to your data. Machine learning with R offers a powerful set of methods to quickly and easily gain insight from your data to both, veterans and beginners in data analytics. Want to turn your data into actionable knowledge, predict outcomes that make real impact, and have constantly developing insights? R gives you access to all the power you need to master exceptional machine learning techniques. The second edition of Machine Learning with R provides you with an introduction to the essential skills required in data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with minimal previous experience. With this book, you'll discover all the analytical tools you need to gain insights from complex data and learn to to choose the correct algorithm for your specific needs. Through full engagement with the sort of real-world problems data-wranglers face, you'll learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering. Transform the way you think about data; discover machine learning with R. Style and approach How can we use machine learning to transform data into action? This book uses a series of simple steps to show you. Using practical examples, the book illustrates how to prepare data for analysis, choose a machine learning method, and measure its success

Object Oriented Programming with C++

Object Oriented Programming with C++

Object Oriented Programming With C++ by Reema Thareja, Oxford University Press, 2015, Paperback, 9780199459636

Idea

R for Everyone: Advanced Analytics and Graphics

Using the free, open source R language, scientists, financial analysts, public policy professionals and programmers can build powerful statistical models capable of answering many of their most challenging questions. But, for non-statisticians, R can be difficult to learn-and most books on the subject assume far too much knowledge to help the non-statistician. R for Everyone is the solution. Drawing on his extensive experience teaching new users through the New York City R User Group, professional statistician Jared Lander has written the perfect R tutorial for everyone who's new to statistical programming and modeling.

Mastering Node.js -

Mastering Node.js -

Expert techniques for building fast servers and scalable, real-time network applications with minimal effort; rewritten for Node.js 8 and Node.js 9 About This Book * Packed with practical examples and explanations, Mastering Node.js contains everything you need to take your applications to the next level. * Unleash the full potential of Node.js 9 to build real-time and scalable applications. * Gain in-depth knowledge of asynchronous programming, event loops, and parallel data processing. * Explore Node's innovative event-non-blocking design, and build professional applications with the help of detailed examples. Who This Book Is For This book is targeted at JavaScript developers who want to take an in-depth look at the latest Node.js framework to create faster, scalable, real-time backend applications. Basic JavaScript programming knowledge-and also some previous Node.js development experience-are mandatory to get the best out of this book What You Will Learn * Build an Electron desktop app using Node that manages a filesystem * Explore Streams and understand how they apply to building networked services * Develop and deploy an SMS-driven customer service application * Use WebSockets for rapid bi-directional communication * Construct serverless applications with Amazon Lambda * Test and debug with headless browsers, CPU profiling, Mocha, Sinon, and more * Scale applications vertically and horizontally across multiple cores and web services In Detail Node.js, a modern development environment that enables developers to write server- and client-side code with JavaScript, thus becoming a popular choice among developers. This book covers the features of Node that are especially helpful to developers creating highly concurrent real-time applications. It takes you on a tour of Node's innovative event non-blocking design, showing you how to build professional applications. This edition has been updated to cover the latest features of Node 9 and ES6. All code examples and demo applications have been completely rewritten using the latest techniques, introducing Promises, functional programming, async/await, and other cutting-edge patterns for writing JavaScript code. Learn how to use microservices to simplify the design and composition of distributed systems. From building serverless cloud functions to native C++ plugins, from chatbots to massively scalable SMS-driven applications, you'll be prepared for building the next generation of distributed software. By the end of this book, you'll be building better Node applications more quickly, with less code and more power, and know how to run them at scale in production environments. Style and approach Mastering Node.js contains all of the examples and explanations you'll need to build applications in a short amount of time and at a low cost, running rapidly and at scale.

Programming in Scala, 3rd Edition

Programming in Scala, 3rd Edition

The much anticipated third edition of Programming in Scala is now available! This book is the authoritative tutorial on the Scala programming language, co-written by the language’s designer Martin Odersky. The Scala language, which blends object-oriented and functional programming concepts, has been exploding in popularity in recent years. This book is a comprehensive, step-by-step guide to learning Scala. If you’re a programmer wanting to do your next software project in Scala, looking to expand your horizons by learning new concepts, or currently using Java and want to expand your knowledge of functional programming—or all of the above—then this book is for you.The third edition has been updated to cover new features up to and including Scala version 2.12, such as String interpolation; Futures and concurrency, including new methods added in 2.12 and asynchronous testing with Futures in ScalaTest 3.0; wildcard types; new recommendations for writing hashCode; the close integration of Scala 2.12 and Java 8, most significantly the new ability to use function literals to express instances of SAM types; the latest recommendations for Scala coding style; implicit classes;creating your own AnyVals; the context bounds syntax for type classes; and more.

Artificial Intelligence with Python

Artificial Intelligence with Python

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book * Step into the amazing world of intelligent apps using this comprehensive guide * Enter the world of Artificial Intelligence, explore it, and create your own applications * Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn * Realize different classification and regression techniques * Understand the concept of clustering and how to use it to automatically segment data * See how to build an intelligent recommender system * Understand logic programming and how to use it * Build automatic speech recognition systems * Understand the basics of heuristic search and genetic programming * Develop games using Artificial Intelligence * Learn how reinforcement learning works * Discover how to build intelligent applications centered on images, text, and time series data * See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

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