Beginning R 4Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data).
Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling.
Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and ...
Essential Excel 2019, 2nd EditionCreate, edit, sort, analyze, summarize, and format data as well as graph it in Excel 2019. Chock full of visuals, user-friendly instructions, and reader exercises, this in-depth guide makes it easy for you to get on the bandwagon taking advantage of this powerful software and what it can do. Essential Excel 2019 doesn't mess around. It provides the most clear and concise, but complete, information you need to successfully use the expansive features of Excel in your work environment.
The second edition of this soup-to-nuts book delivers essential how-to and reference information for users who are new to Excel, those who want to continue building their Excel skills, or anyone who wants to get up to speed on the latest changes and features in Excel 2019. It is heavy on the practical examples and light on the theory, providing a step-by-step process of what you need to do when you are working with Excel. You will begin with the basics, advancing as each chapter builds on knowledge from ...
Pro iOS TestingDiscover what tools there are for unit testing in iOS, and how to work in a test-driven environment. This book reveals how testing is a crucial capability in any iOS developer's toolset, and a minimum requirement in iOS interviews.
A few years ago, tests on mobile platforms were not very popular. It wasn't a technical constraint, more a cultural one. But these days it's a crucial skill set, especially when projects become big and hard to maintain. This book shows you how to set up a testing target in XCode unit tests. You'll learn how to write unit tests properly and incorporate concepts like spies and mocks and code coverage. You'll also learn the philosophy behind the architecture of UI tests, and how to mock network and DB layers in testing. Write unbreakable UI tests performance tests, as well. And learn the difference between integration tests and snapshot testing.
This book will show you how to maintain code that's not only bug-free but will also remain high quality over time ...
Elementary AlgorithmsThis book introduces about elementary algorithms and data structure. It includes side-by-side comparison about purely functional realization and their imperative counterpart. ...
iOS 14 Programming Fundamentals with SwiftMove into iOS development by getting a firm grasp of its fundamentals, including the Xcode 12 IDE, Cocoa Touch, and the latest version of Apple's acclaimed programming language, Swift 5.3. With this thoroughly updated guide, you'll learn the Swift language, understand Apple's Xcode development tools, and discover the Cocoa framework.
Become familiar with built-in Swift types; Dive deep into Swift objects, protocols, and generics; Tour the life cycle of an Xcode project; Learn how nibs are loaded; Understand Cocoa's event-driven design; Communicate with C and Objective-C.
In this edition, catch up on the latest iOS programming features: Multiple trailing closures; Code editor document tabs; New Simulator features; Resources in Swift packages; Logging and testing improvements; And more! ...
Learning ServerlessWhether your company is considering serverless computing or has already made the decision to adopt this model, this practical book is for you. Author Jason Katzer shows early- and mid-career developers what's required to build and ship maintainable and scalable services using this model.
With this book, you'll learn how to build a modern production system in the cloud, viewed through the lens of serverless computing. You'll discover how serverless can free you from the tedious task of setting up and maintaining systems in production. You'll also explore new ways to level up your career and design, develop, and deploy with confidence.
In three parts, this book includes: The Path to Production: Examine the ins and outs of distributed systems, microservices, interfaces, and serverless architecture and patterns; The Tools: Dive into monitoring, observability and alerting, logging, pipelines, automation, and deployment; Concepts: Learn how to design security and privacy, how to manage ...
Practical AI on the Google Cloud PlatformWorking with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video.
Author Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application.
Learn key concepts for data science, machine learning, and deep learning; Explore tools like Video AI and AutoML Tables; Build a simple language processor using deep learning systems; Perform image recognition using CNNs, transfer learning, and GANs; U ...
Artificial Intelligence in FinanceThe widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.
Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book.
In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI); Understand why data-driven finance, AI, and machin ...
Head First Design Patterns, 2nd EditionYou know you don't want to reinvent the wheel, so you look to Design Patterns: the lessons learned by those who've faced the same software design problems. With Design Patterns, you get to take advantage of the best practices and experience of others so you can spend your time on something more challenging. Something more fun. This book shows you the patterns that matter, when to use them and why, how to apply them to your own designs, and the object-oriented design principles on which they're based. Join hundreds of thousands of developers who've improved their object-oriented design skills through Head First Design Patterns.
If you've read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. With Head First Design Patterns, 2nd Edition you'll learn design principles and patterns in a way that won't put you to sleep, so you can get out there to solve software design problems and speak the language of patterns with others on your ...
Pro Microsoft Power BI AdministrationManage Power BI within organizations. This book helps you systematize administration as Microsoft shifts Power BI from a self-service tool to an enterprise tool. You will learn best practices for many Power BI administrator tasks. And you will know how to manage artifacts such as reports, users, work spaces, apps, and gateways. The book also provides experience-based guidance on governance, licensing, and managing capacities.
Good management includes policies and procedures that can be applied consistently and even automatically across a broad user base. This book provides a strategic road map for the creation and implementation of policies and procedures that support Power BI best practices in enterprises. Effective governance depends not only on good policies, but also on the active and timely monitoring of adherence to those policies. This book helps you evaluate the tools to automate and simplify the most common administrative and monitoring tasks, freeing up administrators to ...