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Introduction to Machine Learning with R
Introduction to Machine Learning with R

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods. Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning. Explore machine learning models, algorithms, and data training; Understand machine learning algorithms for supervised and unsupervised cases; Examine statistical concepts for designing data for use in models; Dive into linear regres ...
The Data-Driven Project Manager
The Data-Driven Project Manager

Discover solutions to common obstacles faced by project managers. Written as a business novel, the book is highly interactive, allowing readers to participate and consider options at each stage of a project. The book is based on years of experience, both through the author's research projects as well as his teaching lectures at business schools. The book tells the story of Emily Reed and her colleagues who are in charge of the management of a new tennis stadium project. The CEO of the company, Jacob Mitchell, is planning to install a new data-driven project management methodology as a decision support tool for all upcoming projects. He challenges Emily and her team to start a journey in exploring project data to fight against unexpected project obstacles. Data-driven project management is known in the academic literature as "dynamic scheduling" or "integrated project management and control." It is a project management methodology to plan, monitor, and control projects in progress ...
Beginning C# 7 Programming with Visual Studio 2017
Beginning C# 7 Programming with Visual Studio 2017

Beginning C# 7 Programming with Visual Studio 2017 is the beginner's ultimate guide to the world's most popular programming language. Whether you're new to programming entirely, or just new to C#, there has never been a better time to get started. The new C# 7 and Visual Studio 2017 updates feature a number of new tools and features that streamline the workflow, simplify the code, and make it easier than ever to build high-quality apps. This book walks you through everything you need to know, starting from the very basics, to have you programming in no time. You'll learn about variables, flow control, and object oriented programming, then move into Web and Windows programming as well as databases and XML. The companion website provides downloadable code examples, and practical Try It Out sections provide explicit, step-by-step instructions for writing your own useful, customizable code. C# 7 can be used to build Windows applications, program Windows 10, and write Web apps when used ...
Pocket CIO - The Guide to Successful IT Asset Management
Pocket CIO - The Guide to Successful IT Asset Management

This book is a detailed IT Asset Management (ITAM) guidebook with real-world templates that can be converted into working ITAM documents. It is a step-by-step IT Asset Management manual for the newbies as well as the seasoned ITAM veterans, providing a unique insight into asset management. It discusses how risk management has changed over time and the possible solutions needed to address the new normal. This book is your perfect guide to create holistic IT Asset Management and Software Asset Management programs that close the risk gaps, increases productivity and results in cost efficiencies. It allows the IT Asset Managers, Software Asset Managers, and/or the full ITAM program team to take a deep dive by using the templates offered in the guidebook. You will be aware of the specific roles and responsibilities for every aspect of IT Asset Management, Software Asset Management, and Software License Compliance Audit Response. By the end of this book, you will be well aware of what IT and ...
VMware Cross-Cloud Architecture
VMware Cross-Cloud Architecture

Over the past two decades, VMware vSphere has been known as the most trusted and reliable virtualization platform. VMware Cross-Cloud Architecture shows you how to design and configure Cross Cloud Architecture by using VMware Cloud Foundation and vRealize Suite with various use cases across private, public, and hybrid Cloud. This book takes you through everything from a basic understanding of virtualization to advanced aspects of storage and network virtualization, clustering, automation, and management. This book will be your guide to designing all aspects of Cloud. We start with the challenges faced by a traditional data center, define problem statements for you, and then brief you on respective solutions. Moving on, all kinds of virtualization and Cloud offerings from AWS and IBM Soft Layer are introduced and discussed in detail. Then, you'll learn how to design IT infrastructures for new and existing applications with a combination of Cloud Foundation, vRealize Suite, and vSp ...
Designing Across Senses
Designing Across Senses

Today we have the ability to connect speech, touch, haptic, and gestural interfaces into products that engage several human senses at once. This practical book explores examples from current designers and devices to describe how these products blend multiple interface modes together into a cohesive user experience. Authors Christine Park and John Alderman explain the basic principles behind multimodal interaction and introduce the tools you need to root your design in the ways our senses shape experience. This book also includes guides on process, design, and deliverables to help your team get started. The book covers several topics within multimodal design, including: New Human Factors - learn how human sensory abilities allow us to interact with technology and the physical world; New Technologies - explore some of the technologies that enable multimodal interactions, products, and capabilities; Multimodal Products - examine different categories of products and learn how they de ...
Database Reliability Engineering
Database Reliability Engineering

The infrastructure-as-code revolution in IT is also affecting database administration. With this practical book, developers, system administrators, and junior to mid-level DBAs will learn how the modern practice of site reliability engineering applies to the craft of database architecture and operations. Authors Laine Campbell and Charity Majors provide a framework for professionals looking to join the ranks of today's database reliability engineers (DBRE). You'll begin by exploring core operational concepts that DBREs need to master. Then you'll examine a wide range of database persistence options, including how to implement key technologies to provide resilient, scalable, and performant data storage and retrieval. With a firm foundation in database reliability engineering, you'll be ready to dive into the architecture and operations of any modern database. Service-level requirements and risk management; Building and evolving an architecture for operational visibility; Infrastru ...
Head First Agile
Head First Agile

Head First Agile is a complete guide to learning real-world agile ideas, practices, principles. In Head First Agile, you'll learn all about the ideas behind agile and the straightforward practices that drive it. You'll take deep dives into Scrum, XP, Lean, and Kanban, the most common real-world agile approaches today. You'll learn how to use agile to help your teams plan better, work better together, write better code, and improve as a team—because agile not only leads to great results, but agile teams say they also have a much better time at work. Head First Agile will help you get agile into your brain... and onto your team! This book also has everything you need to get certified, with 100% coverage of the PMI-ACP exam. Luckily, the most effective way to prepare for the exam is to get agile into your brain—so instead of cramming, you're learning. Based on the latest research in cognitive science and learning theory, Head First Agile uses a visually rich format to engage ...
Better Business Decisions from Data
Better Business Decisions from Data

Everyone encounters statistics on a daily basis. They are used in proposals, reports, requests, and advertisements, among others, to support assertions, opinions, and theories. Unless you're a trained statistician, it can be bewildering. What are the numbers really saying or not saying? Better Business Decisions from Data: Statistical Analysis for Professional Success provides the answers to these questions and more. It will show you how to use statistical data to improve small, every-day management judgments as well as major business decisions with potentially serious consequences. With the arrival of Big Data, statistical processing has taken on a new level of importance. Kenny lays a foundation for understanding the importance and value of Big Data, and then he shows how mined data can help you see your business in a new light and uncover opportunity. ...
Data Scientists at Work
Data Scientists at Work

Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Each of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. Data Scientists at Work parts the curtain on the interviewees' earliest data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their ha ...
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