Видавець: 16
Mastering Tableau. Smart Business Intelligence techniques to get maximum insights from your data
Jen Stirrup, David Baldwin
Tableau has emerged as one of the most popular Business Intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. This book will empower you to become a master in Tableau by exploiting the many new features introduced in Tableau 10.0.You will embark on this exciting journey by getting to know the valuable methods of utilizing advanced calculations to solve complex problems. These techniques include creative use of different types of calculations such as row-level, aggregate-level, and more. You will discover how almost any data visualization challenge can be met in Tableau by getting a proper understanding of the tool’s inner workings and creatively exploring possibilities. You’ll be armed with an arsenal of advanced chart types and techniques to enable you to efficiently and engagingly present information to a variety of audiences through the use of clear, efficient, and engaging dashboards. Explanations and examples of efficient and inefficient visualization techniques, well-designed and poorly designed dashboards, and compromise options when Tableau consumers will not embrace data visualization will build on your understanding of Tableau and how to use it efficiently.By the end of the book, you will be equipped with all the information you need to create effective dashboards and data visualization solutions using Tableau.
Armando Fandango
TensorFlow is the most popular numerical computation library built from the ground up for distributed, cloud, and mobile environments. TensorFlow represents the data as tensors and the computation as graphs.This book is a comprehensive guide that lets you explore the advanced features of TensorFlow 1.x. Gain insight into TensorFlow Core, Keras, TF Estimators, TFLearn, TF Slim, Pretty Tensor, and Sonnet. Leverage the power of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Throughout the book, you will obtain hands-on experience with varied datasets, such as MNIST, CIFAR-10, PTB, text8, and COCO-Images.You will learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF Clusters, deploy production models with TensorFlow Serving, and build and deploy TensorFlow models for mobile and embedded devices on Android and iOS platforms. You will see how to call TensorFlow and Keras API within the R statistical software, and learn the required techniques for debugging when the TensorFlow API-based code does not work as expected.The book helps you obtain in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems. By the end of this guide, you will have mastered the offerings of TensorFlow and Keras, and gained the skills you need to build smarter, faster, and efficient machine learning and deep learning systems.
Mark Tinderholt, Armon Dadgar
As cloud technology and automation evolve, managing infrastructure as code, integrating security, and handling microservices complexity have become critical challenges. This book takes a hands-on approach to teaching Terraform, helping you build efficient cloud infrastructure using real-world scenarios and best practices.It begins with an introduction to Terraform's architecture, covering its command-line interface and HashiCorp Configuration Language. You’ll learn best practices, architectural patterns, and how to implement Terraform across virtual machines, Docker/Kubernetes, serverless environments, and cloud platforms like AWS, Azure, and GCP. The book also covers integrating Terraform into CI/CD pipelines with other technologies to automate infrastructure provisioning and management.Additional chapters focus on security, monitoring, troubleshooting, and cost optimization. You'll also gain insights into preparing for the Terraform Associate certification. By the end, you’ll have the skills to build, automate, and manage cloud infrastructure effectively.
Mastering Text Mining with R. Extract and recognize your text data
Avinash Paul, KUMAR ASHISH
Text Mining (or text data mining or text analytics) is the process of extracting useful and high-quality information from text by devising patterns and trends. R provides an extensive ecosystem to mine text through its many frameworks and packages.Starting with basic information about the statistics concepts used in text mining, this book will teach you how to access, cleanse, and process text using the R language and will equip you with the tools and the associated knowledge about different tagging, chunking, and entailment approaches and their usage in natural language processing. Moving on, this book will teach you different dimensionality reduction techniques and their implementation in R. Next, we will cover pattern recognition in text data utilizing classification mechanisms, perform entity recognition, and develop an ontology learning framework. By the end of the book, you will develop a practical application from the concepts learned, and will understand how text mining can be leveraged to analyze the massively available data on social media.
Jeffrey Silver, Jason Mar-Tang, Michael Huckaby
Sales engineers often need to balance their technical expertise with the soft skills needed to close deals and build lasting client relationships. This book provides a framework for both senior engineers seeking professional growth and individuals just starting their sales engineering careers. This book draws from the authors’ extensive experience in this industry and as leaders in top high-tech companies, offering real-world insights and life lessons applicable to this specialized and in-demand industry. You’ll pick up the core disciplines a successful sales engineer should exemplify, along with mastering practical, day-to-day operational aspects. Within these chapters, you will learn the roles and responsibilities of a sales engineer, as well as adjacent roles within a sales team. You’ll also develop the skills needed to navigate complex sales cycles and exceed traditional expectations. This book covers various key aspects of sales engineering, including mastering communication techniques, navigating complex meetings, managing customer expectations, understanding legal matters, and handling administrative tasks. By the end of this book, you’ll have acquired advanced knowledge to excel as a world-class sales engineer and become a valuable member of your organization’s broader team.
Mastering the C++17 STL. Make full use of the standard library components in C++17
Arthur O'Dwyer
Modern C++ has come a long way since 2011. The latest update, C++17, has just been ratified and several implementations are on the way.This book is your guide to the C++ standard library, including the very latest C++17 features. The book starts by exploring the C++ Standard Template Library in depth. You will learn the key differences between classical polymorphism and generic programming, the foundation of the STL. You will also learn how to use the various algorithms and containers in the STL to suit your programming needs. The next module delves into the tools of modern C++. Here you will learn about algebraic types such as std::optional, vocabulary types such as std::function, smart pointers, and synchronization primitives such as std::atomic and std::mutex. In the final module, you will learn about C++'s support for regular expressions and file I/O. By the end of the book you will be proficient in using the C++17 standard library to implement real programs, and you'll have gained a solid understanding of the library's own internals.
Andrew Caya
This book will get you started with the latest benchmarking, profiling and monitoring tools for PHP, MySQL and JavaScript using Docker-based technologies. From optimizing PHP 7 code to learning asynchronous programming, from implementing Modern SQL solutions to discovering Functional JavaScript techniques, this book covers all the latest developments in Faster Web technologies. You will not only learn to determine the best optimization strategies, but also how to implement them.Along the way, you will learn how to profile your PHP scripts with Blackfire.io, monitor your Web applications, measure database performance, optimize SQL queries, explore Functional JavaScript, boost Web server performance in general and optimize applications when there is nothing left to optimize by going beyond performance.After reading this book, you will know how to boost the performance of any Web application and make it part of what has come to be known as the Faster Web.
Mastering the Java Virtual Machine. An in-depth guide to JVM internals and performance optimization
Otavio Santana
Mastering the Java Virtual Machine is a comprehensive guide that will take you into the heart of the Java programming language, guiding you through the intricate workings of the Java Virtual Machine (JVM) and equipping you with essential skills to become a proficient Java developer.You’ll start by understanding the JVM, exploring its architecture and how it executes Java code. Through detailed explanations and real-world examples, you’ll gain a deep understanding of JVM internals, enabling you to write efficient and optimized Java applications. As you progress, you’ll delve into memory management and execution, unraveling the complexities of heap and stack management, garbage collection, and memory profiling. You'll learn how memory is allocated and reclaimed in the JVM, as well as how to optimize memory usage and identify performance bottlenecks in your applications. With this knowledge, you’ll be able to create Java programs that are not only robust but also highly performant.By the end of this Java book, you’ll have the skills needed to excel in Java programming, writing efficient and maintainable code.