Data & IT

Scaling Agile with Jira Align is a practical guide for agile enterprise planning, delivery, reporting, and forecasting. This book will take you through best practices and use cases with a focus on scaling agile team execution in Jira Software. You'll achieve enterprise-wide agility and value delivery by implementing various features of Jira Align.

This book offers an introduction to mathematical reasoning for beginning university or college students, providing a solid foundation for further study in mathematics, computer science, and related disciplines.

Learn to survive extreme situations in wild locales from around the world with The Far Cry Survival Manual, based on the hit game series.

Avoid being left behind and make data science and artificial intelligence a profitable part of your business with this practical guide to product delivery.

This new edition of the bestselling book shares the processes and principles used to implement a data-driven approach to decision-making, targeted marketing, and digital transformation, emulating the approach of brands such as Netflix, Amazon and Spotify but framed for the unique challenges and opportunities of the sports industry.

Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications.Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners.The authors explore ways to enhance flexibility by: • Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces • Augmenting data with independent annotation layers, such as units of measurement or provenance • Combining independent pieces of partial information using unification or propagation • Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking • Extending the programming language, using dynamically extensible evaluators

Get a comprehensive understanding of gRPC fundamentals through real-world examples. With this practical guide, youll learn how this high-performance interprocess communication protocol is capable of connecting polyglot services in microservices architecture, while providing a rich framework for defining service contracts and data types.Complete with hands-on examples written in Go, Java, Node, and Python, this book also covers the essential techniques and best practices to use gRPC in production systems. Authors Kasun Indrasiri and Danesh Kuruppu discuss the importance of gRPC in the context of microservices development.

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to "e;learn"e; complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects.

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. Youll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.With this book, youll:Understand the wide spectrum of problem statements, tasks, and solution approaches within NLPImplement and evaluate different NLP applications using machine learning and deep learning methodsFine-tune your NLP solution based on your business problem and industry verticalEvaluate various algorithms and approaches for NLP product tasks, datasets, and stagesProduce software solutions following best practices around release, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap for NLP from a business and product leaders perspective

A ground-breaking investigation of how new technological developments have influenced the creative possibilities of composers of computer music in the last 50 years.

IOUG Press cover treatment, Intermediate-Advanced user level

In one of the first books on this transformative technology written for business leaders, Furlonger and Uzureau cut through the hype to help unlock the vast possibilities of this potentially world-changing technology.

This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor.

This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas.

The fast-paced, riveting story of the hacking collective that is using technology as a force for good, and fighting back against corporations and countries that are going after our freedom, privacy, even our democracy.