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Название: Linear Algebra With Machine Learning and Data
Автор: Crista Arangala
Издательство: CRC Press
Год: 2023
Страниц: 310
Язык: английский
Формат: pdf (true), epub
Размер: 21.1 MB

This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application. This text is meant to be used for a second course in applications of Linear Algebra to Data Analytics, with a supplemental chapter on Decision Trees and their applications in regression analysis. The text can be considered in two different but overlapping general data analytics categories: clustering and interpolation. Knowledge of mathematical techniques related to data analytics and exposure to interpretation of results within a data analytics context are particularly valuable for students studying undergraduate mathematics. Each chapter of this text takes the reader through several relevant case studies using real-world data. All data sets, as well as Python and R syntax, are provided to the reader through links to Github documentation.

Название: Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python (Fifth Early Release)
Автор: Deepak Kanungo
Издательство: O’Reilly Media, Inc.
Год: 2023-04-24
Страниц: 313
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Whether based on academic theories or Machine Learning strategies, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory. Unlike conventional AI systems, probabilistic Machine Learning (ML) systems treat errors and uncertainties as features, not bugs. They quantify uncertainty generated from inexact model inputs and outputs as probability distributions, not point estimates. Most importantly, these systems are capable of forewarning us when their inferences and predictions are no longer useful in the current market environment. These ML systems provide realistic support for financial decision-making and risk management in the face of uncertainty and incomplete information. Probabilistic ML is the next generation ML framework and technology for AI-powered financial and investing systems for many reasons.

Название: Optimization Techniques in Engineering: Advances and Applications
Автор: Anita Khosla, Prasenjit Chatterjee, Ikbal Ali
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 543
Язык: английский
Формат: pdf (true)
Размер: 38.1 MB

The book describes the basic components of an optimization problem along with the formulation of design problems as mathematical programming problems using an objective function that expresses the main aim of the model, and how it is to be either minimized or maximized; subsequently, the concept of optimization and its relevance towards an optimal solution in engineering applications, is explained. This book aims to present some of the recent developments in the area of optimization theory, methods, and applications in engineering. It focuses on the metaphor of the inspired system and how to configure and apply the various algorithms. The book comprises 30 chapters and is organized into two parts: Part I ― Soft Computing and Evolutionary-Based Optimization; and Part II ― Decision Science and Simulation-Based Optimization, which contains application-based chapters.

Название: Driving Value with Sprint Goals: Humble Plans, Exceptional Results (Early Release)
Автор: Maarten Dalmijn
Издательство: Addison-Wesley Professional
Год: 2023
Страниц: 233
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Building great software requires outstanding teamwork across multiple disciplines. All teams and participants need to align behind clear goals that deliver real value (outcomes), not just lots of features (output). Sprint Goals are the most powerful tool Scrum/Agile teams have to pursue high-value outcomes, but many Scrum Teams avoid them, misuse them, or struggle to apply them. Succeeding with Sprint Goals covers everything you need to define, create, and execute on Sprint Goals that deliver outstanding value to customers and the business. Leading Scrum practitioner Maarten Dalmijn bridges the gap between theory and practice, offering a fresh, unique, and cohesive perspective on the Scrum framework that will be valuable to every Product Owner, Product Manager, Scrum Master, Agile coach, and technology executive. You will learn why Sprint Goals are so important, how to use them throughout the Sprint and at Review and Retrospective, how to overcome common obstacles to success, and how to use them to build high-performing teams.

Название: Practitioner's Guide to Data Science
Автор: Hui Lin, Ming Li
Издательство: CRC Press
Год: 2023
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 25.8 MB

This book aims to increase the visibility of Data Science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day Data Science work are almost absent from conventional statistics, Machine Learning, and Data Science curriculum. Yet these activities account for a considerable share of the time and effort for data professionals in the industry. Based on industry experience, this book outlines real-world scenarios and discusses pitfalls that Data Science practitioners should avoid. It also covers the Big Data cloud platform and the art of Data Science, such as soft skills. The authors use R as the primary tool and provide code for both R and Python.

Название: Data Science for Water Utilities: Data as a Source of Value
Автор: Peter Prevos
Издательство: CRC Press
Год: 2023
Страниц: 212
Язык: английский
Формат: pdf (true)
Размер: 31.5 MB

This addition to the Data Science Series introduces the principles of Data Science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. Data Science for Water Utilities: Data as a Source of Value is an applied, practical guide that shows water professionals how to use Data Science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that, with each case study, increases in complexity. The last case study analyses data using basic machine learning. Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to Data Science and creating value with R.

Название: Beginning Java Objects: From Concepts to Code, 3rd Edition
Автор: Jacquie Barker
Издательство: Apress
Год: 2023
Страниц: 845
Язык: английский
Формат: pdf (true), epub (true)
Размер: 36.3 MB

As a programming language, Java's object-oriented nature is key to creating powerful, reusable code and applications that are easy to maintain and extend. That being said, many people learn Java syntax without truly understanding its object-oriented roots, setting them up to fail to harness all of the power of Java. This book is your key to learning both! This new third edition of Beginning Java Objects: From Concepts to Code discusses Java syntax, object principles, and how to properly structure the requirements of an application around an object architecture. It is unique in that it uses a single case study of a Student Registration System throughout the book, carrying the reader from object concepts, to object modeling, to building actual code for a full-blown application. A new chapter covers a technology-neutral discussion of the principles of building a three-tier architecture using Java, introducing the notion of model layer – presentation layer – data layer separation.

Название: Алгоритмические трюки для программистов
Автор: Уоррен Г.
Издательство: М.: Вильямс
Год: 2003
Cтраниц: 288
Формат: pdf
Размер: 12 мб
Язык: русский

В этой книге слову "хакер" возвращено его первозданное значение — человека увлеченного, талантливого программиста, способного к созданию чрезвычайно эффективного и элегантного кода. В книге воплощен сорокалетний стаж ее автора в области разработки компиляторов и архитектуры компьютеров.

Название: The Software Developer’s Career Handbook (4th Early Release)
Автор: Michael Lopp
Издательство: O’Reilly Media, Inc.
Год: 2023-04-20
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

At some point in your career, you'll realize there's more to being a software engineer than dealing with code. Is it time to become a manager? Or join a startup? In this insightful and entertaining book, Michael Lopp recalls his own make-or-break moments with Silicon Valley giants such as Apple, Slack, Pinterest, Palantir, Netscape, and Symantec to help you make better, more mindful career decisions. With more than 40 stand-alone stories, Lopp walks through a complete job lifecycle, starting with the interview and ending with the realization that it might be time to move on. You'll learn how to handle baffling circumstances in your job, understand what you want from your career, and discover how to thrive in your workplace.

Название: Clean Code Cookbook: Recipes to Improve the Design and Quality of your Code (2nd Early Release)
Автор: Maximiliano Contieri
Издательство: O’Reilly Media, Inc.
Год: 2023-04-20
Страниц: 132
Язык: английский
Формат: epub (true)
Размер: 21.0 MB

Often, software engineers and architects work with large, complex code bases that they need to scale and maintain. With this cookbook, author Maximiliano Contieri takes you beyond the concept of clean code by showing you how to identify improvement opportunities and their impact on production code. When it comes to reliability and system evolution, these techniques provide benefits that pay off over time. Using real life examples in jаvascript, PHP, Java, Python, and many other programming languages, this cookbook provides proven recipes to help you scale and maintain large systems. Every section covers fundamental concepts including readability, coupling, testability, and extensibility, as well as code smells—symptoms of a problem that requires special attention—and the recipes to address them.