Название: Decoding the Quant Market: A Guide to Machine Learning in Trading
Автор: Gautier Marti
Издательство: Independently published
Год: 2023
Страниц: 245
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.2 MB

In the ever-changing world of finance and trading, the search for a competitive edge has been a constant driver of innovation. Over the last few decades, the field of quantitative trading has emerged as a powerful force, pushing the boundaries of what is possible and reshaping the way we approach the market. At the heart of this transformation lies the fusion of cutting-edge technology, data-driven insights, and the unwavering curiosity of the human mind. It is this intersection of disciplines that forms the foundation for ”Decoding the Quant Market: A Guide to Machine Learning in Trading.” In this book, I aim to share my experiences and insights, offering a comprehensive guide to navigating the world of Machine Learning in quantitative trading. The journey begins with a foundational understanding of the core principles, theories, and algorithms that have shaped the field. From there, we delve into the practical applications of these techniques, exploring real-world examples and case studies that illustrate the power of Machine Learning (ML) in trading.

Название: Python for Beginners: The Biggest Python Programming Crash Course for Beginners, 2023 Edition
Автор: Programming Languages Academy
Издательство: Programming Languages Academy
Год: 2022
Страниц: 226
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.2 MB

Learn Python Coding Like a PRO in 7 Days! + Hands-On Workbook. Discover how YOU can master Python programming in next to no time with this fun and practical beginner’s crash course! Are you looking for a straightforward, easy-to-use beginner’s guide to Python? Want to automate boring tasks, become more productive, and make the most of your programs? Or do you want to learn how you can monetize your skills and earn income through Python programming? Then look no further! Say goodbye to confusing tutorials and outdated user manuals. This concise, informative, and deeply insightful 2-in-1 handbook reveals essential beginner programming advice to help you go from zero to pro and become an expert in Python programming. Packed with step-by-step tutorials and easy-to-digest advice that suits laymen and experienced coders alike, you’ll discover how you can pick up a valuable new skill and achieve your programming goals – even if you’ve never coded before in your life! From setting up your workspace and writing your first code to the must-know tricks and formulas for making full-fledged programs, Python Programming for Beginners also contains tons of practical programming exercises and creative project ideas, so you can get hands-on and test your knowledge.

Название: MATLAB C/C++, Fortran, Java, and Python API Reference (R2023a)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: March 2023
Страниц: 730
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Если у вас есть общая библиотека C++, экспортирующая функциональность, которая может быть вызвана из другого приложения, то вы можете использовать эти классы и функции непосредственно в MATLAB. Чтобы начать работу, вы должны сначала создать интерфейс к библиотеке C++, чтобы использовать его для вызова функциональности в MATLAB. Тот, кто создает этот интерфейс, называется издателем. Вы можете упаковать интерфейс и передать его конечному пользователю MATLAB.

Название: Computational Linear Algebra: with Applications and MATLAB Computations
Автор: Robert E. White
Издательство: CRC Press
Год: 2023
Страниц: 330
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus. A second goal of this text is to demonstrate the intimate relationship of linear algebra to applications/computations. A rigorous presentation has been maintained. A third reason for writing this text is to present, in the first half of the course, the very important topic on singular value decomposition, SVD. This is done by first restricting consideration to real matrices and vector spaces. MATLAB is used, but one could modify these codes to other programming languages. These are either to simplify some linear algebra computation, or to model a particular application.

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.