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Название: All About Bioinformatics: From Beginner to Expert
Автор: Yasha Hasija
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 314
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

All About Bioinformatics: From Beginner to Expert provides readers with an overview of the fundamentals and advances in the field of bioinformatics, as well as some future directions. Each chapter is didactically organized and includes introduction, applications, tools, and future directions to cover the topics thoroughly. The book covers both traditional topics such as biological databases, algorithms, genetic variations, static methods, and structural bioinformatics, as well as contemporary advanced topics such as high-throughput technologies, drug informatics, system and network biology, and Machine Learning. Python is a free general-purpose programming language that is simple to learn and apply to a wide range of computational tasks. Python may be used to handle a variety of difficulties that research labs confront on a daily basis. Using computers and an appropriate programming language, it is possible to execute tasks such as data manipulation, biological data retrieval and parsing, automation, and simulation of biological problems efficiently.

Название: Recommender Systems: A Multi-Disciplinary Approach
Автор: Monideepa Roy, Pushpendu Kar, Sujoy Datta
Издательство: CRC Press
Серия: Intelligent Systems
Год: 2023
Страниц: 279
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Recommender Systems: A Multi-Disciplinary Approach presents a multi-disciplinary approach for the development of recommender systems. It explains different types of pertinent algorithms with their comparative analysis and their role for different applications. This book explains the big data behind recommender systems, the marketing benefits, how to make good decision support systems, the role of Machine Learning and Artificial Networks, and the statistical models with two case studies. It shows how to design attack resistant and trust-centric recommender systems for applications dealing with sensitive data.

Название: ChatGPT for Coders Unlock the Power of AI with ChatGPT: A Comprehensive Guide to Efficient and Effective Coding
Автор: Sean A Williams
Издательство: Independently published
Год: 2023
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

This book takes you on a journey through the world of coding with ChatGPT, exploring the benefits and applications of this cutting-edge technology. From understanding basic coding concepts and working with data to web development, Machine Learning, and beyond, this guide provides a comprehensive understanding of coding with ChatGPT. You will learn how to debug code, integrate ChatGPT with other tools and frameworks, fine-tune it for specific programming languages, and take advantage of its capabilities in real-world applications such as software development, Data Science, and Artificial Intelligence. Packed with practical tips and best practices, this book is your go-to resource for efficient and effective coding with ChatGPT. ChatGPT is able to comprehend a variety of programming languages, including well-known languages such as Python, Java, and jаvascript, among others. As a result of this, it is an adaptable tool for programmers who work in a variety of languages and fields.

Название: Handbook of Software Fault Localization : Foundations and Advances
Автор: W. Eric Wong, T.H. Tse
Издательство: Wiley-IEEE Press
Год: 2023
Страниц: 611
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Handbook of Software Fault Localization A comprehensive analysis of fault localization techniques and strategies. In Handbook of Software Fault Localization: Foundations and Advances , distinguished computer scientists Prof. W. Eric Wong and Prof. T.H. Tse deliver a robust treatment of up-to-date techniques, tools, and essential issues in software fault localization. The authors offer collective discussions of fault localization strategies with an emphasis on the most important features of each approach. The book also explores critical aspects of software fault localization, like multiple bugs, successful and failed test cases, coincidental correctness, faults introduced by missing code, the combination of several fault localization techniques, ties within fault localization rankings, concurrency bugs, spreadsheet fault localization, and theoretical studies on fault localization.

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.