Название: Machine Learning and Deep Learning in Computational Toxicology
Автор: Huixiao Hong
Издательство: Springer
Год: 2023
Страниц: 654
Язык: английский
Формат: pdf (true)
Размер: 19.5 MB

This book is a collection of Machine Learning and Deep Learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art Machine Learning and Deep Learning techniques in analysis of a variety of toxicological endpoint data. The contents illustrate those Machine Learning and Deep Learning algorithms, methods, and software tools and summarise the applications of Machine Learning and Deep Learning in predictive toxicology with informative text, figures, and tables that are contributed by the first tier of experts. One of the major features is the case studies of applications of Machine Learning and Deep Learning in toxicological research that serve as examples for readers to learn how to apply Machine Learning and Deep Learning techniques in predictive toxicology. This book is expected to provide a reference for practical applications of Machine Learning and Deep Learning in toxicological research.

Название: Programming Languages: Build, Prove, and Compare
Автор: Norman Ramsey
Издательство: Cambridge University Press
Год: 2023
Страниц: 800
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. The ideas, descriptive techniques, and examples are conveyed by means of bridge languages. A bridge language models a real programming language, but it is small enough to describe formally and to learn in a week or two, yet big enough to write interesting programs in. The bridge languages in this book model Algol, Scheme, ML, CLU, and Smalltalk, and they are related to many modern descendants, including C, C++, OCaml, Haskell, Java, jаvascript, Python, Ruby, and Rust.

Название: Learning Modern C++ for Finance: Foundations for Quantitative Programming (Fourth Release)
Автор: Daniel Hanson
Издательство: O’Reilly Media, Inc.
Год: 2023-02-08
Страниц: 204
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.18 MB

A lot of financial modeling has gravitated toward Python, R, and VBA, but many developers hit a wall with these languages when it comes to performance. This practical book demonstrates why C++ is still one of the dominant production-quality languages for financial applications and systems. Many programmers believe that C++ is too difficult to learn. Author Daniel Hanson demonstrates that this is no longer the case. Financial programmers coming from Python or another interpreted language will discover how to leverage C++ abstractions that enable safer and quicker implementation of financial models. You'll also explore how popular open source libraries provide additional weapons for attacking mathematical problems. C++ programmers unfamiliar with financial applications will also benefit from this handy guide.

Название: Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library
Автор: Samit Ahlawat
Издательство: Apress
Год: 2023
Страниц: 435
Язык: английский
Формат: pdf (true), epub (true)
Размер: 37.3 MB

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library. Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN – two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into reinforcement learning theory, explaining the Markov decision process, value function, policy, and policy gradients, with their mathematical formulations and learning algorithms. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming, covering concepts ranging from variables and graphs to automatic differentiation, layers, models, and loss functions.

Название: Fusion of Machine Learning Paradigms: Theory and Applications
Автор: Ioannis K. Hatzilygeroudis, George A. Tsihrintzis, Lakhmi C. Jain
Издательство: Springer
Год: 2023
Страниц: 204
Язык: английский
Формат: pdf (true), epub
Размер: 28.3 MB

This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. One of the most successful and most promising Machine Learning approaches that, in recent years, have claimed a large part of research activities is that of Integrated or Hybrid Approaches and Methodologies.

Название: CI/CD Pipeline with Docker and Jenkins: Learn How to Build and Manage Your CI/CD Pipelines Effectively
Автор: Sandeep Rawat
Издательство: BPB Publications
Год: 2023
Страниц: 220
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

A Practical Guide to Mastering Modern-day Software Development. ‘CI/CD Pipeline with Docker and Jenkins’ is the right mix of narrative, concepts, and real-life implementation. The book focuses on the CI/CD maturity journey of a team from a DevOps perspective. The book takes you on a CI/CD journey of a project, starting from identifying the challenges faced by the team and how the team uses CI as a first step to overcome the problems. Moving on, the book explains how the team matures via the Jenkins shared library and Dockerization. The later part of the book covers the next journey, where the DevOps team decides to introduce CD to mature the DevOps practices of the project further. Here, the book explains how the DevOps team learns about the various implementations of CD and applies them via Jenkins.

Название: UML-Based Software Product Line Engineering with SMarty
Автор: Edson OliveiraJr
Издательство: Springer
Год: 2023
Страниц: 517
Язык: английский
Формат: pdf (true)
Размер: 30.8 MB

This book is about software product lines (SPLs) designed and developed taking UML diagrams as the primary basis, modeled according to a rigorous approach composed of an UML profile and a systematic process for variability management activities, forming the Stereotype-based Management of Variability (SMarty) approach. The book consists of five parts. Part I provides essential concepts on SPL in terms of the first development methodologies. It also introduces variability concepts and discusses SPL architectures finishing with the SMarty approach. Part II is focused on the design, verification and validation of SMarty SPLs, and Part III concentrates on the SPL architecture evolution based on ISO/IEC metrics, the SystEM-PLA method, optimization with the MOA4PLA method, and feature interaction prevention. Next, Part IV presents SMarty as a basis for SPL development, such as, the M-SPLearning SPL for mobile learning applications, the PLeTs SPL for testing tools.

Название: Python Programming Exercises, Gently Explained
Автор: Al Sweigart
Издательство: Independently published
Год: 2022
Страниц: 161
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Many books and websites have aggressive programming challenges for top coders. However, this book is for the rest of us. We want challenges that improve our coding skills, not leave us confused and discouraged. Other tutorials and books have taught you the basics of Python, but the 42 programming exercises in this book let you practice what you've learned. Selected for their simplicity, these programming problems include gentle explanations of the problem, the prerequisite coding concepts you’ll need to understand the solution, and helpful templates to put together the programs if you have trouble starting from scratch. Programming is like any other skill: it gets better with practice. I’ve chosen the exercises in this book because they are short and straightforward. Each exercise involves only a handful of programming concepts and you can solve them in a single session at the computer. If you’ve been intimidated by ―competitive programming or ―hacker challenge websites, you’ll find these to be an instructive and gentler way to level up your coding skills.

Название: Applied Quantum Cryptanalysis
Автор: Alexei Petrenko
Издательство: River Publishers
Год: 2023
Страниц: 223
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Today we witness an explosive growth in attention to Q-computing. Q-computing technologies, along with Artificial Intelligence (AI) and Machine Learning (ML) technologies, cloud and foggy computing, as well as technologies for collecting and streaming processing of Big Data and ETL, are constantly leading the lists of ""end-to-end"" information technologies for the digital economy of technologically developed countries of the world. One of the main reasons for this is the potential ability of quantum computers to solve some computational problems more efficiently than any of the most modern classical computers of the von Neumann architecture (supercomputers). The most expressive and interesting, from an applied point of view, examples of such problems are integer factorization, effectively performed by Shor's quantum algorithm, as well as record search in an unordered database, effectively solved by Grover's algorithm.

Название: Developing Sustainable and Energy-Efficient Software Systems
Автор: Artem Kruglov, Giancarlo Succi
Издательство: Springer
Серия: SpringerBriefs in Computer Science
Год: 2023
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This book provides information how to choose and collect the appropriate metrics for a software project in an organization. There are several kinds of metrics, based on the analysis of source code and developed for different programming paradigms such as structured programming and object-oriented programming (OOP). This way, the book follows three main objectives: (i) to identify existing and easily-collectible measures, if possible in the early phases of software development, for predicting and modeling both the traditional attributes of software systems and attributes specifically related to their efficient use of resources, and to create new metrics for such purposes; (ii) to describe ways to collect these measures during the entire lifecycle of a system, using minimally-invasive monitoring of design-time processes, and consolidate them into conceptual frameworks able to support model building by using a variety of approaches, including statistics, data mining and computational intelligence; and (iii) to present models and tools to support design time evolution of systems based on design-time measures and to empirically validate them.