Название: Secrets of Machine Learning: How It Works and What It Means for You
Автор: Tom Kohn
Издательство: World Scientific Publishing
Год: 2024
Страниц: 239
Язык: английский
Формат: pdf (true)
Размер: 10.5 MB

Cutting through the mass of technical literature on Machine Learning and AI and the plethora of fear-mongering books on the rise of killer robots, Secrets of Machine Learning offers a clear-sighted explanation for the informed reader of what this new technology is, what it does, how it works, and why it's so important.The surge in computer processing power along with the sheer quantities of training data available, means Machine Learning is now possible in ways wholly unthinkable just five years ago. Computers can recognize potential lung cancer better than doctors, detect fraud better than bankers, and create fake video almost impossible to tell from the real thing. And next, they are likely to drive our cars. Journalist and news product manager Tom Kohn gets to the heart of the revolutionary new technology that is developing all around us, explaining with precision how the different facets of Machine Learning work, how companies are using it, and why it is permeating all parts of society right now. The book guides readers through the arcane science and jargon in a clear and understandable way, but is detailed enough that it doesn't gloss over the hard technical concepts. If you want to know why Siri sometimes misunderstands you, how Netflix recommends your movies, and how Machine Learning will affect your job -- read this book. Anyone curious about how technology is changing in the workplace and the economy will benefit from learning how Machine Learning is filtering into different areas. Employees looking to future-proof their own skills, students seeking to get ahead as they enter the job market, and anyone with a general interest in cutting-edge industry.

Название: Metaheuristics for Machine Learning: Algorithms and Applications
Автор: Kanak Kalita, Narayanan Ganesh
Издательство: Wiley-Scrivener
Серия: Artificial Intelligence and Soft Computing for Industrial Transformation
Год: 2024
Страниц: 327
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

The book unlocks the power of nature-inspired optimization in Machine Learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in Machine Learning and Artificial Intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing Machine Learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into Machine Learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and Machine Learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Genetic algorithms (GAs) fit to a cluster of metaheuristic optimization techniques that draw inspiration from natural selection and genetics. In order to find the optimal solution for a particular issue, the core idea underlying the GA is to mimic the evolutionary process.

Название: Clean Code Principles and Patterns, 2nd Edition : A Software Practitioner's Handbook
Автор: Petri Silén
Издательство: Leanpub
Год: 2024-04-07
Страниц: 672
Язык: английский
Формат: pdf (true), epub
Размер: 61.4 MB

This book teaches you how to write clean code. It presents software design and development principles and patterns in a very practical manner. This book is suitable for both junior and senior developers. Some basic knowledge of programming in Python is required. All examples in this book are presented in Python, except some examples related to frontend code, which are in jаvascript/TypeScript. The content of this book is divided into ten chapters. All Python examples in this book require Python 3.11 or later. This is a book for primarily software developers. For that reason, some topics are not covered exhaustively. This includes topics related to architecture, DevSecOps, E2E, and non-functional testing. Those are topics most relevant to software architects, DevOps specialists and test/QA engineers. I want to cover them in this book because it is always good to have a basic understanding of topics closely related to software development. This book presents a lot of principles, best practices, and patterns. It can be difficult to grasp them all on a single read, which is not the purpose. You should pick the most relevant topics for yourself, embrace them, and try to put them into use in everyday coding.

Название: Automatic Speech Recognition and Translation for Low Resource Languages
Автор: L. Ashok Kumar, D. Karthika Renuka, Bharathi Raja Chakravarthi
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 646
Язык: английский
Формат: epub
Размер: 42.5 MB

This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology.

Название: Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications
Автор: Elakkiya R., Subramaniyaswamy V.
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 384
Язык: английский
Формат: epub
Размер: 10.1 MB

The combination of cognitive analytics and Reinforcement Learning is a transformational force in the field of modern technological breakthroughs, reshaping the decision-making, problem-solving, and innovation landscape; this book offers an examination of the profound overlap between these two fields and illuminates its significant consequences for business, academia, and research. Cognitive analytics and Reinforcement Learning are pivotal branches of Artificial Intelligence. They have garnered increased attention in the research field and industry domain on how humans perceive, interpret, and respond to information. Cognitive science allows us to understand data, mimic human cognitive processes, and make informed decisions to identify patterns and adapt to dynamic situations. The process enhances the capabilities of various applications. Readers will uncover the latest advancements in AI and Machine Learning, gaining valuable insights into how these technologies are revolutionizing various industries, including transforming healthcare by enabling smarter diagnosis and treatment decisions, enhancing the efficiency of smart cities through dynamic decision control, optimizing debt collection strategies, predicting optimal moves in complex scenarios like chess, and much more. The book caters to a diverse audience that spans academic researchers, AI practitioners, data scientists, industry leaders, tech enthusiasts, and educators who associate with Artificial Intelligence, data analytics, and cognitive sciences.

Название: Outlier Detection in Python (MEAP v1)
Автор: Brett Kennedy
Издательство: Manning Publications
Год: 2024
Страниц: 283
Язык: английский
Формат: pdf, epub
Размер: 20.4 MB

Learn how to find the unusual, interesting, extreme, or inaccurate parts of your data. Outliers can be the most informative parts of your data, revealing hidden insights, novel patterns, and potential problems. For a business, this can mean finding new products, expanding markets, and flagging fraud or other suspicious activity. Outlier Detection in Python introduces the tools and techniques you’ll need to uncover the parts of a dataset that don’t look like the rest, even when they’re the more hidden or intertwined among the expected bits. Outlier Detection in Python is a comprehensive guide to the statistical methods, Machine Learning, and Deep Learning approaches you can use to detect outliers in different types of data. Throughout the book, you’ll find real-world examples taken from author Brett Kennedy’s extensive experience developing outlier detection tools for financial auditors and social media analysis. Plus, the book’s emphasis on interpretability ensures you can identify why your outliers are unusual and make informed decisions from your detection results. Each key concept and technique is illustrated with clear Python examples. All you’ll need to get started is a basic understanding of statistics and the Python data ecosystem. For Python programmers familiar with tools like pandas and NumPy, and the basics of statistics.

Название: 100 C++ Mistakes and How to Avoid Them (MEAP v2)
Автор: Rich Yonts
Издательство: Manning Publications
Год: 2024
Страниц: 220
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Learn how to handle errors, inefficiencies, and outdated paradigms by exploring the most common mistakes you’ll find in production C++ code. C++ is a complex and powerful language. With an estimated ten billion lines of C++ code running in production, it’s not hard to find bugs, inefficiencies, and other coding mistakes that slow and snarl even the most mission critical applications. 100 C++ Mistakes and How To Avoid Them reveals the problems you’ll inevitably encounter as you write new C++ code and diagnose legacy applications, along with practical techniques you need to resolve them. 100 C++ Mistakes and How To Avoid Them identifies the problems you’ll find in legacy C++ codebases as well as in your own new programs. Author Rich Yonts provides a concrete example of each mistake and a step-by-step walkthrough of the correct code. You’ll learn to consider each mistake from the standpoint of correctness, readability, effectiveness, and performance, and adopt modern programming techniques that can replace older, outdated approaches. The book focuses on newer developers who inherit existing C++ projects. Understanding why specific mistakes exist helps you know how to detect and avoid writing similar issues. The mistakes start with class design and end with a few modern C++ techniques. Learning these new features should encourage you to improve your inherited code and leave it in a much better state for the next developer. Both beginning and experienced C++ programmers will benefit from these practical tips and advice.

Название: The Python Bible for Beginners: The Ultimate Roadmap to Learn Python, Develop Practical Skills, and Kickstart Your Programming Career in Just 7 Days
Автор: Ralston Maki
Издательство: Independently published
Год: 2024
Страниц: 238
Язык: английский
Формат: pdf
Размер: 26.8 MB

Reach the end of the book to redeem 3 exclusive ebooks! Unleash your coding potential with the ultimate Python Bible for Beginners! Are you ready to skyrocket your programming career in just 7 days? Do you dream of mastering Python and developing practical, in-demand skills? Have you been searching for a comprehensive guide that takes you from zero to hero in record time? If so, keep reading! This groundbreaking book is your fast track to Python mastery. Packed with clear explanations, hands-on projects, and expert insights, it's the only resource you need to go from complete beginner to confident coder in just one week. Whether you're looking to jumpstart your programming career, automate tasks, or bring your ideas to life, this bible has everything you need to succeed. Whether you're a complete novice, a career changer, or a programmer looking to add Python to your toolkit, this bible is your key to unlocking the full potential of this versatile language. With its laser focus on practical skills and job readiness, it's the ultimate resource for anyone serious about launching a successful programming career.

Название: Fluent Bit with Kubernetes (MEAP v5)
Автор: Phil Wilkins
Издательство: Manning Publications
Год: 2024
Страниц: 341
Язык: английский
Формат: pdf, epub
Размер: 16.8 MB

Build cloud native observability pipelines with minimal footprints and high-performance throughput—all with Fluent Bit, Kubernetes, and your favorite visualization and analytics tools. Fluent Bit with Kubernetes draws on both the input and support of key committers and founders of Fluent Bit, and author Phil Wilkin’s years of experience in DevOps. Inside, you’ll see how you can integrate Fluent Bit with Prometheus, OpenTelemetry, FluentD deployments, and more. Learn how Fluent Bit can not only meet all the demands of cloud-native use cases, but also more traditional deployments as well. Inside Fluent Bit with Kubernetes you’ll learn how to establish and optimize observability systems for Kubernetes, and more. From fundamental configuration to advanced integrations, this book lays out Fluent Bit’s full capabilities for log, metric, and trace routing and processing. You’ll start with pre-made configurations for universal use cases, steadily working your way up to see how Fluent Bit works with modern innovations like OpenTelemetry and real-time analytical processing of events. You’ll learn how to customize filtering and processing using Lua scripts and plugins, and meet the demands of highly scalable environments with a minimal footprint. By the end, you’ll be ready to build tailored observability pipelines efficiently using Fluent Bit. For developers, DevOps engineers, and SREs working with Kubernetes observability.

Название: Visualizing Quantum Mechanics with Python
Автор: Stephen Spicklemire
Издательство: CRC Press
Год: 2024
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Quantum Mechanics can be an abstract and complex subject. Students often complain of confusion, struggle, and frustration as they try to master the topic. The goal of this book is to reduce the complexity and clarify the abstractions with concrete visual examples driven by simple Python programs. It is assumed that the reader is concurrently taking a course in quantum mechanics, or self-studying quantum mechanics, but is looking for supplementary material to help with understanding and visualizing how quantum mechanics works. The focus of this book is writing Python programs to visualize the underlying behavior of the mathematical theory. The background needed to understand quantum mechanics is differential equations, linear algebra and modern physics. We need a strong foundation in differential equations and linear algebra because the behavior of quantum systems is governed by equations that are written in terms of these concepts. Modern physics includes concepts such as special relativity and quantum phenomena like the photoelectric effect and energy quantization that the theory of quantum mechanics seeks to explain. This book is also not an introduction to the Python programming language, or to NumPy, or even to VPython. However its programming examples start simply and grow more complex as the chapters progress, so deep expertise in any of these is not a pre-requisite.