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 Название: Reinforcement Learning: Theory and Python Implementation
Автор: Zhiqing Xiao
Издательство: Springer/China Machine Press
Год: 2024
Страниц: 574
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning systematically and introduces all mainstream reinforcement learning algorithms such as PPO, SAC, and MuZero. It also covers key technologies of GPT training such as RLHF, IRL, and PbRL. Every chapter is accompanied by high-quality implementations, and all implementations of deep reinforcement learning algorithms are with both TensorFlow and PyTorch. Codes can be found on GitHub along with their results and are runnable on a conventional laptop with either Windows, macOS, or Linux. Reinforcement Learning (RL) is a type of Artificial Intelligence (AI) that changes our lives: RL players have defeated human in many games such as the game of Go and StarCraft; RL controllers are driving varied robots and unmanned vehicles; RL traders are making tons of money in financial markets, and the large language model with RL such as ChatGPT have been used in many business applications. Since the same RL algorithm with the same parameter setting can solve very different tasks, RL is also regarded as an important way to general AI. Here I sincerely invite you to learn RL to surf in these AI waves. This book is intended for readers who want to learn reinforcement learning systematically and apply reinforcement learning to practical applications. It is also ideal to academical researchers who seek theoretical foundation or algorithm enhancement in their cutting-edge AI research. | |
Разместил: Ingvar16 29-09-2024, 12:41 | Комментарии: 0 | Подробнее
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 Название: Django The Ultimate Beginner's Handbook
Автор: Mahesh Kumar
Издательство: Independently published
Год: 2024
Язык: английский
Формат: epub
Размер: 36.2 MB
In this book all the important concepts of Django are explained, which are more required in Web Development. This book is for all those students who want to learn how to create Program for web development. And if you want to make projects based on your ideas, then all of them can take help of this book. With the help of this book, from 8 class students to 12 class students. This book is also for all those students. Those who either doing engineering or want to do engineering (Electronics Engineering, Electronics Communication Engineering, Computer Science Engineering, Information Technology Engineering). This book will help them to complete their basic for all of them. After reading this book and using all its formulas, you will found the increment in your knowledge, And I can say this with conviction. Django is a Python based web framework so Django contains some codes or libraries it help you simplify your web operation. Django has gained immense popularity in the web development community due to its simplicity, flexibility, and scalability. It's the backbone of numerous high-traffic websites and applications, making it a powerful tool in the arsenal of modern developers. But beyond its technical merits, Django embodies a philosophy that prioritizes developer experience and efficiency, allowing you to focus on writing your application without needing to reinvent the wheel. | |
Разместил: Ingvar16 29-09-2024, 05:10 | Комментарии: 0 | Подробнее
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 Название: Java Microservices and Containers in the Cloud: With Spring Boot, Kafka, Postgresql, Kubernetes, Helm, Terraform and AWS EKS
Автор: Binildas A. Christudas
Издательство: Apress
Год: 2024
Страниц: 733
Язык: английский
Формат: pdf
Размер: 17.5 MB
Spring Boot helps developers create applications that simply run. When minimal configuration is required to start up an application, even novice Java developers are ready to start. But this simplicity shouldn't constrain developers in addressing more complex enterprise requirements where microservice architecture is concerned. With the need to rapidly deploy, patch, or scale applications, containers provide solutions which can accelerate development, testing as well as production cycles. The cloud helps companies to scale and adapt at speed, accelerate innovation and drive business agility, without heavy upfront IT investment. What if we can equip even a novice developer with all that is required to help enterprises achieve all of this, this book does this and more. Java Microservices and Containers in the Cloudoffers a comprehensive guide to both architecture and programming aspects to Java microservices development, providing a fully hands-on experience. We not only describe various architecture patterns but also provide practical implementations of each pattern through code examples. Despite the focus on architecture, this book is designed to be accessible to novice developers with only basic programming skills, such as writing a "Hello World" program and using Maven to compile and run Java code. It ensures that even such readers can easily comprehend, deploy, and execute the code samples provided in the book. Regardless of your current knowledge or lack thereof in Docker, Kubernetes, and Cloud technologies, this book will empower you to develop programming skills in these areas. For developers, programmers and Architects who want to level up their Java Micoservices and Archtecture knowledge as well as managers who want to brush up on their technical knowledge around the topic. | |
Разместил: Ingvar16 28-09-2024, 16:18 | Комментарии: 0 | Подробнее
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 Название: Complete C# Language For Beginners: C# Complete Course
Автор: Mahesh Kumar
Издательство: Independently published
Год: 2024
Страниц: 159
Язык: английский
Формат: epub
Размер: 53.8 MB
In this book all the important concepts of C# language are explained, which are more required in programming. This book is for all those students who want to learn how to create Program. And if you want to make projects based on your ideas, then all of them can take help of this book. With the help of this book, from 8 class students to 12 class students. This book is also for all those students. Those who either doing engineering or want to do engineering (Electronics Engineering, Electronics Communication Engineering, Computer Science Engineering, Information Technology Engineering). This book will help them to complete their basic for all of them. After reading this book and using all its formulas, you will found the increment in your knowledge, And I can say this with conviction. Hello and welcome everyone to yet another tech enthusiastic Lecture and today I'll be handling C# tutorial. C# is an all-purpose and robust programming language developed by the Microsoft corporation in the year 2000 as a deadly competitor to Java. It is the most popular and dominating programming language when it comes to both web development as well as desktop application development in this C# tutorial. | |
Разместил: Ingvar16 28-09-2024, 15:42 | Комментарии: 0 | Подробнее
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 Название: Prompt Engineering for Beginners: Making A.I. Work for You
Автор: Mark J. Baars
Издательство: BAARS Media
Год: 2024
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB
Unlock the power of Artificial Intelligence (AI) with "Prompt Engineering for Beginners," your essential guide to mastering the art of crafting effective prompts for AI models. Whether you're a tech enthusiast, a curious learner, or a professional looking to enhance your skills, this comprehensive book provides you with the tools and knowledge to harness AI's potential. "Prompt Engineering for Beginners" demystifies the process of working with AI, making it accessible and engaging for readers of all levels. By the end of this book, you'll be equipped with the skills to leverage AI effectively, opening up new possibilities for innovation and creativity. The practical applications of prompt engineering are vast and varied, spanning multiple industries and use cases. By leveraging advanced techniques such as contextual prompts, iterative prompting, chain of thought prompts, role-based prompts, scenario-based prompts, multi-turn prompts, conditional prompts, code generation prompts, and prompt chaining, you can enhance the effectiveness and relevance of AI-generated responses. Whether you are in business, education, creative industries, healthcare, technology, software development, or legal fields, mastering prompt engineering can unlock new possibilities and drive innovation. Embark on your journey into the world of AI with "Prompt Engineering for Beginners" and discover how the right prompts can unlock the full potential of Artificial Intelligence. Grab your copy today and start your adventure in AI prompt engineering! | |
Разместил: Ingvar16 28-09-2024, 13:46 | Комментарии: 0 | Подробнее
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 Название: Biomedical Imaging: Advances in Artificial Intelligence and Machine Learning
Автор: Ankur Gogoi, Nirmal Mazumder
Издательство: Springer
Год: 2024
Страниц: 359
Язык: английский
Формат: pdf (true), epub
Размер: 61.0 MB
This book presents the rapidly developing field of Artificial Intelligence (AI) and Machine Learning and its application in biomedical imaging. As is known, starting from the diagnosis of fractures by using X-rays to understanding the complex structure and function of the brain, biomedical imaging has contributed immensely toward the development of precision diagnosis and treatment strategies for numerous diseases. While continuous evolution in imaging technologies have enabled the acquisition of images having resolution and contrast far better than ever, it significantly increased the volume of data associated with each image scan—making it increasingly difficult for experts to analyze and interpret. In this context, the application of Artificial Intelligence (AI) and Machine Learning (ML) tools has become one of the most exciting frontlines of contemporary research in biomedical imaging due to their capability to extract minute traces of various disease signatures from large and complicated datasets and providing clear insight into the potential abnormalities with excellent accuracy, sensitivity, and specificity. The book covers a range of topics, from the fundamentals of AI, ML, and Deep Learning (DL) to the latest applications of these techniques in the analysis and interpretation of various medical imaging modalities. | |
Разместил: Ingvar16 28-09-2024, 02:50 | Комментарии: 0 | Подробнее
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 Название: Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms
Автор: Pavan Kumar Narayanan
Издательство: Apress
Год: 2024
Страниц: 631
Язык: английский
Формат: pdf
Размер: 33.0 MB
This book covers modern data engineering functions and important Python libraries, to help you develop state-of-the-art ML pipelines and integration code. The book begins by explaining data analytics and transformation, delving into the Pandas library, its capabilities, and nuances. It then explores emerging libraries such as Polars and CuDF, providing insights into GPU-based computing and cutting-edge data manipulation techniques. The text discusses the importance of data validation in engineering processes, introducing tools such as Great Expectations and Pandera to ensure data quality and reliability. The book delves into API design and development, with a specific focus on leveraging the power of FastAPI. It covers authentication, authorization, and real-world applications, enabling you to construct efficient and secure APIs using FastAPI. Also explored is concurrency in data engineering, examining Dask's capabilities from basic setup to crafting advanced machine learning pipelines. The book includes development and delivery of data engineering pipelines using leading cloud platforms such as AWS, Google Cloud, and Microsoft Azure. The concluding chapters concentrate on real-time and streaming data engineering pipelines, emphasizing Apache Kafka and workflow orchestration in data engineering. Workflow tools such as Airflow and Prefect are introduced to seamlessly manage and automate complex data workflows. What sets this book apart is its blend of theoretical knowledge and practical application, a structured path from basic to advanced concepts, and insights into using state-of-the-art tools. For data analysts, data engineers, data scientists, Machine Learning engineers, and MLOps specialists. | |
Разместил: Ingvar16 27-09-2024, 20:02 | Комментарии: 0 | Подробнее
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 Название: Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, 3rd Edition
Автор: Robert Johansson
Издательство: Apress
Год: 2024
Страниц: 485
Язык: английский
Формат: pdf
Размер: 24.5 MB
Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, Matplotlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more. Numerical Python, Third Edition, presents many case study examples of applications in fundamental scientific computing disciplines, as well as in Data Science and statistics. This fully revised edition, updated for each library's latest version, demonstrates Python's power for rapid development and exploratory computing due to its simple and high-level syntax and many powerful libraries and tools for computation and data analysis. After reading this book, readers will be familiar with many computing techniques, including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling, and Machine Learning. For developers who want to understand how to use Python and its ecosystem of libraries for scientific computing and data analysis. | |
Разместил: Ingvar16 27-09-2024, 19:32 | Комментарии: 0 | Подробнее
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 Название: Deep Learning for 3D Vision: Algorithms and Applications
Автор: Xiaoli Li, Xulei Yang, Hao Su
Издательство: World Scientific Publishing
Год: 2024
Страниц: 493
Язык: английский
Формат: pdf (true)
Размер: 20.9 MB
3D Deep Learning is a rapidly evolving field that has the potential to transform various industries. This book provides a comprehensive overview of the current state-of-the-art in 3D Deep Learning, covering a wide range of research topics and applications. It collates the most recent research advances in 3D Deep Learning, including algorithms and applications, with a focus on efficient methods to tackle the key technical challenges in current 3D Deep Learning research and adoption, therefore making 3D Deep Learning more practical and feasible for real-world applications. For any AI-enabled agent to accomplish its task, visual understanding or perception is the ?rst step towards interacting with the three-dimensional (3D) world. Due to its inherent limitations, visual understanding techniques based solely on two-dimensional (2D) images may be inadequate for real-world applications. This calls for 3D Deep Learning techniques that operate on 3D data, which enables a direct visual understanding of the 3D world. In recent years, 3D Deep Learning has been attracting increasing attention. As we live in a 3D world, 3D Deep Learning is a natural way to perceive and understand our environment, enabling emerging and new industrial applications, such as autonomous driving, robot perception, medical imaging, and scienti?c simulations, and many more. In the context of 3D Deep Learning, deep neural networks have been adapted and extended to work with 3D data, including point clouds, meshes, and volumetric data. This has led to signi?cant progress in tasks, such as 3D object detection and segmentation, point cloud classi?cation, and 3D reconstruction. | |
Разместил: Ingvar16 27-09-2024, 12:48 | Комментарии: 0 | Подробнее
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 Название: Applied OSS Reliability Assessment Modeling, AI and Tools: Mathematics and AI for OSS Reliability Assessment
Автор: Yoshinobu Tamura, Shigeru Yamada
Издательство: Springer
Год: 2024
Страниц: 191
Язык: английский
Формат: pdf (true), epub
Размер: 32.2 MB
This textbook introduces the theory and application of open source software (OSS) reliability. The measurement and management of open source software are essential to produce and maintain quality and reliable systems while using open source software. This book describes the latest methods for the reliability assessment of open source software. This book will serve as a textbook and reference book for graduate students and researchers in reliability for open source software, modeling, and Deep Learning. Several latest methods of reliability assessment for open source software are introduced. We aim to present the state-of-the-art of open source software reliability measurement and assessment based on the stochastic modeling and Deep Learning approaches. For example, stochastic differential equation models, two dimensional stochastic differential equation models, Deep Learning methods, tools are presented. The book contains exercises to aid learning and is useful for graduate students and researchers. | |
Разместил: Ingvar16 27-09-2024, 11:00 | Комментарии: 0 | Подробнее
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