Название: Machine Learning with Python: Master Pandas, Scikit-learn, and TensorFlow for Building Smart IA Models Автор: Jоsерh Т. Наndу Издательство: Independently published Год: 2024 Страниц: 107 Язык: английский Формат: pdf, azw3, epub (true), mobi Размер: 10.1 MB Machine Learning is revolutionizing the world, and Python is the language of choice for its development. This book equips you with the essential tools - Pandas, Scikit-learn, and TensorFlow - to build and deploy intelligent applications. Written by seasoned practitioners, this book combines clear explanations with practical exercises, helping you gain hands-on experience and build real-world skills. This book, "Machine Learning with Python: Master Pandas, Scikit-learn, and TensorFlow for building Smart AI Models," is your passport to this thrilling world. Through an exciting journey filled with practical exercises, real-world examples, and a dash of humour, you'll not just understand the fundamentals of ML, but also become proficient in using powerful Python libraries like Pandas, Scikit-learn, and TensorFlow to build your own intelligent systems. No prior coding experiences? No worries! We'll walk you through the necessary Python basics, ensuring you have a solid foundation before diving into the heart of ML. So, what are you waiting for? Buckle up, grab your favourite coding buddy (or just grab a cup of coffee!), and get ready to unleash the power of machine learning! In the first chapter, we'll unveil the fascinating world of ML, exploring its various applications and why Python reigns supreme in this domain. We'll also set up your learning environment, so you can start coding right away.
Название: Python Essentials 1: The Official OpenEDG Python Institute beginners course with practical exercises – learn the basics of Python in seven days and pass the PCEP certification exam Автор: Тhе ОреnЕDG Руthоn Institutе Издательство: Тhе ОреnЕDG Руthоn Institutе Серия: Python Essentials Год: 2023 Страниц: 515 Язык: английский Формат: pdf, epub Размер: 10.1 MB Unleash Your Potential and Transform Your Life with Python Essentials 1 — Your Gateway to Career Success! Are you stuck in a job that drains your energy? Do you yearn to achieve your full potential, all while earning a better income? Are you overwhelmed by repetitive, tedious tasks that eat away at your free time and joy? Step into a transformative learning experience with Python Essentials 1 — a meticulously crafted course that empowers you to claim the life you've always wanted. This book doesn't just teach you Python; it opens the door to a thrilling career as a professional programmer, and an opportunity to become part of a global community of people just like you. Every moment you invest in learning equips you to tackle real-world challenges with Python, setting you on a fast-track to becoming an in-demand professional. Python is one of the fastest growing programming languages in the world, and is used in almost every sector and industry, from gaming, to medicine, to nuclear physics. It is essential for any would-be programmer to have at least a foundational knowledge of Python. Luckily, Python is also one of the easiest programming languages to learn. With its focus on real-world words and syntax, a beginner learner of Python can start writing simple programs within minutes. All the code examples in the book have been tested on Python 3.4, 3.6, 3.7, 3.8, and 3.9, and should work with any subsequent versions of Python 3.x.
Название: New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms Автор: Раtriсiа Меlin, Оsсаr Саstillо Издательство: Springer Серия: Studies in Computational Intelligence Год: 2024 Страниц: 204 Язык: английский Формат: pdf (true), epub Размер: 35.6 MB We describe in this book new directions on the theoretical developments of fuzzy logic, neural networks, and meta-heuristic algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. There are papers with the main topics from type-1 to type-3 fuzzy logic, which basically consists of a group of papers that propose new concepts and algorithms based on type-1, type-2, and type-3 fuzzy logic and their applications. There are also papers that present the theory and practice of meta-heuristics in diverse application areas. There are interesting papers on different applications of fuzzy logic, neural networks, and hybrid intelligent systems in medical problems. In addition, we can find papers describing applications of fuzzy logic, neural networks, and meta-heuristics in robotics problems. Another set of papers presents the theory and practice of neural networks in diverse application areas, including convolutional and deep learning neural networks. There are also a group of papers that present the theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, we can find a group of papers describing the applications of fuzzy logic, neural networks, and meta-heuristics in pattern recognition problems. In conclusion, the edited book comprises contributions on diverse aspects of fuzzy logic, neural networks, and optimization of meta-heuristic algorithms for designing optimal hybrid intelligent systems and their application in areas such as intelligent control and robotics, pattern recognition, decision-making, time series prediction, and optimization of complex problems.
Название: Coding Examples from Simple to Complex: Applications in MATLAB Автор: Раul А. Gаgniuс Издательство: Springer Серия: Synthesis Lectures on Computer Science Год: 2024 Страниц: 275 Язык: английский Формат: pdf (true), epub Размер: 105.4 MB This book provides a comprehensive guide to Matlab, which stands as the cornerstone of modern education and is the main computer language driving development in science and engineering. The author introduces readers to the rich world of Matlab, taking them on a journey from the fundamentals to advanced topics, equipping them with the knowledge and skills needed to become a proficient Matlab developer or scientist. The book provides a treasure trove of practical examples, meticulously crafted to deepen the reader understanding of Matlab. This comprehensive exploration is designed to cater to novice learners as well as mature developers and scientists, equipping them with the requisite knowledge and competencies to harness the Matlab full potential in their respective projects. From the basics of variable naming and program structure to complex matrix operations, recursion, and object-oriented programming, this book covers it all. This book is part of a series of worksdesigned to present both the examples and their explanations in various computer languages, as close to a mirror version as possible. The chosen language is MATLAB, a programming language oriented towards scientists and engineers, focusing especially on numeric computation. This makes the book especially useful for students in engineering domains, such as mechanical engineering and electrical engineering, who often lack an introductory course in their language of choice.
Название: Simple Object Oriented Design (MEAP v9) Автор: Маuriсiо Аniсhе Издательство: Manning Publications Год: 2024 Страниц: 222 Язык: английский Формат: pdf, epub, mobi Размер: 10.1 MB Write object-oriented code that’s manageable, maintainable, and future-proof. Simple Object Oriented Design: A guide to creating clean, maintainable code is a comprehensive handbook of design practices, principles, and patterns that help simplify object-oriented software. The book is aimed at the working developer. There’s no perfection-chasing classroom theory that fails in practice—you’ll master “good enough” techniques that are effective in real-world environments. As your software grows and expands, every new feature and functionality potentially adds complexity to your codebase. The result? Bugs, crashes, and too much time spent detangling incomprehensible legacy code. Properly-applied design principles help you ensure your applications are easy-to-manage for the long term. For readers who know an object-oriented language. This book’s Java examples are easy to understand for any developer.
Название: Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology Автор: Моhаmmаd S. Оbаidаt, Раdmаlауа Nауаk, Nirаnjаn К. Rау Издательство: CRC Press Год: 2024 Страниц: 418 Язык: английский Формат: pdf (true) Размер: 14.1 MB The book is designed as a reference text and explores the concepts and techniques of IoT, Artificial Intelligence (AI), and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. Chapter 1 is an introductory chapter that discusses the challenges involved in IoT 2.0, the integration of IoT and big data, and the role of blockchain in IoT networks to ensure security. In Chapter 2, the authors have provided a detailed review of blockchain technology and its impact on the IoT network. However, several challenges are discussed in this chapter that need to be addressed and overcome before exploiting the full potential of the blockchain in IoT applications. Chapter 3 presents an overview of cloud architecture, services, and applications of cloud technology. A real-time cloud-based weather forecasting system is presented. The book is aimed primarily at advanced undergraduates and graduates studying Computer science, computer engineering, electrical engineering, information systems, computational sciences, Artificial Intelligence, and information technology. Researchers and professionals will also find this book very useful.
Название: Artificial Intelligence-Based System for Gaze-Based Communication Автор: B.G.D.А Маdhusаnkа, Surеswаrаn Rаmаdаss, Рrеmkumаr Rаjаgоpаl Издательство: CRC Press Год: 2024 Страниц: 173 Язык: английский Формат: pdf (true) Размер: 10.1 MB This book focuses on the artificial neural network-based system for gaze-based communication. It covers the feasible and practical collaboration of human–computer interaction (HCI) in which a user can intuitively express tasks using gaze-based communication. It will target the vast applications of gaze-based communication using computer vision, image processing, and Artificial Intelligence. Artificial Intelligence-Based System for Gaze-Based Communication introduces a novel method to recognize the implicit intention of users by using nonverbal communication in combination with computer vision technologies. A novel HCI framework is developed to enable implicit and intuitive gaze-based intention communications. This framework allows the users to intuitively express their intention using natural gaze cues. The book also focuses on robot caregiving technology, which can understand the user’s intentions using minimal interactions with the user. The authors examine gaze-based tracking applications for the assisted living of elderly people. The book examines detailed applications of eye-gaze communication for real-life problems. It also examines the advantages that most people can handle gaze-based communications because it requires very little effort, and most of the elderly and impaired can retain visual capability. This book is ideally designed for students, researchers, academicians, and professionals interested in exploring and implementing gaze-based communication strategies and those working in the field of Computer Vision and image processing.
Название: Linkerd: Up and Running: A Guide to Operationalizing a Kubernetes-native Service Mesh Автор: Jаsоn Моrgаn аnd Flуnn Издательство: O’Reilly Media, Inc. Год: 2024 Страниц: 150 Язык: английский Формат: epub (true) Размер: 10.1 MB With the massive adoption of microservices, operators and developers face far more complexity in their applications today. Service meshes can help you manage this problem by providing a unified control plane to secure, manage, and monitor your entire network. This practical guide shows you how the Linkerd service mesh enables cloud-native developers—including platform and site reliability engineers—to solve the thorny issue of running distributed applications in Kubernetes. Jason Morgan and Flynn draw on their years of experience at Buoyant—the creators of Linkerd—to demonstrate how this service mesh can help ensure that your applications are secure, observable, and reliable. You'll understand why Linkerd, the original service mesh, can still claim the lowest time to value of any mesh option available today. When the Linkerd2 rewrite started, the Rust programming language had been gaining attention for its memory safety, which enables developers to write code that avoids many of the memory management vulnerabilities inherent to C and C++, while still compiling to native code for high performance. This book is meant to help anyone who thinks it’s easier to get things done when creating, running, or debugging microservices applications, and is looking to Linkerd to help with that. You’ll need some basic knowledge of Kubernetes, the overall concept of running things in containers, and the Unix command line to get the most out of this book. Some familiarity with Prometheus, Helm, Jaeger, etc. will also be helpful, but isn’t really critical.
Название: Software Engineering for Data Scientists: From Notebooks to Scalable Systems (Final) Автор: Саthеrinе Nеlsоn Издательство: O’Reilly Media, Inc. Год: 2024 Страниц: 400 Язык: английский Формат: pdf, epub (true) Размер: 11.2 MB Data Science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering,and clearly explains how to apply the best practices from software engineering to Data Science. All the code examples in this book are written in Python, and many of the chapters describe Python-specific tools. In recent years, Python has become the most popular programming language for Data Science. Python has an extremely solid set of open source libraries for data science, with good backing and a healthy community of maintainers. Large trend-setting companies have chosen Python for their main ML frameworks, including TensorFlow (Google) and PyTorch (Meta). Because of this, Python appears to be especially popular among data scientists working on production Machine Learning code, where good coding skills are particularly important. In my experience, the Python community has been friendly and welcoming, with many excellent events that have helped me improve my skills. It’s my preferred programming language, so it was an easy choice for this book. This book is aimed at data scientists, but people working in closely related fields such as data analysts, Machine Learning (ML) engineers, and data engineers will also find it useful.
Название: Spatiotemporal Data Analytics and Modeling: Techniques and Applications Автор: Jоhn А, Sаthееsh Аbimаnnаn, Еl-Sауеd М. Еl-Аlfу Издательство: Springer Серия: Big Data Management Год: 2024 Страниц: 253 Язык: английский Формат: pdf (true), epub Размер: 18.9 MB With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with Artificial Intelligence and Machine Learning and Internet of Things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services. A “spatial data management system” is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with Artificial Intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of Artificial Intelligence and Machine Learning for spatiotemporal data analysis and modeling. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as Data Science and engineering, Big Data analytics and mining, Artificial Intelligence, Machine Learning and Deep Learning, cloud computing, and Internet of Things.
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