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Название: MultiSensor and MultiTemporal Remote Sensing
Автор: Anil Kumar, Priyadarshi Upadhyay, Uttara Singh
Издательство: CRC Press
Год: 2023
Страниц: 178
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book elaborates fuzzy Machine Learning and Deep Learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields. There are numerous Machine Learning models available for use in a variety of applications. Machine Learning classifers can fall into statistical categories such as c-Means, maximum-likelihood classifers, and decision-tree categories, such as random forest and Classifcation and Regression Tree (CART).

Название: Python for Everyone: Learn and polish your coding skills in Python
Автор: Saurabh Chandrakar, Dr. Nilesh Bhaskarrao Bahadure
Издательство: BPB Publications
Год: 2023
Страниц: 364
Язык: английский
Формат: pdf, epub (true)
Размер: 10.2 MB

A hands-on guide that will help you to write clean and efficient code in Python. Python is one of the most popular programming languages in the world, with a vast community of developers and users. In order to start using Python effectively, it is important to have a strong understanding of its core concepts. The purpose of this book is to introduce readers with little to no programming experience to Python and provide them with the foundational knowledge and skills necessary to begin writing code in the language. By mastering Python, readers will be able to apply this technology to solve real-world problems and create useful applications. This book covers a wide range of topics, from basic syntax and data types to more advanced concepts along with a little touch of Data Science. Overall, the book provides a solid foundation for beginners to start their journey for getting trained in Python language.

Название: Granular, Fuzzy, and Soft Computing: A Volume in the Encyclopedia of Complexity and Systems Science, Second Edition
Автор: Tsau-Young Lin, Churn-Jung Liau, Janusz Kacprzyk
Издательство: Springer
Год: 2023
Страниц: 936
Язык: английский
Формат: pdf (true)
Размер: 26.2 MB

For this volume of ECSS, Second Edition, many entries have been updated to capture these new developments, together with new chapters on such topics as data clustering, outliers in data mining, qualitative fuzzy sets, and information flow analysis for security applications. Granulations can be seen as a natural and ancient methodology deeply rooted in the human mind. Many daily "things" are routinely granulated into sub "things": The topography of earth is granulated into hills, plateaus, etc., space and time are granulated into infinitesimal granules, and a circle is granulated into polygons of infinitesimal sides. Such granules led to the invention of calculus, topology and non-standard analysis. Formalization of general granulation was difficult but, as shown in this volume, great progress has been made in combing discrete and continuous mathematics under one roof for a broad range of applications in Data Science. Soft computing was coined by Zadeh probably in the early 1980s to describe it as a consortium of the following areas: fuzzy logic (later augmented with rough sets), neural networks, and evolutionary computations. In fact, originally, probabilistic reasoning and Machine Learning were added, but this had not been followed as these areas concern different problems and use different tools and techniques.

Название: Deep Cognitive Networks: Enhance Deep Learning by Modeling Human Cognitive Mechanism
Автор: Yan Huang, Liang Wang
Издательство: Springer
Серия: SpringerBriefs in Computer Science
Год: 2023
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Although Deep Learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system. Many researchers argue that one of the major reasons accounting for the performance gap is that Deep Learning models and the human cognitive system process visual information in very different ways. To mimic the performance gap there has been a trend to model various cognitive mechanisms from cognitive neuroscience, e.g., attention, memory, reasoning, and decision, based on Deep Learning models. This book unifies these new kinds of Deep Learning models and calls them deep cognitive networks, which model various human cognitive mechanisms based on Deep Learning models. As a result, various cognitive functions are implemented, e.g., selective extraction, knowledge reuse, and problem solving, for more effective information processing.

Название: Artificial Intelligence for Students: A comprehensive overview of AI's foundation, applicability, and innovation
Автор: Vibha Pandey
Издательство: BPB Publications
Год: 2023
Страниц: 249
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

A multifaceted approach to develop an understanding of AI and its potential applications. Artificial Intelligence (AI) is a discipline in Computer Science that focuses on developing intelligent machines, machines that can learn and then teach themselves. If you are interested in AI, this book can definitely help you prepare for future careers in AI and related fields. The book is aligned with the CBSE course, which focuses on developing employability and vocational competencies of students in skill subjects. The book is an introduction to the basics of AI. It is divided into three parts – AI-informed, AI-inquired and AI-innovate. It will help you understand AI's implications on society and the world. You will also develop a deeper understanding of how it works and how it can be used to solve complex real-world problems. Additionally, the book will also focus on important skills such as problem scoping, goal setting, data analysis, and visualization, which are essential for success in AI projects. Lastly, you will learn how decision trees, neural networks, and other AI concepts are commonly used in real-world applications.

Название: The AI-Powered Productivity Handbook
Автор: Jamal Faisal Almutawa
Издательство: Independently published
Год: 2023
Страниц: 167
Язык: английский
Формат: epub (true)
Размер: 45.1 MB

Unleash the power of productivity and revolutionize your work process with this essential guide. With cutting-edge techniques and tools, you can transform your efficiency and shorten delivery time from days to minutes. Using popular Artificial Intelligence (AI) platforms, including ChatGPT, this book shows you how to achieve superhuman productivity by leveraging AI technology to automate the heavy lifting. From personal to professional success, this book is your key to unlocking your full potential. Don't wait, start your productivity journey today. This book focuses on utilizing AI, particularly ChatGPT, along with other platforms like DALL-E and Midjourney. The book extensively employs AI for various purposes such as providing prompt examples and generating results, suggesting new ideas, proofreading, rephrasing, and other functions. Writing this book with the assistance of AI was a delightful experience, and I hope you enjoy reading it as much as I enjoyed creating it.

Название: Graph Data Science For Dummies, 2nd Neo4j Special Edition
Автор: Dr. Alicia Frame, Zach Blumenfeld
Издательство: For Dummies
Год: 2022
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

We are passionate about the utility and importance of Graph Data Science and graph analytics, so we wrote this book to help organizations better leverage graphs so they can make new discoveries and develop intelligent solutions faster. In this book, we focus on the commercial applications of graph analysis and graph-enhanced Machine Mearning (ML), which takes the form of Graph Data Science. We also use Neo4j graph technology to illustrate a graph data science platform. You take a quick look at graph data science and its uses before covering the journey of graph data science adoption. You also review Neo4j technology as a graph data science platform and walk through a fraud detection example. Graph approaches to data are exploding in the commercial world to better reveal meaning in data as well as forecast behavior of complex systems. This burst is due to the increasing connectedness of data, breakthroughs in scaling graph technology to enterprise-sized problems, excellent results when integrated with Machine Learning (ML) and Artificial Intelligence (AI) solutions, and more accessible tools for general analytics and Data Science teams.

Название: ChatGPT Empowers Your Prompt Engineering with AI Tools: Unleashing Infinite Possibilities/ GPT-4 Update
Автор: Davis Coleman
Издательство: Independently published
Год: 2023
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

Are you looking for innovative ways to transform your prompt engineering projects?! Look no further than ChatGPT - the powerful natural language processing tool that's taking the world by storm. In this must-read ebook, you'll discover how to harness the power of ChatGPT to streamline your engineering workflows, improve collaboration, and unlock new levels of innovation. Whether you're a seasoned engineering professional or just getting started with AI technology, "ChatGPT Empowers Your Prompt Engineering with AI Tools - Unleashing Infinite Possibilities" is a must-read resource to unlocking the full potential of chatgpt for your engineering projects. Get your copy today! and discover how ChatGPT can help take your business to the next level.

Название: Fun with Machine Learning: Simplify the Data Science process by automating repetitive and complex tasks using AutoML
Автор: Arockia Liborious, Dr. Rik Das
Издательство: BPB Publications
Год: 2023
Страниц: 271
Язык: английский
Формат: pdf, epub (true)
Размер: 10.8 MB

Learn how to use AutoML to leverage Machine Learning for solving business problems. “Fun with Machine Learning” is an essential guide for anyone looking to learn about machine learning and how it can be used to make informed business decisions. The book covers the basics of Machine Learning, providing an overview of key concepts and terminology. To fully understand Machine Learning, it is important to have a basic understanding of statistics and mathematics. The book provides a simple introduction to these topics, making it easy for you to understand the core concepts. One of the key features of the book is its focus on AutoML tools. It introduces you to different AutoML tools and explains how to use them to simplify the data science processes. The book also shows how Machine Learning can be used to solve real-world business problems, such as predicting customer churn, detecting fraud, and optimizing marketing campaigns.

Название: Introduction to Transfer Learning: Algorithms and Practice
Автор: Jindong Wang, Yiqiang Chen
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2023
Страниц: 333
Язык: английский
Формат: pdf (true), epub
Размер: 50.4 MB

Transfer learning is one of the most important technologies in the era of Artificial Intelligence and Deep Learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning. This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice. Machine Learning is a kind of important learning methodology of Artificial Intelligence, which has gained great proliferation in the past decades. Machine Learning makes it possible to learn knowledge from the data. Transfer learning, as an important branch of Machine Learning, focuses on the process of leveraging the learned knowledge to facilitate the learning of new ability, which increases the effectiveness and efficiency.