|
 |
|
 |
|
|
 |
|  |
|
Название: Recent Innovations in Artificial Intelligence and Smart Applications Автор: Mostafa Al-Emran, Khaled Shaalan Издательство: Springer Серия: Studies in Computational Intelligence Год: 2022 Страниц: 387 Язык: английский Формат: pdf (true) Размер: 10.1 MB
This book tackles the recent research trends on the role of AI in advancing automotive manufacturing, augmented reality, sustainable development in smart cities, telemedicine, and robotics. It sheds light on the recent AI innovations in classical Machine Learning, Deep Learning, Internet of Things (IoT), Blockchain, knowledge representation, knowledge management, Big data, and natural language processing (NLP). The edited book covers empirical and reviews studies that primarily concentrate on the aforementioned issues, which would assist scholars in pursuing future research in the domain and identifying the possible future developments of AI applications. The rapid emergence of Deep Learning (DL) algorithms has paved the way for bringing Artificial Intelligence (AI) services to end users. The intersection between edge computing and AI has brought an exciting area of research called edge artificial intelligence (Edge AI). |
Разместил: Ingvar16 5-10-2022, 03:09 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems Автор: Anupam Biswas, Can B. Kalayci, Seyedali Mirjalili Издательство: Springer Серия: Studies in Computational Intelligence Год: 2023 Страниц: 416 Язык: английский Формат: pdf (true) Размер: 10.15 MB
Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines in both science and technology. Generally speaking, the algorithms that come under SI domain are typically population-based meta-heuristics techniques and are mostly inspired by nature. This book strives to cover all the major SI techniques, including particle swarm optimization, ant colony optimization, firefly algorithm, dragonfly algorithm, cuckoo search, and many more. |
Разместил: Ingvar16 5-10-2022, 02:51 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: Data Visualization with Python and jаvascript, 2nd Edition Автор: Kyran Dale Издательство: O’Reilly Media Год: 2022-10-04: Ninth Release Формат: ePUB Страниц: 550 Размер: 25,4 Mb Язык: English
How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts–as well as Python and jаvascript developers–how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and jаvascript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while jаvascript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. |
Разместил: vitvikvas 5-10-2022, 00:56 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: Programming in Two Semesters: Using Python and Java Автор: Quentin Charatan, Aaron Kans Издательство: Springer Год: 2022 Формат: True PDF Страниц: 665 Размер: 29,8 Mb Язык: English
This highly accessible textbook teaches programming from first principles. In common with many programming courses, it uses Python as the introductory programming language before going on to use Java as the vehicle for more advanced programming concepts. |
Разместил: vitvikvas 4-10-2022, 19:01 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition Автор: Aurelien Geron Издательство: O’Reilly Media Год: 2022 Формат: ePUB Страниц: 751 Размер: 27,3 Mb Язык: English
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. |
Разместил: vitvikvas 4-10-2022, 18:31 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: Functional and Concurrent Programming: Core Concepts and Features Автор: Michel Charpentier Издательство: Pearson Год: 2022 Формат: PDF Страниц: 630 Размер: 10 Mb Язык: English
The functional and concurrent programming language features supported by modern languages can be challenging, even for experienced developers. These features may appear intimidating to OOP programmers because of a misunderstanding of how they work. Programmers first need to become familiar with the abstract concepts that underlie these powerful features. In Functional and Concurrent Programming, Michel Charpentier introduces a core set of programming language constructs that will help you be productive in a variety of programming languagesnow and in the future. Charpentier illustrates key concepts with numerous small, focused code examples, written in Scala, and with case studies that provide a thorough grounding in functional and concurrent programming skills. These skills will carry from language to languageincluding the most recent incarnations of Java. Using these features will enable developers and programmers to write high-quality code that is easier to understand, debug, optimize, and evolve. |
Разместил: vitvikvas 4-10-2022, 16:28 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: Tree-Based Methods for Statistical Learning in R: A Practical Introduction with Applications in R Автор: Brandon M. Greenwell Издательство: CRC Press Год: 2022 Страниц: 405 Язык: английский Формат: pdf (true) Размер: 29.1 MB
Tree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Building a strong foundation for how individual decision trees work will help readers better understand tree-based ensembles at a deeper level, which lie at the cutting edge of modern statistical and Machine Learning (ML) methodology. The book follows up most ideas and mathematical concepts with code-based examples in the R statistical language; with an emphasis on using as few external packages as possible. For example, users will be exposed to writing their own random forest and gradient tree boosting functions using simple for loops and basic tree fitting software (like rpart and party/partykit), and more. The core chapters also end with a detailed section on relevant software in both R and other opensource alternatives (e.g., Python, Spark, and Julia), and example usage on real data sets. While the book mostly uses R, it is meant to be equally accessible and useful to non-R programmers. |
Разместил: Ingvar16 4-10-2022, 13:59 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: Time Series for Data Science: Analysis and Forecasting Автор: Wayne A. Woodward, Bivin P. Sadler, Stephen D. Robertson Издательство: CRC Press Год: 2022 Страниц: 529 Язык: английский Формат: pdf (true), epub Размер: 63.8 MB
Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject. For software choice, we have created an R package tswge, which is available on CRAN to accompany this book. Because of the clearly described R syntax, students should not be required to have previous knowledge of R. The number of examples and the focus on participation by the reader to enter the provided R code will ground the students with the necessary R coding skills. In fact, this textbook could be a resource for an introductory course in R programming with time series applications. |
Разместил: Ingvar16 4-10-2022, 13:16 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: Artificial Intelligence: An Introduction for the Inquisitive Reader Автор: Robert H. Chen, Chelsea Chen Издательство: CRC Press Год: 2022 Страниц: 357 Язык: английский Формат: pdf (true), epub Размер: 16.0 MB
Artificial Intelligence: An Introduction for the Inquisitive Reader guides readers through the history and development of AI, from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence including Deep Blue, AlphaGo and even Texas Hold’em, followed by their historical background, so that AI can be seen as a natural development of mathematics and computer science. As the book moves forward, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing artificial intelligence as it is today. |
Разместил: Ingvar16 4-10-2022, 12:34 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: Captain Code: Unleash Your Coding Superpower with Python Автор: Ben Forta & Shmuel Forta Издательство: Pearson Education/Addison-Wesley Professional Год: 2022 Страниц: 401 Язык: английский Формат: pdf (true), epub Размер: 10.1 MB, 40.7 MB
Becoming a coder is all fun and games! Everyone should learn to code. Much like drawing and sketching, playing an instrument, cooking, or taking pictures and shooting videos, coding is a creative endeavor, which means it's a way to actually create stuff, and creating stuff is incredibly rewarding and satisfying. Sure, it's fun to spend hours on your phone looking at what other people have created; but that's nothing compared to the joy and satisfaction of creating things that other people consume and use. Yep, coding is fun! |
Разместил: Ingvar16 4-10-2022, 01:58 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
br>
|