Litgu.ru - Литературный Гуру

Название: Federated Learning Over Wireless Edge Networks
Автор: Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong
Издательство: Springer
Год: 2022
Страниц: 175
Язык: английский
Формат: pdf
Размер: 10.1 MB

This book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge Intelligence over wireless edge networks. This provides readers with a concise introduction to the challenges and state-of-the-art approaches towards implementing FL over the wireless edge network. Then, in consideration of resource heterogeneity at the network edge, the authors provide multifaceted solutions at the intersection of network economics, game theory, and Machine Learning towards improving the efficiency of resource allocation for FL over the wireless edge networks. The confluence of edge computing and Artificial Intelligence (AI) has driven the rise of edge intelligence, which leverages the storage, communication, and computation capabilities of end devices and edge servers to empower AI implementation at scale closer to where data is generated. An enabling technology of edge intelligence is the privacy-preserving Machine Learning (ML) paradigm known as Federated Learning (FL).

Название: Improving Classifier Generalization: Real-Time Machine Learning based Applications
Автор: Rahul Kumar Sevakula, Nishchal K. Verma
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 181
Язык: английский
Формат: pdf
Размер: 10.1 MB

This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce Deep Learning (DL) in Fuzzy Rule based classifiers (FRCs). This monograph begins with the fundamentals of classifiers, bias-variance tradeoff, statistical learning theory (SLT), probably approximate correct (PAC) framework, maximum margin classifiers, and popular methods which improve generalization like regularization, boosting, transfer learning, dropout in Deep Learning, etc. Furthermore, the monograph solves four independent problems that have great relevance for certain real-time applications.

Название: AI powered Search (MEAP V13)
Автор: Trey Grainger, Doug Turnbull, Max Irwin
Издательство: Manning Publications
Год: 2022
Страниц: 355
Язык: английский
Формат: pdf (true)
Размер: 33.2 MB

AI-Powered Search teaches you the latest machine learning techniques to create search engines that continuously learn from your users and your content, to drive more domain-aware and intelligent search. Today’s search engines are expected to be smart, understanding the nuances of natural language queries, as well as each user’s preferences and context. AI-Powered Search is an authoritative guide to applying leading-edge data science techniques to search.

Название: Robotics for Programmers (MEAP)
Автор: Andreas Bihlmaier
Издательство: Manning Publications
Год: 2022 V04
Формат: True PDF
Страниц: 252
Размер: 13,1 Mb
Язык: English

Master the skills you need to program robots and other mechanical systems. Interesting examples and clear explanations guide you through programming robot arms, robots that drive and fly, and mobile manipulators.

Название: Ensemble Methods for Machine Learning (MEAP 6)
Автор: Gautam Kunapuli
Издательство: Manning Publications
Год: 2022
Страниц: 320
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB

In Ensemble Methods for Machine Learning you'll learn to implement the most important ensemble machine learning methods from scratch. Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results.

Название: Evolutionary Deep Learning: Genetic algorithms and neural networks (MEAP)
Автор: Micheal Lanham
Издательство: Manning Publications
Год: 2022 V10
Формат: True PDF
Страниц: 309
Размер: 13,1 Mb
Язык: English

Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning’s common pitfalls and deliver adaptable model upgrades without constant manual adjustment. Evolutionary Deep Learning is a guide to improving your deep learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser- known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning.

Название: The Well-Grounded Python Developer (MEAP)
Автор: Doug Farrel
Издательство: Manning Publications
Год: 2022 V8
Формат: True PDF
Страниц: 272
Размер: 10 Mb
Язык: English

The Well-Grounded Python Developer teaches you how to write real software in Python by building on the basic language skills you already have. When you’re new to Python, it can be tough to understand where and how to use its many language features. There’s a dizzying array of libraries, and it’s challenging to fit everything together. The Well-Grounded Python Developer builds on Python skills you’ve learned in isolation and shows you how to unify them into a meaningful whole.
The Well-Grounded Python Developer teaches you how to write real software in Python by building on the basic language skills you already have. It helps you see the big picture you can create out of small pieces, introducing concepts like modular construction, APIs, and the design of a basic web server. When you’re finished, you’ll have gone from having a basic understanding of Python's syntax, grammar, and libraries to using them as the tools of a professional software developer.

Название: Grokking Functional Programming
Автор: Michał Płachta
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 522
Размер: 62 Mb
Язык: English

There’s no need to fear going functional! This friendly, lively, and engaging guide is perfect for any perplexed programmer. It lays out the principles of functional programming in a simple and concise way that will help you grok what FP is really all about.

Название: jаvascript for Sound Artists Learn to Code with the Web Audio API, 2nd Edition
Автор: William Turner
Издательство: CRC Press
Год: 2023
Формат: True PDF
Страниц: 276
Размер: 10 Mb
Язык: English

Learn how to program jаvascript while creating interactive audio applications with jаvascript for Sound Artists: Learn to Code With the Web Audio API! William Turner and Steve Leonard showcase the basics of jаvascript language programing so that readers can learn how to build browser based audio applications, such as music synthesizers and drum machines. The companion website offers further opportunity for growth.Web Audio API instruction includes oscillators, audio file loading and playback, basic audio manipulation, panning and time. This book encompasses all of the basic features of jаvascript with aspects of the Web Audio API to heighten the capability of any browser.

Название: TensorFlow in Action
Автор: Thushan Ganegedara
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 680
Размер: 39,2 Mb
Язык: English

Unlock the TensorFlow design secrets behind successful deep learning applications! Deep learning StackOverflow contributor Thushan Ganegedara teaches you the new features of TensorFlow 2 in this hands-on guide.