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 Название: PHP 8 for Absolute Beginners: Basic Web Site and Web Application Development
Автор: Jason Lengstorf, Thomas Blom Hansen, Steve Prettyman
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 439
Размер: 10 Mb
Язык: English
Embark on a practical journey of building dynamic sites aided by multiple projects that can be easily adapted to real-world scenarios. This third edition will show you how to become a confident PHP developer, ready to take the next steps to being a Full Stack Developer and/or successful website or web application programmer.
You won't be swamped with every detail of the full PHP language up front – instead, you’ll be introduced to a small, versatile subset of PHP by learning to use it creatively to develop dynamic projects. You will see how to use variables, control structures, functions, and object-oriented programming. Secure programming techniques are used throughout the book to demonstrate the proper way to defend against hackers. You will learn how to plan and create MySQL/MariaDB databases and access them using PHP. During this process, you will be introduced to data objects, UI design concepts, and design patterns. Model-View-Controller (MVC) methodology will be used to keep a consistent logical design for each project. | |
Разместил: vitvikvas 1-10-2022, 07:09 | Комментарии: 0 | Подробнее
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 Название: Raspberry Pi Cookbook: Software and Hardware Problems and Solutions, 4th Edition (Fourth Early Release)
Автор: Dr. Simon Monk
Издательство: O’Reilly Media, Inc.
Год: 2022-10-03
Страниц: 610
Язык: английский
Формат: epub
Размер: 43.5 MB
If you've started to work with Raspberry Pi, you know that Raspberry Pi's capabilities are continually expanding. The fourth edition of this popular cookbook provides more than 200 hands-on recipes (complete with code) that show you how to run this tiny low-cost computer with Linux, program it with Python, hook it up to sensors and motors, and use it with the internet of things (IoT). This new edition includes new chapters on the Raspberry Pi Pico and machine learning with the Raspberry Pi. Although many languages can be used to program the Raspberry Pi, Python is the most popular. In fact, the Pi in Raspberry Pi is inspired by the word python. Although Python’s most recent version, Python 3, has been around for years, you’ll find that a lot of people still use Python 2. Python 3 (the default for Raspberry Pi OS) is run by using either of the commands python or Python 3. The examples in this book are written for Python 3 unless otherwise stated. | |
Разместил: Ingvar16 1-10-2022, 02:51 | Комментарии: 0 | Подробнее
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 Название: Graph-Powered Analytics and Machine Learning with TigerGraph
Автор: Victor Lee, Phuc Kien Nguyen and Xinyu Chang
Издательство: O’Reilly Media
Год: 2022-05-19: Fifth Release
Формат: ePUB
Размер: 15,1 Mb
Язык: English
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.
You'll explore a three-stage approach to deriving value from connected data: connect, analyze, and learn. Victor Lee, Xinyu Chan, and Gaurav Deshpande from TigerGraph present real use cases covering several contemporary business needs. By diving into hands-on exercises using TigerGraph Cloud, you'll quickly become proficient at designing and managing advanced analytics and machine learning solutions for your organization.
Use graph thinking to connect, analyze, and learn from data for advanced analytics and machine learning
Learn how graph analytics and machine learning can deliver key business insights and outcomes
Use five core categories of graph algorithms to drive advanced analytics and machine learning
Deliver a real-time 360-degree view of core business entities, including customer, product, service, supplier, and citizen
Discover insights from connected data through machine learning and advanced analytics | |
Разместил: vitvikvas 30-09-2022, 18:52 | Комментарии: 0 | Подробнее
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 Название: Object Oriented Modeling and Design Using UML, 2nd Edition
Автор: Ajit Singh, Anamika
Издательство: Independently published
Год: 2022
Страниц: 220
Язык: английский
Формат: epub
Размер: 10.2 MB
This book starts with requirements gathering & ends with implementation. In the process, you'll learn how to analyze and design classes, their relationships to each other in order to build a model of the problem domain. You'll also use common UML diagrams throughout this process, such as use-case, class, activity & other diagrams. This book is also suitable for use in postgraduate and graduate courses as well as in professional seminars and individual study. Because it deals primarily with a method of software development, it is most appropriate for courses in software engineering and as a supplement to courses involving specific object-oriented programming languages. The Unified Modeling Language™ (UML) is inherently object-oriented modeling language and was designed for use in object-oriented software applications. The applications could be based on the object-oriented technologies recommended by the Object Management Group (OMG), which owns the UML. | |
Разместил: Ingvar16 30-09-2022, 18:37 | Комментарии: 0 | Подробнее
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 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). | |
Разместил: Ingvar16 30-09-2022, 14:54 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 30-09-2022, 14:38 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 30-09-2022, 12:13 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: vitvikvas 30-09-2022, 12:03 | Комментарии: 0 | Подробнее
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 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. | |
Разместил: Ingvar16 30-09-2022, 12:01 | Комментарии: 0 | Подробнее
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 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.
Google Colab notebooks make it easy to experiment and play around with each exciting example. By the time you’ve finished reading Evolutionary Deep Learning, you’ll be ready to build deep learning models as self-sufficient systems you can efficiently adapt to changing requirements. | |
Разместил: vitvikvas 30-09-2022, 11:49 | Комментарии: 0 | Подробнее
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