Название: jаvascript Absolute Beginner's Guide, Third Edition
Автор: Kirupa Chinnathambi
Издательство: Pearson Education
Год: 2023
Страниц: 624
Язык: английский
Формат: epub
Размер: 51.1 MB

Make the most of today’s jаvascript–even if youve never programmed anything before. jаvascript Absolute Beginner's Guide, Third Edition is the fastest way to learn jаvascript, starting with the basics and gradually going deeper and broader into all the techniques you need to begin building highly scalable, performant web apps and experiences. Do what you want, the way you want, one incredibly easy step at a time! Successfully learning a programming language is very similar to how you would approach learning a real-world language. You start off with the basics. Once you’ve gotten good at that, you move on to something a bit more advanced. This whole process just keeps repeating itself, and it never really ends. None of us ever truly stops learning. It just requires starting somewhere. To help you with the “starting somewhere” part, that is where this book comes in. This book is filled from beginning to end with all sorts of good (and hilarious, I hope!) stuff to help you learn jаvascript.

Название: Machine Learning Algorithms for Signal and Image Processing
Автор: Deepika Ghai, Suman Lata Tripathi, Sobhit Saxena
Издательство: Wiley-IEEE Press
Год: 2023
Страниц: 487
Язык: английский
Формат: pdf (true)
Размер: 18.7 MB

Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing. Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve Machine Learning tasks.

Название: Building Browser Extensions: Create Modern Extensions for Chrome, Safari, Firefox, and Edge
Автор: Matt Frisbie
Издательство: Apress
Год: 2023
Страниц: 561
Язык: английский
Формат: pdf, epub
Размер: 21.5 MB

Almost all web developers today have plenty of experience with building regular web page apps, but a lot of that knowledge doesn't transfer over when it comes to creating browser extensions. This book provides a complete reference for how to build modern browser extensions. Creating and deploying a browser extension is more like building a mobile app than a website. When you start building an extension you'll often find there are a large number of new concepts and idiosyncrasies to wrangle with. This book reveals how to successfully navigate around these obstacles and how to take advantage of the limited resources available. You'll see how a browser extensions work, their component pieces, and how to build and deploy them. Additionally, you'll review all the tricky bits of extension development that most developers have to learn through trial and error. Build a browser extension using modern jаvascript frameworks.

Название: Beginning Salesforce DX: Versatile and Resilient Salesforce Application Development
Автор: Ivan Harris
Издательство: Apress
Год: 2022
Страниц: 558
Язык: английский
Формат: pdf, epub
Размер: 21.8 MB

Refer to the practical guidance provided in this book to develop Salesforce custom applications in a more agile, collaborative, and resilient way using Salesforce Developer Experience (DX). You will learn how to use the Salesforce Command Line Interface (CLI) to simplify working with projects, metadata, data and orgs. The CLI integrates with your development tools of choice such as Visual Studio Code, and CI/CD tools to implement DevOps pipelines. Readers will also gain an understanding of the package development model, which improves application quality and maintainability by grouping metadata into highly cohesive, loosely coupled containers.

Название: Beginning Go Programming: Build Reliable and Efficient Applications with Go
Автор: Rumeel Hussain, Maryam Zulfiqar
Издательство: Apress
Год: 2022
Страниц: 272
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Understand and write programs in Go, a multi-paradigm language with built-in features for concurrent programming. This book enables developers to build software that is simple, reliable, and efficient. It'll also help beginners to start programming Go-based applications. Beginning Go Programming begins by explaining the programming fundamentals of the Go language, including basic syntax, data type and structures, and the use of functions and methods. Next, it covers string formatting, Unicode data handling, and how to use regular expressions in Go. Further, it discusses how to encode and decode JSON formatted data for Go applications, and how to work with HTTP in Go. It concludes by exploring concurrency and covering the most powerful features of Go, as well as tips and tricks related to it. After reading this book and working through its practical examples, you will be ready to begin programming your own Go-based applications.

Название: Beginning Kotlin: Build Applications with Better Code, Productivity, and Performance
Автор: Ted Hagos
Издательство: Apress
Год: 2023
Страниц: 241
Язык: английский
Формат: pdf, epub
Размер: 14.7 MB

This book introduces the Kotlin programming skills and techniques necessary for building applications. You'll learn how to migrate your Java programming skills to Kotlin, a Java Virtual Machine (JVM) programming language. The book starts with a quick tour of the Kotlin language and gradually walks you through the language in greater detail over the course of succeeding chapters. You’ll learn Kotlin fundamentals like generics, functional programming, type system, debugging, and unit testing. Additionally, with the book’s freely downloadable online appendices, you’ll discover how to use Kotlin for building Spring Boot applications, data persistence, and microservices.

Название: Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data (Eighth Release)
Автор: Victor Lee, Phuc Kien Nguyen, Xinyu Chang
Издательство: O’Reilly Media, Inc.
Год: 2022-11-22
Страниц: 149
Язык: английский
Формат: epub
Размер: 14.96 MB

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 dаta: 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.

Название: Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices
Автор: P.R Anisha, C. Kishor Kumar Reddy, Nhu Gia Nguyen
Издательство: CRC Press
Год: 2023
Страниц: 362
Язык: английский
Формат: pdf (true)
Размер: 26.5 MB

The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics.

Название: Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques
Автор: Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni
Издательство: Apress
Год: 2023
Страниц: 257
Язык: английский
Формат: pdf (true), epub
Размер: 43.9 MB

This book will teach you how to build recommender systems with Machine Learning algorithms using Python. Recommender systems have become an essential part of every internet-based business today. You'll start by learning basic concepts of recommender systems, with an overview of different types of recommender engines and how they function. Next, you will see how to build recommender systems with traditional algorithms such as market basket analysis and content- and knowledge-based recommender systems with NLP. The authors then demonstrate techniques such as collaborative filtering using matrix factorization and hybrid recommender systems that incorporate both content-based and collaborative filtering techniques. This is followed by a tutorial on building machine learning-based recommender systems using clustering and classification algorithms like K-means and random forest. The last chapters cover NLP, deep learning, and graph-based techniques to build a recommender engine. Each chapter includes data preparation, multiple ways to evaluate and optimize the recommender systems, supporting examples, and illustrations.

Название: Pandas for Everyone: Python Data Analysis, Second Edition
Автор: Daniel Chen
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2023
Страниц: 512
Язык: английский
Формат: epub
Размер: 57.3 MB

Manage and Automate Data Analysis with Pandas in Python. Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple data sets. Pandas for Everyone, 2nd Edition, brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world data science problems such as using regularization to prevent data overfitting, or when to use unsupervised Machine Learning methods to find the underlying structure in a data set.