Hands On Github Actions

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Hands-on GitHub Actions

Chaminda Chandrasekara,Pushpa Herath
Hands on GitHub Actions Book PDF

Author : Chaminda Chandrasekara,Pushpa Herath
Publisher : Apress
Page : 162 pages
File Size : 51,9 Mb
Release : 2021-02-23
Category : Computers
ISBN : 1484264630

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Hands-on GitHub Actions by Chaminda Chandrasekara,Pushpa Herath Pdf

Implement continuous integration/continuous delivery (CI/CD) workflows for any application you develop through GitHub Actions. This book will give you an in-depth idea of implementation patterns, solutions for different technology builds, guidelines to implement your own custom components as actions, and usage of features available with GitHub Actions workflows, to set up CI/CD for your repositories. Hands-on GitHub Actions starts with an introduction to GitHub actions that gives an overview on CI/CD followed by an introduction to its workflows. Next, you will learn how to use variables in a GitHub workflow along with tokens via a REST API. Further, you will explore artifacts and caching dependencies in GitHub and use artifacts in subsequent jobs. Using self-hosted runners is discussed next where you will set up your own hardware and software to run GitHub actions. You will go through publishing packages and migrate to Azure DevOps Pipelines. Along the way, you will use Redis service and PostgreSQL service containers and create custom actions. Finally, you will work with GitHub apps and understand the syntax reference for GitHub Actions and workflows. What You Will Learn Create workflows for any platform and any language with GitHub Actions Develop custom GitHub actions to enhance features and usage of database and service containers Use hosted runners and create self-hosted runners for GitHub workflows Use GitHub Package registry with GitHub Actions to share and use packages Who This Book Is For DevOps teams who want to build quality CI/CD workflows.

Automating Workflows with GitHub Actions

Priscila Heller
Automating Workflows with GitHub Actions Book PDF

Author : Priscila Heller
Publisher : Packt Publishing Ltd
Page : 216 pages
File Size : 55,5 Mb
Release : 2021-11-11
Category : Computers
ISBN : 9781800569034

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Automating Workflows with GitHub Actions by Priscila Heller Pdf

Build, test, and deploy code right from your GitHub repository by automating, customizing, and executing software development workflows with GitHub Actions Key FeaturesEnhance your CI/CD and DevOps workflows using GitHub ActionsDiscover how to create custom GitHub Actions using Docker and JavaScriptGet up and running with building a CI/CD pipeline effectivelyBook Description GitHub Actions is one of the most popular products that enables you to automate development tasks and improve your software development workflow. Automating Workflows with GitHub Actions uses real-world examples to help you automate everyday tasks and use your resources efficiently. This book takes a practical approach to helping you develop the skills needed to create complex YAML files to automate your daily tasks. You'll learn how to find and use existing workflows, allowing you to get started with GitHub Actions right away. Moving on, you'll discover complex concepts and practices such as self-hosted runners and writing workflow files that leverage other platforms such as Docker as well as programming languages such as Java and JavaScript. As you advance, you'll be able to write your own JavaScript, Docker, and composite run steps actions, and publish them in GitHub Marketplace! You'll also find instructions to migrate your existing CI/CD workflows into GitHub Actions from platforms like Travis CI and GitLab. Finally, you'll explore tools that'll help you stay informed of additions to GitHub Actions along with finding technical support and staying engaged with the community. By the end of this GitHub book, you'll have developed the skills and experience needed to build and maintain your own CI/CD pipeline using GitHub Actions. What you will learnGet to grips with the basics of GitHub and the YAML syntaxUnderstand key concepts of GitHub ActionsFind out how to write actions for JavaScript and Docker environmentsDiscover how to create a self-hosted runnerMigrate from other continuous integration and continuous delivery (CI/CD) platforms to GitHub ActionsCollaborate with the GitHub Actions community and find technical help to navigate technical difficultiesPublish your workflows in GitHub MarketplaceWho this book is for This book is for anyone involved in the software development life cycle, for those looking to learn about GitHub Actions and what can be accomplished, and for those who want to develop a new skill to help them advance their software development career. If you are new to GitHub and GitHub Actions in general, then this book is for you. Basic knowledge of GitHub as a platform will help you to get the most out of this book.

Mastering GitHub Actions

Eric Chapman
Mastering GitHub Actions Book PDF

Author : Eric Chapman
Publisher : Packt Publishing Ltd
Page : 490 pages
File Size : 40,5 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9781805123309

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Mastering GitHub Actions by Eric Chapman Pdf

Explore the full spectrum of GitHub Actions to unlock your team's potential and become a pro in no time Key Features Master GitHub events to foster a self-service mindset Elevate your GitHub Actions knowledge to a whole new level through real-world examples Learn how to integrate with popular cloud-based products within your workflows Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionNavigating GitHub Actions often leaves developers grappling with inefficiencies and collaboration bottlenecks. Mastering GitHub Actions offers solutions to these challenges, ensuring smoother software development. With 16 extensive chapters, this book simplifies GitHub Actions, walking you through its vast capabilities, from team and enterprise features to organization defaults, self-hosted runners, and monitoring tools. You’ll learn how to craft reusable workflows, design bespoke templates, publish actions, incorporate external services, and introduce enhanced security measures. Through hands-on examples, you’ll gain best-practice insights for team-based GitHub Actions workflows and discover strategies for maximizing organization accounts. Whether you’re a software engineer or a DevOps guru, by the end of this book, you'll be adept at amplifying productivity and leveraging automation's might to refine your development process.What you will learn Explore GitHub Actions' features for team and business settings Create reusable workflows, templates, and standardized processes to reduce overhead Get to grips with CI/CD integrations, code quality tools, and communication Understand self-hosted runners for greater control of resources and settings Discover tools to optimize GitHub Actions and manage resources efficiently Work through examples to enhance projects, teamwork, and productivity Who this book is for This book is for developers with a foundation in CI/CD, code quality tools, and team communication keen on exploring GitHub Actions. It’s ideal for DevOps engineers, system administrators, software developers, IT specialists, automation aficionados, and university students focused on software integration and deployment. Those familiar with GitHub's ecosystem will find this content insightful.

GitHub Actions Cookbook

Michael Kaufmann
GitHub Actions Cookbook Book PDF

Author : Michael Kaufmann
Publisher : Packt Publishing Ltd
Page : 250 pages
File Size : 48,6 Mb
Release : 2024-04-30
Category : Computers
ISBN : 9781835469149

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GitHub Actions Cookbook by Michael Kaufmann Pdf

Authored by a Microsoft Regional Director, this book shows you how to leverage the power of the community-driven GitHub Actions workflow platform to automate repetitive engineering tasks Key Features Automate CI/CD workflows and deploy securely to cloud providers like Azure, AWS, or GCP using OpenID Create your own custom actions with Docker, JavaScript programming, or shell scripts and share them with others Discover ways to automate complex scenarios beyond the basic ones documented in GitHub Book DescriptionSay goodbye to tedious tasks! GitHub Actions is a powerful workflow engine that automates everything in the GitHub ecosystem, letting you focus on what matters most. This book explains the GitHub Actions workflow syntax, the different kinds of actions, and how GitHub-hosted and self-hosted workflow runners work. You’ll get tips on how to author and debug GitHub Actions and workflows with Visual Studio Code (VS Code), run them locally, and leverage the power of GitHub Copilot. The book uses hands-on examples to walk you through real-world use cases that will help you automate the entire release process. You’ll cover everything, from automating the generation of release notes to building and testing your software and deploying securely to Azure, Amazon Web Services (AWS), or Google Cloud using OpenID Connect (OIDC), secrets, variables, environments, and approval checks. The book goes beyond CI/CD by demonstrating recipes to execute IssueOps and automate other repetitive tasks using the GitHub CLI, GitHub APIs and SDKs, and GitHub Token. You’ll learn how to build your own actions and reusable workflows to share building blocks with the community or within your organization. By the end of this GitHub book, you'll have gained the skills you need to automate tasks and work with remarkable efficiency and agility.What you will learn Author and debug GitHub Actions workflows with VS Code and Copilot Run your workflows on GitHub-provided VMs (Linux, Windows, and macOS) or host your own runners in your infrastructure Understand how to secure your workflows with GitHub Actions Boost your productivity by automating workflows using GitHub's powerful tools, such as the CLI, APIs, SDKs, and access tokens Deploy to any cloud and platform in a secure and reliable way with staged or ring-based deployments Who this book is for This book is for anyone looking for a practical approach to learning GitHub Actions, regardless of their experience level. Whether you're a software developer, a DevOps engineer, anyone who has already experimented with Actions, or someone completely new to CI/CD tools like Jenkins or Azure Pipelines, you’ll find expert insights in this book. Basic knowledge of using Git and command lines is a must.

Ecological Forecasting

Michael C. Dietze
Ecological Forecasting Book PDF

Author : Michael C. Dietze
Publisher : Princeton University Press
Page : 285 pages
File Size : 42,6 Mb
Release : 2017-05-30
Category : Science
ISBN : 9781400885459

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Ecological Forecasting by Michael C. Dietze Pdf

An authoritative and accessible introduction to the concepts and tools needed to make ecology a more predictive science Ecologists are being asked to respond to unprecedented environmental challenges. How can they provide the best available scientific information about what will happen in the future? Ecological Forecasting is the first book to bring together the concepts and tools needed to make ecology a more predictive science. Ecological Forecasting presents a new way of doing ecology. A closer connection between data and models can help us to project our current understanding of ecological processes into new places and times. This accessible and comprehensive book covers a wealth of topics, including Bayesian calibration and the complexities of real-world data; uncertainty quantification, partitioning, propagation, and analysis; feedbacks from models to measurements; state-space models and data fusion; iterative forecasting and the forecast cycle; and decision support. Features case studies that highlight the advances and opportunities in forecasting across a range of ecological subdisciplines, such as epidemiology, fisheries, endangered species, biodiversity, and the carbon cycle Presents a probabilistic approach to prediction and iteratively updating forecasts based on new data Describes statistical and informatics tools for bringing models and data together, with emphasis on: Quantifying and partitioning uncertainties Dealing with the complexities of real-world data Feedbacks to identifying data needs, improving models, and decision support Numerous hands-on activities in R available online

Learning GitHub Actions

Brent Laster
Learning GitHub Actions Book PDF

Author : Brent Laster
Publisher : O'Reilly Media
Page : 0 pages
File Size : 48,6 Mb
Release : 2023-09-29
Category : Computers
ISBN : 109813107X

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Learning GitHub Actions by Brent Laster Pdf

Automate your software development processes with GitHub Actions, the continuous integration and continuous delivery platform that integrates seamlessly with GitHub. With this practical book, open source author, trainer, and DevOps director Brent Laster explains everything you need to know about using and getting value from GitHub Actions. You'll learn what actions and workflows are and how they can be used, created, and incorporated into your processes to simplify, standardize, and automate your work in GitHub. This book explains the platform, components, use cases, implementation, and integration points of actions, so you can leverage them to provide the functionality and features needed in today's complex pipelines and software development processes. You'll learn how to design and implement automated workflows that respond to common events like pushes, pull requests, and review updates. You'll understand how to use the components of the GitHub Actions platform to gain maximum automation and benefit. With this book, you will: Learn what GitHub Actions are, the various use cases for them, and how to incorporate them into your processes Understand GitHub Actions' structure, syntax, and semantics Automate processes and implement functionality Create your own custom actions with Docker, JavaScript, or shell approaches Troubleshoot and debug workflows that use actions Combine actions with GitHub APIs and other integration options Identify ways to securely implement workflows with GitHub Actions Understand how GitHub Actions compares to other options

Accelerate DevOps with GitHub

Michael Kaufmann,Thomas Dohmke,Donovan Brown
Accelerate DevOps with GitHub Book PDF

Author : Michael Kaufmann,Thomas Dohmke,Donovan Brown
Publisher : Packt Publishing Ltd
Page : 541 pages
File Size : 45,9 Mb
Release : 2022-09-09
Category : Computers
ISBN : 9781801814676

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Accelerate DevOps with GitHub by Michael Kaufmann,Thomas Dohmke,Donovan Brown Pdf

Take your DevOps and DevSecOps game to the next level by leveraging the power of the GitHub toolset in practice Key FeaturesRelease software faster and with confidenceIncrease your productivity by spending more time on software delivery and less on fixing bugs and administrative tasksDeliver high-quality software that is more stable, scalable, and secureBook Description This practical guide to DevOps uses GitHub as the DevOps platform and shows how you can leverage the power of GitHub for collaboration, lean management, and secure and fast software delivery. The chapters provide simple solutions to common problems, thereby helping teams that are already on their DevOps journey to further advance into DevOps and speed up their software delivery performance. From finding the right metrics to measure your success to learning from other teams' success stories without merely copying what they've done, this book has it all in one place. As you advance, you'll find out how you can leverage the power of GitHub to accelerate your value delivery – by making work visible with GitHub Projects, measuring the right metrics with GitHub Insights, using solid and proven engineering practices with GitHub Actions and Advanced Security, and moving to event-based and loosely coupled software architecture. By the end of this GitHub book, you'll have understood what factors influence software delivery performance and how you can measure your capabilities, thus realizing where you stand in your journey and how you can move forward. What you will learnEffectively measure software delivery performanceAdopt DevOps and lean management techniques in your teamsPlan, track, and visualize your work using GitHub Issues and ProjectsUse continuous delivery with GitHub Actions and PackagesScale quality through testing in production and chaos engineering“Shift left” security and secure your entire software supply chainUse DevSecOps practices with GitHub Advanced SecuritySecure your code with code scanning, secret scanning, and DependabotWho this book is for This book is for developers, solutions architects, DevOps engineers, and SREs, as well as for engineering or product managers who want to enhance their software delivery performance. Whether you're new to DevOps, already have experience with GitHub Enterprise, or come from a platform such as Azure DevOps, Team Foundation Server, GitLab, Bitbucket, Puppet, Chef, or Jenkins but struggle to achieve maximum performance, you'll find this book beneficial.

Learning GitHub Actions

Brent Laster
Learning GitHub Actions Book PDF

Author : Brent Laster
Publisher : "O'Reilly Media, Inc."
Page : 414 pages
File Size : 47,6 Mb
Release : 2023-08-17
Category : Computers
ISBN : 9781098131043

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Learning GitHub Actions by Brent Laster Pdf

Automate your software development processes with GitHub Actions, the continuous integration and continuous delivery platform that integrates seamlessly with GitHub. With this practical book, open source author, trainer, and DevOps director Brent Laster explains everything you need to know about using and getting value from GitHub Actions. You'll learn what actions and workflows are and how they can be used, created, and incorporated into your processes to simplify, standardize, and automate your work in GitHub. This book explains the platform, components, use cases, implementation, and integration points of actions, so you can leverage them to provide the functionality and features needed in today's complex pipelines and software development processes. You'll learn how to design and implement automated workflows that respond to common events like pushes, pull requests, and review updates. You'll understand how to use the components of the GitHub Actions platform to gain maximum automation and benefit. With this book, you will: Learn what GitHub Actions are, the various use cases for them, and how to incorporate them into your processes Understand GitHub Actions' structure, syntax, and semantics Automate processes and implement functionality Create your own custom actions with Docker, JavaScript, or shell approachesTroubleshoot and debug workflows that use actions Combine actions with GitHub APIs and other integration options Identify ways to securely implement workflows with GitHub Actions Understand how GitHub Actions compares to other options

Hands-On Music Generation with Magenta

Alexandre DuBreuil
Hands On Music Generation with Magenta Book PDF

Author : Alexandre DuBreuil
Publisher : Packt Publishing Ltd
Page : 348 pages
File Size : 51,9 Mb
Release : 2020-01-31
Category : Mathematics
ISBN : 9781838825768

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Hands-On Music Generation with Magenta by Alexandre DuBreuil Pdf

Design and use machine learning models for music generation using Magenta and make them interact with existing music creation tools Key FeaturesLearn how machine learning, deep learning, and reinforcement learning are used in music generationGenerate new content by manipulating the source data using Magenta utilities, and train machine learning models with itExplore various Magenta projects such as Magenta Studio, MusicVAE, and NSynthBook Description The importance of machine learning (ML) in art is growing at a rapid pace due to recent advancements in the field, and Magenta is at the forefront of this innovation. With this book, you’ll follow a hands-on approach to using ML models for music generation, learning how to integrate them into an existing music production workflow. Complete with practical examples and explanations of the theoretical background required to understand the underlying technologies, this book is the perfect starting point to begin exploring music generation. The book will help you learn how to use the models in Magenta for generating percussion sequences, monophonic and polyphonic melodies in MIDI, and instrument sounds in raw audio. Through practical examples and in-depth explanations, you’ll understand ML models such as RNNs, VAEs, and GANs. Using this knowledge, you’ll create and train your own models for advanced music generation use cases, along with preparing new datasets. Finally, you’ll get to grips with integrating Magenta with other technologies, such as digital audio workstations (DAWs), and using Magenta.js to distribute music generation apps in the browser. By the end of this book, you'll be well-versed with Magenta and have developed the skills you need to use ML models for music generation in your own style. What you will learnUse RNN models in Magenta to generate MIDI percussion, and monophonic and polyphonic sequencesUse WaveNet and GAN models to generate instrument notes in the form of raw audioEmploy Variational Autoencoder models like MusicVAE and GrooVAE to sample, interpolate, and humanize existing sequencesPrepare and create your dataset on specific styles and instrumentsTrain your network on your personal datasets and fix problems when training networksApply MIDI to synchronize Magenta with existing music production tools like DAWsWho this book is for This book is for technically inclined artists and musically inclined computer scientists. Readers who want to get hands-on with building generative music applications that use deep learning will also find this book useful. Although prior musical or technical competence is not required, basic knowledge of the Python programming language is assumed.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Aurélien Géron
Hands On Machine Learning with Scikit Learn Keras and TensorFlow Book PDF

Author : Aurélien Géron
Publisher : "O'Reilly Media, Inc."
Page : 851 pages
File Size : 40,5 Mb
Release : 2019-09-05
Category : Computers
ISBN : 9781492032595

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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron Pdf

Through a series of recent 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 practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets

Deep Reinforcement Learning Hands-On

Maxim Lapan
Deep Reinforcement Learning Hands On Book PDF

Author : Maxim Lapan
Publisher : Packt Publishing Ltd
Page : 547 pages
File Size : 41,8 Mb
Release : 2018-06-21
Category : Computers
ISBN : 9781788839303

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Deep Reinforcement Learning Hands-On by Maxim Lapan Pdf

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems. Key Features Explore deep reinforcement learning (RL), from the first principles to the latest algorithms Evaluate high-profile RL methods, including value iteration, deep Q-networks, policy gradients, TRPO, PPO, DDPG, D4PG, evolution strategies and genetic algorithms Keep up with the very latest industry developments, including AI-driven chatbots Book Description Recent developments in reinforcement learning (RL), combined with deep learning (DL), have seen unprecedented progress made towards training agents to solve complex problems in a human-like way. Google’s use of algorithms to play and defeat the well-known Atari arcade games has propelled the field to prominence, and researchers are generating new ideas at a rapid pace. Deep Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favorites such as Connect4. The book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on ‘grid world’ environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the boom in chatbots. What you will learn Understand the DL context of RL and implement complex DL models Learn the foundation of RL: Markov decision processes Evaluate RL methods including Cross-entropy, DQN, Actor-Critic, TRPO, PPO, DDPG, D4PG and others Discover how to deal with discrete and continuous action spaces in various environments Defeat Atari arcade games using the value iteration method Create your own OpenAI Gym environment to train a stock trading agent Teach your agent to play Connect4 using AlphaGo Zero Explore the very latest deep RL research on topics including AI-driven chatbots Who this book is for Some fluency in Python is assumed. Basic deep learning (DL) approaches should be familiar to readers and some practical experience in DL will be helpful. This book is an introduction to deep reinforcement learning (RL) and requires no background in RL.

Hands-On Julia Programming

Sambit Kumar Dash
Hands On Julia Programming Book PDF

Author : Sambit Kumar Dash
Publisher : BPB Publications
Page : 408 pages
File Size : 50,8 Mb
Release : 2021-10-21
Category : Computers
ISBN : 9789391030889

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Hands-On Julia Programming by Sambit Kumar Dash Pdf

Build production-ready machine learning and NLP systems using functional programming, development platforms, and cloud deployment. KEY FEATURES ● In-depth explanation and code samples highlighting the features of the Julia language. ● Extensive coverage of the Julia development ecosystem, package management, DevOps environment integration, and performance management tools. ● Exposure to the most important Julia packages that aid in Data and Text Analytics and Deep Learning. DESCRIPTION The Julia Programming language enables data scientists and programmers to create prototypes without sacrificing performance. Nonetheless, skeptics question its readiness for production deployments as a new platform with a 1.0 release in 2018. This book removes these doubts and offers a comprehensive glimpse at the language's use throughout developing and deploying production-ready applications. The first part of the book teaches experienced programmers and scientists about the Julia language features in great detail. The second part consists of gaining hands-on experience with the development environment, debugging, programming guidelines, package management, and cloud deployment strategies. In the final section, readers are introduced to a variety of third-party packages available in the Julia ecosystem for Data Processing, Text Analytics, and developing Deep Learning models. This book provides an extensive overview of the programming language and broadens understanding of the Julia ecosystem. As a result, it assists programmers, scientists, and information architects in selecting Julia for their next production deployments. WHAT YOU WILL LEARN ● Get to know the complete fundamentals of Julia programming. ● Explore Julia development frameworks and how to work with them. ● Dig deeper into the concepts and applications of functional programming. ● Uncover the Julia infrastructure for development, testing, and deployment. ● Learn to practice Julia libraries and the Julia package ecosystem. ● Processing Data, Deep Learning, and Natural Language Processing with Julia. WHO THIS BOOK IS FOR This book is for Data Scientists and application developers who want to learn about Julia application development. No prior Julia knowledge is required but knowing the basics of programming helps understand the objectives of this book. TABLE OF CONTENTS 1. Getting Started 2. Data Types 3. Conditions, Control Flow, and Iterations 4. Functions and Methods 5. Collections 6. Arrays 7. Strings 8. Metaprogramming 9. Standard Libraries Module 2. The Development Environment 10. Programming Guidelines in Julia 11. Performance Management 12. IDE and Debugging 13. Package Management 14. Deployment Module 3. Packages in Julia 15. Data Transformations 16. Text Analytics 17. Deep Learning

Hands-On Data Science and Python Machine Learning

Frank Kane
Hands On Data Science and Python Machine Learning Book PDF

Author : Frank Kane
Publisher : Packt Publishing Ltd
Page : 420 pages
File Size : 51,6 Mb
Release : 2017-07-31
Category : Computers
ISBN : 9781787280229

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Hands-On Data Science and Python Machine Learning by Frank Kane Pdf

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.

Hands-On Deep Learning with Go

Gareth Seneque,Darrell Chua
Hands On Deep Learning with Go Book PDF

Author : Gareth Seneque,Darrell Chua
Publisher : Packt Publishing Ltd
Page : 228 pages
File Size : 41,6 Mb
Release : 2019-08-08
Category : Computers
ISBN : 9781789347883

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Hands-On Deep Learning with Go by Gareth Seneque,Darrell Chua Pdf

Apply modern deep learning techniques to build and train deep neural networks using Gorgonia Key FeaturesGain a practical understanding of deep learning using GolangBuild complex neural network models using Go libraries and GorgoniaTake your deep learning model from design to deployment with this handy guideBook Description Go is an open source programming language designed by Google for handling large-scale projects efficiently. The Go ecosystem comprises some really powerful deep learning tools such as DQN and CUDA. With this book, you'll be able to use these tools to train and deploy scalable deep learning models from scratch. This deep learning book begins by introducing you to a variety of tools and libraries available in Go. It then takes you through building neural networks, including activation functions and the learning algorithms that make neural networks tick. In addition to this, you'll learn how to build advanced architectures such as autoencoders, restricted Boltzmann machines (RBMs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more. You'll also understand how you can scale model deployments on the AWS cloud infrastructure for training and inference. By the end of this book, you'll have mastered the art of building, training, and deploying deep learning models in Go to solve real-world problems. What you will learnExplore the Go ecosystem of libraries and communities for deep learningGet to grips with Neural Networks, their history, and how they workDesign and implement Deep Neural Networks in GoGet a strong foundation of concepts such as Backpropagation and MomentumBuild Variational Autoencoders and Restricted Boltzmann Machines using GoBuild models with CUDA and benchmark CPU and GPU modelsWho this book is for This book is for data scientists, machine learning engineers, and AI developers who want to build state-of-the-art deep learning models using Go. Familiarity with basic machine learning concepts and Go programming is required to get the best out of this book.

Hands-On Selenium WebDriver with Java

Boni Garcia
Hands On Selenium WebDriver with Java Book PDF

Author : Boni Garcia
Publisher : "O'Reilly Media, Inc."
Page : 422 pages
File Size : 43,6 Mb
Release : 2022-03-31
Category : Computers
ISBN : 9781098109974

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Hands-On Selenium WebDriver with Java by Boni Garcia Pdf

Get started with Selenium WebDriver, the open source library for automating tests to ensure your web application performs as expected. In this practical hands-on book, author Boni Garcia takes Java developers through Selenium's main features for automating web navigation, browser manipulation, web element interaction, and more, with ready-to-be-executed test examples. You'll start by learning the core features of Selenium (composed of WebDriver, Grid, and IDE) and its ecosystem. Discover why Selenium WebDriver is the de facto library for developing end-to-end tests on your web application. You'll explore ways to use advanced Selenium WebDriver features, including using web browsers in Docker containers or the DevTools protocol. Selenium WebDriver examples in this book are available on GitHub. With this book, you'll learn how to: Set up a Java project containing end-to-end tests that use Selenium WebDriver Conduct automated interaction with web applications Use strategies for managing browser-specific capabilities and cross-browser testing Interact with web forms, manage pop-up messages, and execute JavaScript Control remote browsers and use advanced browser infrastructure for Selenium WebDriver tests in the cloud Model web pages using object-oriented classes to ease test maintenance and reduce code duplication