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Podcasty
This book is packed with easy-to-follow guidelines that explain the workings of the many key data mining tools of R, which are used to discover knowledge from your data.You will learn how to perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. All chapters will guide you in acquiring the skills in a practical way. Most chapters also include a theoretical introduction that will sharpen your understanding of the subject matter and invite you to go further.The book familiarizes you with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, association rules, principal component analysis, multilevel modeling, k-NN, Naïve Bayes, decision trees, and text mining. It also provides a description of visualization techniques using the basic visualization tools of R as well as lattice for visualizing patterns in data organized in groups. This book is invaluable for anyone fascinated by the data mining opportunities offered by GNU R and its packages.
Bahaaldine Azarmi, Jeff Vestal, Shay Banon
While natural language processing (NLP) is largely used in search use cases, this book aims to inspire you to start using vectors to overcome equally important domain challenges like observability and cybersecurity. The chapters focus mainly on integrating vector search with Elastic to enhance not only their search but also observability and cybersecurity capabilities.The book, which also features a foreword written by the founder of Elastic, begins by teaching you about NLP and the functionality of Elastic in NLP processes. Here you’ll delve into resource requirements and find out how vectors are stored in the dense-vector type along with specific page cache requirements for fast response times. As you advance, you’ll discover various tuning techniques and strategies to improve machine learning model deployment, including node scaling, configuration tuning, and load testing with Rally and Python. You’ll also cover techniques for vector search with images, fine-tuning models for improved performance, and the use of clip models for image similarity search in Elasticsearch. Finally, you’ll explore retrieval-augmented generation (RAG) and learn to integrate ChatGPT with Elasticsearch to leverage vectorized data, ELSER's capabilities, and RRF's refined search mechanism.By the end of this NLP book, you’ll have all the necessary skills needed to implement and optimize vector search in your projects with Elastic.
Do you want to level up your Unity game development skills? Then look no further! This book is your one-stop solution to creating mesmerizing games with lifelike features and captivating gameplay.Written by a highly experienced Unity developer, this book emphasizes project organization, clean C# code, and Unity plugins, including the new Input System and Cinemachine. Mastering Unity Game Development with C# shows you how to structure projects effectively, write clean and modular code, utilize the power of Unity plugins, and design engaging game mechanics. You’ll also understand how to optimize user interfaces for a seamless player experience, manage game data efficiently, contribute to existing code bases, integrate third-party assets and APIs, and apply optimization techniques to enhance game performance.By the end of this book, you’ll have acquired the knowledge and skills that will empower you to create efficient and engaging games.
The history of graphical application development is long and complicated, with various development challenges that persist to this day. The mix of technologies involved and the need to use different programming languages led to a very steep learning curve for developers looking to build applications across multiple platforms.In Building Cross-Platform GUI Applications with Fyne, you'll understand how the Go language, when paired with a modern graphical toolkit such as Fyne, can overcome these issues and make application development much easier. To provide an easy-to-use framework for cross-platform app development, the Fyne project offers many graphical concepts and design principles that are outlined throughout this book.By working through five example projects, you'll learn how to build apps effectively, focusing on each of the main areas, including the canvas, layouts, file handling, widgets, data binding, and themes. The book will also show you how the completed applications can then be run on your desktop computer, laptop, and smartphone. After completing these projects, you will discover how to prepare applications for release and distribute them to platform marketplaces and app stores.By the end of this book, you'll be able to create cross-platform graphical applications with visually appealing user interfaces and concise code.
A network is a collection of computers, servers, mobile devices, or other computing devices connected for sharing data. This book will help you become well versed in basic networking concepts and prepare to pass Microsoft's MTA Networking Fundamentals Exam 98-366.Following Microsoft's official syllabus, the book starts by covering network infrastructures to help you differentiate intranets, internets, and extranets, and learn about network topologies. You’ll then get up to date with common network hardware devices such as routers and switches and the media types used to connect them together. As you advance, the book will take you through different protocols and services and the requirements to follow a standardized approach to networking. You’ll get to grips with the OSI and TCP/IP models as well as IPv4 and IPv6. The book also shows you how to recall IP addresses through name resolution. Finally, you’ll be able to practice everything you’ve learned and take the exam confidently with the help of mock tests. By the end of this networking book, you’ll have developed a strong foundation in the essential networking concepts needed to pass Exam 98-366.
A responsive graphical user interface (GUI) helps you interact with your application, improves user experience, and enhances the efficiency of your applications. With Python, you’ll have access to elaborate GUI frameworks that you can use to build interactive GUIs that stand apart from the rest.This Learning Path begins by introducing you to Tkinter and PyQt, before guiding you through the application development process. As you expand your GUI by adding more widgets, you'll work with networks, databases, and graphical libraries that enhance its functionality. You'll also learn how to connect to external databases and network resources, test your code, and maximize performance using asynchronous programming. In later chapters, you'll understand how to use the cross-platform features of Tkinter and Qt5 to maintain compatibility across platforms. You’ll be able to mimic the platform-native look and feel, and build executables for deployment across popular computing platforms.By the end of this Learning Path, you'll have the skills and confidence to design and build high-end GUI applications that can solve real-world problems.This Learning Path includes content from the following Packt products:Python GUI Programming with Tkinter by Alan D. MooreQt5 Python GUI Programming Cookbook by B. M. Harwani
It’s now more apparent than ever that security is a critical aspect of IT infrastructure, and that devastating data breaches can occur from simple network line hacks. As shown in this book, combining the latest version of Python with an increased focus on network security can help you to level up your defenses against cyber attacks and cyber threats.Python is being used for increasingly advanced tasks, with the latest update introducing new libraries and packages featured in the Python 3.7.4 recommended version. Moreover, most scripts are compatible with the latest versions of Python and can also be executed in a virtual environment.This book will guide you through using these updated packages to build a secure network with the help of Python scripting. You’ll cover a range of topics, from building a network to the procedures you need to follow to secure it. Starting by exploring different packages and libraries, you’ll learn about various ways to build a network and connect with the Tor network through Python scripting. You will also learn how to assess a network's vulnerabilities using Python security scripting. Later, you’ll learn how to achieve endpoint protection by leveraging Python packages, along with writing forensic scripts.By the end of this Python book, you’ll be able to use Python to build secure apps using cryptography and steganography techniques.
Mastering Go, now in its fourth edition, remains the go-to resource for real-world Go development. This comprehensive guide delves into advanced Go concepts, including RESTful servers, and Go memory management. This edition brings new chapters on Go Generics and fuzzy Testing, and an enriched exploration of efficiency and performance. As you work your way through the chapters, you will gain confidence and a deep understanding of advanced Go topics, including concurrency and the operation of the Garbage Collector, using Go with Docker, writing powerful command-line utilities, working with JavaScript Object Notation (JSON) data, and interacting with databases.You will be engaged in real-world exercises, build network servers, and develop robust command-line utilities. With in-depth chapters on RESTful services, the WebSocket protocol, and Go internals, you are going to master Go's nuances, optimization, and observability. You will also elevate your skills in efficiency, performance, and advanced testing.With the help of Mastering Go, you will become an expert Go programmer by building Go systems and implementing advanced Go techniques in your projects.
Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements.At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP.By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.
In this book, Pacifique Linjanja, a globally recognized software engineer and open-source contributor, shares his deep technical expertise and practical insights from his extensive experience delivering enterprise-level applications to unpack the full potential of NestJS, the cutting-edge Node.js framework.This book covers the core concepts, design patterns, and best practices for building scalable, high-performance applications with NestJS. You’ll learn REST API and GraphQL implementations, harness the power of microservices, and explore real-world case studies, including e-commerce, social networking, and ERP systems. The chapters provide step-by-step guidance for setting up your development environment with TypeScript and npm, structuring projects effectively, and using the Apollo Federation architecture to create efficient GraphQL APIs. This book offers hands-on guidance for testing and debugging APIs, handling exceptions, and validating data using pipes and guards, all while helping you build a complete NestJS application from scratch.By the end, you'll be ready to apply DevOps principles for continuous integration and deployment, as well as secure your NestJS applications using advanced techniques.
The Salesforce Certified Platform App Builder exam is for individuals who want to demonstrate their skills and knowledge in designing, building, and implementing custom applications using the declarative customization capabilities of Force.com. This book will build a strong foundation in Force.com to prepare you for the platform app builder certification exam. It will guide you through designing the interface while introducing the Lightning Process Builder. Next, we will implement business logic using various point and click features of Force.com. We will learn to manage data and create reports and dashboards. We will then learn to administer the force.com application by configuring the object-level, field-level, and record-level security. By the end of this book, you will be completely equipped to take the Platform App Builder certification exam.
Mastering FreeSWITCH. Advanced tips and tricks for advanced multimedia communication
Anthony Minessale II, Giovanni Maruzzelli, Russell Treleaven, Seven Du, ...
FreeSWITCH is one of the best tools around if you’re looking for a modern method of managing communication protocols through a range of different media. From real-time browser communication with the WebRTC API to implementing VoIP (voice over internet protocol), with FreeSWITCH you’re in full control of your projects. This book shows you how to unlock its full potential – more than just a tutorial, it’s packed with plenty of tips and tricks to make it work for you.Written by members of the team who actually helped build FreeSWITCH, it will guide you through some of the newest features of version 1.6 including video transcoding and conferencing. Find out how FreeSWITCH interacts with other tools and APIs, learn how to tackle common (and not so common) challenges ranging from high availability to IVR development and programming advanced PBXs. Great communication functionality begins with FreeSWITCH – find out how and get your project up and running today.
The migration of computing to the edge is the logical progression of where computing is performed on a global scale. Edge computing is not a new paradigm but a necessary technology to address issues such as latency, service charges, reliability, connectivity, and privacy. This book walks you through the definition and architecture of edge computing systems and why they are critical in today’s ecosystem of IoT devices and an “everything connected” world.You will start your journey with an introduction to different edge computing hardware platforms, which vary by use case. From there, you’ll explore operating systems and middleware packages that manage edge devices such as Azure IoT. Then, you will explore communication systems such as near-range Bluetooth and RFID as well as long-range systems such as 5G. Networking protocols will be covered, which are the heart of edge systems. Technologies such as MQTT, which make up the backbone of edge to cloud communication, are examined. Then, you will move on to edge applications such as edge predictive AI and federated computing. We wrap up by investigating the security and vulnerability envelope of edge systems.This book is intended to quickly familiarize you with edge systems technologies and use cases, without burdening you with complicated jargon and low-level details.
Angelica Lo Duca, Gideon Mendels
This book provides concepts and practical use cases which can be used to quickly build, monitor, and optimize data science projects. Using Comet, you will learn how to manage almost every step of the data science process from data collection through to creating, deploying, and monitoring a machine learning model.The book starts by explaining the features of Comet, along with exploratory data analysis and model evaluation in Comet. You’ll see how Comet gives you the freedom to choose from a selection of programming languages, depending on which is best suited to your needs. Next, you will focus on workspaces, projects, experiments, and models. You will also learn how to build a narrative from your data, using the features provided by Comet. Later, you will review the basic concepts behind DevOps and how to extend the GitLab DevOps platform with Comet, further enhancing your ability to deploy your data science projects. Finally, you will cover various use cases of Comet in machine learning, NLP, deep learning, and time series analysis, gaining hands-on experience with some of the most interesting and valuable data science techniques available.By the end of this book, you will be able to confidently build data science pipelines according to bespoke specifications and manage them through Comet.
Puppet: Mastering Infrastructure Automation
Puppet is a configuration management tool that allows you to automate all your IT configurations, giving you control. It was written for and by system administrators to manage large numbers of systems efficiently and prevent configuration drifts. Puppet gives you control of what you do to each node, when you do it, and how you do it.This Learning Path will take you from the basics of Puppet to extending it and then mastering it. We will start off with a primer on Puppet, its installation and get a sneak peek under its hood. We will then move on to designing and deploying your Puppet architecture, learning best practices for writing reusable and maintainable code, and executing, testing, and deploying Puppet across your systems. Finally, we will deal with problems of scale and exceptions in your code, automate workflows, and support multiple developers working simultaneously.This course is based on the following books: 1)Puppet 4 Essentials - Second Edition 2)Extending Puppet - Second Edition 3)Mastering Puppet - Second Edition
Working with themes in Drupal can be challenging, given the number of layers and APIs involved. Modernizing Drupal 10 Theme Development helps you explore the new Drupal 10’s theme layer in depth.With a fully implemented Drupal website on the one hand and a set of Storybook components on the other, you’ll begin by learning to create a theme from scratch to match the desired final layout. Once you’ve set up a local environment, you’ll get familiarized with design systems and learn how to map them to the structures of a Drupal website. Next, you’ll bootstrap your new theme and optimize Drupal’s productivity using tools such as webpack, Tailwind CSS, and Browsersync. As you advance, you’ll delve into all the theme layers in a step-by-step way, starting from how Drupal builds an HTML page to where the template files are and how to add custom CSS and JavaScript. You’ll also discover how to leverage all the Drupal APIs to implement robust and maintainable themes without reinventing the wheel, but by following best practices and methodologies. Toward the end, you’ll find out how to build a fully decoupled website using json:api and Next.js.By the end of this book, you’ll be able to confidently build custom Drupal themes to deliver state-of-the-art websites and keep ahead of the competition in the modern frontend world.
Brindha Priyadarshini Jeyaraman, Ludvig Renbo Olsen, Monicah Wambugu
With huge amounts of data being generated every moment, businesses need applications that apply complex mathematical calculations to data repeatedly and at speed. With machine learning techniques and R, you can easily develop these kinds of applications in an efficient way.Practical Machine Learning with R begins by helping you grasp the basics of machine learning methods, while also highlighting how and why they work. You will understand how to get these algorithms to work in practice, rather than focusing on mathematical derivations. As you progress from one chapter to another, you will gain hands-on experience of building a machine learning solution in R. Next, using R packages such as rpart, random forest, and multiple imputation by chained equations (MICE), you will learn to implement algorithms including neural net classifier, decision trees, and linear and non-linear regression. As you progress through the book, you’ll delve into various machine learning techniques for both supervised and unsupervised learning approaches. In addition to this, you’ll gain insights into partitioning the datasets and mechanisms to evaluate the results from each model and be able to compare them. By the end of this book, you will have gained expertise in solving your business problems, starting by forming a good problem statement, selecting the most appropriate model to solve your problem, and then ensuring that you do not overtrain it.
The second edition of Mastering Selenium 3.0 WebDriver starts by showing you how to build your own Selenium framework with Maven. You'll then look at how you can solve the difficult problems that you will undoubtedly come across as you start using Selenium in an enterprise environment and learn how to produce the right feedback when failing. Next, you’ll explore common exceptions that you will come across as you use Selenium, the root causes of these exceptions, and how to fix them. Along the way, you’ll use Advanced User Interactions APIs, running any JavaScript you need through Selenium; and learn how to quickly spin up a Selenium Grid using Docker containers. In the concluding chapters, you‘ll work through a series of scenarios that demonstrate how to extend Selenium to work with external libraries and applications so that you can be sure you are using the right tool for the job.
ServiceNow is the leading enterprise service management platform that enables the effective management of services in a modern enterprise.In this audiobook, you’ll learn how to avoid pitfalls that can challenge value realization, where to focus, how to balance tradeoffs, and how to get buy-in for complex decisions. You’ll understand the key drivers of value in ServiceNow implementation and how to structure your program for successful delivery. Moving ahead, you’ll get practical guidance on the methods and considerations in securely using ServiceNow. You’ll also learn how to set up a multi-instance environment including best practices, patterns and alternatives in the use and maintenance of a multi-instance pipeline. Later chapters cover methods and approaches to design processes that deliver optimal ROI. Further, you’ll receive tips for designing technical standards, designing for scale, ensuring maintainability, and building a supportable instance. Finally, you’ll focus on the innovative possibilities that can be unlocked in a ServiceNow journey which will help you to manage uncertainty and claim the value of being an early adopter.By the end of this audiobook, you’ll be prepared to lead or support a ServiceNow implementation with confidence that you’re bringing not only a solution but also making an impact in your organization.
Odoo is one of the fastest growing open source, business application development software products available. With announcement of Odoo 10, there are many new features added to Odoo and the face of business applications developed with Odoo has changed. This book will not only teach you how to build and customize business applications with Odoo, but it also covers all the new features that Odoo has to offer.This book is the latest resource on developing and customizing Odoo 10 applications. It comes packed with much more and refined content than its predecessor. It will start with building business applications from scratch and will cover topics such as module extensions, inheritance, working with data, user interfaces, and so on. The book also covers the latest features of Odoo 10, in addition to front end development, testing and debugging techniques. The book will also talk about Odoo Community and Odoo Enterprise.