Learning TensorFlow.jsGiven the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde (Google Developer Expert in machine learningand the web) provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers.
You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-readydeep learning systems with TensorFlow.js.
- Explore tensors, the most fundamental structure of machine learning;
- Convert data into tensors and back with a real-world example;
- Combine AI with the web using TensorFlow.js; ...
Mastering ShinyMaster the Shiny web framework - and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more.
Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant.
Get started: Discover how the major pieces of a Shiny app fit together
Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques
Master reactivity: Go deep int ...
Hands-On Data VisualizationTell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub.
Hands-On Data Visualization takes you step-by-step through tutorials, real-world examples, and online resources. This practical guide is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required.
- Build interactive charts and maps and embed them in your website;
- Understand the principles for designing effective charts and maps;
- Learn key data visualization concepts to help you choose the righ ...
Beginning Machine Learning in the BrowserApply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental coding ideas.
Using JavaScript programming features along with standard libraries, you'll first learn to design and develop interactive graphics applications. Then move further into neural systems and human pose estimation strategies. For training and deploying your ML models in the browser, TensorFlow.js libraries will be emphasized.
After conquering the fundamentals, you'll dig into the wilderness of ML. Employ the ML and Processing (P5) libraries for Human Gait analysis. Building up Gait recognition with themes, you'll come to understand a variety of ML implementation issu ...
Knative in ActionTake the pain out of managing serverless applications. Knative, a collection of Kubernetes extensions curated by Google, simplifies building and running serverless systems. Knative in Action guides you through the Knative toolkit, showing you how to launch, modify, and monitor event-based apps built using cloud-hosted functions like AWS Lambda. You'll learn how to use Knative Serving to develop software that is easily deployed and autoscaled, how to use Knative Eventing to wire together disparate systems into a consistent whole, and how to integrate Knative into your shipping pipeline.
With Knative, managing a serverless application's full lifecycle is a snap. Knative builds on Kubernetes orchestration features, making it easy to deploy and run serverless apps. It handles low-level chores - such as starting and stopping instances - so you can concentrate on features and behavior.
Knative in Action teaches you to build complex and efficient serverless applications. You'll dive int ...
Designing Cloud Data PlatformsCentralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is a hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you'll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You'll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyze it.
Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you ...
Data Pipelines with Apache AirflowA successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, keeping every process along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, Data Pipelines with Apache Airflow teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack.
Data pipelines manage the flow of data from initial collection through consolidation, cleaning, analysis, visualization, and more. Apache Airflow provides a single platform you can use to design, implement, monitor, and maintain your pipelines. Its easy-to-use UI, plug-and-play options, and flexible Python scripting make Airflow perfect for any data management task.
Data Pipelines with Apache Airflow teaches you how to build an ...
ASP.NET Core 3.1 SuccinctlyASP.NET Core 3.1 Succinctly specifically covers the web development part of the ASP.NET Core framework, which has gone through some improvements since it was first released. In this updated e-book, Simone Chiaretta Ugo Lattanzi guide readers through the foundations of the library, cover its basic features, and cover the new version of the web application frameworks ASP.NET MVC, Web API, and Blazor. At its end, this book shows you how to deploy applications to the cloud, specifically on Azure. ...
Generative AI with Python and TensorFlow 2In recent years, generative artificial intelligence has been instrumental in the creation of lifelike data (images, speech, video, music, and text) from scratch. In this book you will unpack how these powerful models are created from relatively simple building blocks, and how you might adapt these models to your own use cases.
You will begin by setting up clean containerized environments for Python and getting to grips with the fundamentals of deep neural networks, learning about core concepts like the perceptron, activation functions, backpropagation, and how they all tie together. Once you have covered the basics, you will explore deep generative models in depth, including OpenAI's GPT-series of news generators, networks for style transfer and deepfakes, and synergy with reinforcement learning.
As you progress, you will focus on abstractions where useful, and understand the "nuts and bolts" of how the models are composed in code, underpinned by detailed architecture diagrams. T ...
Mobile Development with .NET, 2nd EditionThe .NET 5 framework is a unified framework with capabilities that enable you to use Microsoft's developer ecosystem on a single platform. Xamarin, used for developing mobile applications, is one of the app model implementations for .NET Core infrastructure. This book will show you how to design, architect, and develop attractive, maintainable, and robust mobile applications for multiple platforms, including iOS, Android, and UWP using Xamarin, .NET Core, and Azure.
With the help of real-world scenarios, you'll explore different phases of application development using Xamarin, from environment setup, design, and architecture to publishing. Throughout the book, you'll learn how to develop mobile apps using Xamarin and .NET Standard. You'll even be able to implement a web-based backend composed of microservices with .NET Core using various Azure services including, but not limited to, Azure Active Directory, Azure Functions. As you advance, you'll create data stores using popular data ...