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AI for Healthcare with Keras and Tensorflow 2.0
AI for Healthcare with Keras and Tensorflow 2.0

Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries. This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers. Then it moves into the case studies. The case studies start with EHR data and how you can account for sub-populations using a multi-task setup when you are working on any downstream task. You also will try to predict ICD-9 codes using the same data. You will study transformer models. And you will be exposed to the challenges of applying modern ML techniques to highly sensitive data in healthcare using federated learning. You will look at semi-supervised approaches that are used in a low training data setting, a case very often observed in specialized domains such as healthcare. You will be introduced to applications of advanced topics such as the graph convolutional network and how you c ...
The CSS Handbook
The CSS Handbook

CSS, a shorthand for Cascading Style Sheets, is one of the main building blocks of the Web. Its history goes back to the 90's and along with HTML it has changed a lot since its humble beginnings. This handbook is aimed at a vast audience. - First, the beginner. I explain CSS from zero in a succinct but comprehensive way, so you can use this book to learn CSS from the basics. - Then, the professional. CSS is often considered like a secondary thing to learn, especially by JavaScript developers. They know CSS is not a real programming language, they are programmers and therefore they should not bother learning CSS the right way. I wrote this book for you, too. - Next, the person that knows CSS from a few years but hasn't had the opportunity to learn the new things in it. We'll talk extensively about the new features of CSS, the ones that are going to build the web of the next decade. CSS has improved a lot in the past few years and it's evolving fast. Even if you don't write CSS ...
Tableau Strategies
Tableau Strategies

If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through strategies for solving real-world analytics problems using Tableau. Starting with the basics and building toward advanced topics such as multidimensional analysis and user experience, you'll explore pragmatic and creative examples that you can apply to your own data. Staying competitive today requires the ability to quickly analyze and visualize data and make data-driven decisions. With this guide, data practitioners and leaders alike will learn strategies for building compelling and purposeful visualizations, dashboards, and data products. Every chapter contains the why behind the solution and the technical knowledge you need to make it work. Use this book as a high-value on-the-job reference guide to Tableau; Visualize different data types and tackle specific data challenges; Create compelling data visualizations, dashb ...
Data Science at the Command Line, 2nd Edition
Data Science at the Command Line, 2nd Edition

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools-useful whether you work with Windows, macOS, or Linux. You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, engineers, system administrators, and researchers. Obtain data from websites, APIs, databases, and spreadsheets; Perform scrub operations on text, CSV, HTM, XML, and JSON files; Explore data, compute descriptive statistics, and create visualizations; M ...
React Cookbook
React Cookbook

React helps you create and work on an app in just a few minutes. But learning how to put all the pieces together is hard. How do you validate a form? Or implement a complex multistep user action without writing messy code? How do you test your code? Make it reusable? Wire it to a backend? Keep it easy to understand? The React Cookbook delivers answers fast. Many books teach you how to get started, understand the framework, or use a component library with React, but very few provide examples to help you solve particular problems. This easy-to-use cookbook includes the example code developers need to unravel the most common problems when using React, categorized by topic area and problem. You'll learn how to: Build a single-page application in React using a rich UI; Create progressive web applications that users can install and work with offline; Integrate with backend services such as REST and GraphQL; Automatically test for accessibility problems in your application; Secure appli ...
Just Enough R
Just Enough R

If your job involves working with data in any manner, you cannot afford to ignore the R revolution! If your domain is called data analysis, analytics, informatics, data science, reporting, business intelligence, data management, big data, or visualization, you just have to learn R as this programming language is a game-changing sledgehammer. However, if you have looked at a standard text on R or read some of the online discussions, you might feel that there is a steep learning curve of six months or more to grok the language. I will debunk this myth through my book by focusing on practical essentials instead of theory. If you have programmed in some language in the past (whether that language be SAS, SPSS, C, C++, C#, Java, Python, Perl, Visual Basic, Ruby, Scala, shell scripts, or plain old SQL), even if you are rusty, this book will get you up and running with R in a single day, writing programs for data analysis and visualization. ...
High-Performance Caching with Nginx and Nginx Plus
High-Performance Caching with Nginx and Nginx Plus

You can cache static assets - more than half the payload needed to respond to many web requests - and even application?generated web pages (whether partial or complete). And you can use cache clusters and microcaching to increase the caching capability of your web applications while simplifying implementation and reducing operational complexity. Use Nginx caching and cache clustering to exponentially improve the performance of your website, at the same time reducing hardware requirements, complexity, and costs. This ebook gives you power tools to take your web infrastructure to the next level of performance. ...
Get Programming with Scala
Get Programming with Scala

Scala is a multi-style programming language for the JVM that supports both object-oriented and functional programming. Master Scala, and you'll be well-equipped to match your programming approach to the type of problem you're dealing with. Packed with examples and exercises, Get Programming with Scala is the perfect starting point for developers with some OO knowledge who want to learn Scala and pick up a few FP skills along the way. Scala developers are in high demand. This flexible language blends object-oriented and functional programming styles so you can write flexible, easy-to-maintain code. Because Scala runs on the JVM, your programs can interact seamlessly with Java libraries and tools. If you're comfortable writing Java, this easy-to-read book will get you programming with Scala fast. Get Programming with Scala is a fast-paced introduction to the Scala language, covering both Scala 2 and Scala 3. You'll learn through lessons, quizzes, and hands-on projects that bring yo ...
Deep Learning Patterns and Practices
Deep Learning Patterns and Practices

The big challenge of deep learning lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices is here to help. This unique guide lays out the latest deep learning insights from author Andrew Ferlitsch's work with Google Cloud AI. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome book collects and illuminates the most relevant insights from a decade of real world deep learning experience. You'll build your skills and confidence with each interesting example. Deep Learning Patterns and Practices is a deep dive into building successful deep ...
50 Ways to Avoid Find and Fix ASP.NET Performance Issues
50 Ways to Avoid Find and Fix ASP.NET Performance Issues

Read the tips and tricks that top developers from the .NET and SQL Server communities use to boost code and query performance in their applications. 50 tips from the .NET and SQL Server communities for boosting performance in your .NET application; Learn the secrets of your fellow developers and read advice from MVPs and other experts; Covers performance problems in .NET code, SQL Server queries, interactions between code and database, and more... ...
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