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SUBSCRIBE TODAYData science is reshaping the world the same way PCs did 30 years ago, and every software developer on the planet realizes that understanding artificial intelligence, machine learning, and other technologies is just as important as understanding algorithms and data structures. In this easy-to-consume video, Frank La Vigne explains data science in terms every developer can understand and provides a compelling glimpse at the future of software development.
JavaScript isn't a classic object-oriented programming language, but with the right machinations, it can act like one. Prototype inheritance allows objects to "derive" from one another, similar to traditional class-based inheritance in languages such as C++, C#, and Java. Learn what prototype inheritance is, how it works, and how to put it work building sophisticated apps.
Queues are used to facilitate reliable message-based communication between services. Learn what queues are, why messaging communication with queues is frequently preferable to networking communication, and what implications queues have for the design and implementation of distributed cloud applications.
Deep learning is a subset of machine learning that relies on deep neural networks, and it is the root of modern AI. Learn what neural networks are and how to build and train them using Keras and TensorFlow.
Azure DevOps provides the tools and services that you need to manage software-development lifecycles. In the first video in this hands-on series, take a tour of Azure DevOps and set up a DevOps environment.
Blazor is an open-source Web framework that lets you build apps that run in the browser using C#, Razor, and HTML. Get a hands-on look at Blazor in this course from Microsoft's Jeff Fritz.
Optimizing performance is critical to the success of any Angular web app. Go deeper into modules and libraries and learn how lazy-loading parts of an Angular app can dramatically improve load times.
Continuous integration (CI) and Continuous Delivery (CD) are the heart of Azure DevOps. Learn how to use them to set up automated builds and automated deployments for your projects.
Principal Component Analysis (PCA) is a machine-learning technique for reducing the dimensionality of data. Learn what PCA is, how it works, and how to use it to build better machine-learning models.
Learn about the many options for deploying .NET 5.0 apps, including Framework-Dependent Deployments (FDD), Self-Contained Deployments (SCD), and Ready-to-Run (RTR) deployments.
Combined with Microsoft Power Apps, Power BI can help bring apps to life with stunning reports and visualizations. Learn how to fuse Power Apps with Power BI and benefit from the best that both products have to offer.