Discover hidden patterns and relationships in unstructured data with Python

Build highly secure, decentralized applications and conduct secure transactions

Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

Learn quick and practical methods for developing microservices

Tackle data analytics and machine learning challenges and build complex applications with R 3.5

Use machine learning libraries of R to build models that solve problems and predict business trends

Achieve your marketing goals with the data analytics power of Python

Become an expert C++ programmer by solving real-world programming problems

Learn to develop real-world applications powered by the latest advances in intelligent systems

Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

Strengthen your C# skills with functional programming, test-driven techniques by solving modern C# challenges

Develop informative and aesthetic visualizations that enable effective data analysis in less time

Hit the ground running with C++

Explore techniques to build 2D/3D applications using real-world examples

A practical guide to the tried-and-true production-ready MEAN stack, with additional tips, tricks, and best practices

Implement tried-and-true high availability and disaster recovery solutions with SQL Server

The Open Source revolution of .NET Core

Perform browser and Web UI automation using Selenium

Use Python and scikit-learn to get up and running with the hottest developments in machine learning

Get started with the development of real-world applications that are powered by the latest AI advances

Create modular and scalable applications with ease by using the best features of Node.js

Build powerful web applications suitable for the modern age using Angular