Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python
Design and implement professional-level programs by leveraging modern data structures and algorithms in Rust
Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3
Create interactive cross-platform games with the Godot Engine 3.0
Develop efficient and modern full stack applications using Spring Boot and React 16
Get actionable insights from your data using the data visualization capabilities of Microsoft Power BI
The common patterns and practices of the microservice architecture and their application using the Clojure programming language.
Discover how different software architectural models can help you solve problems, and learn best practices for the software development cycle
Explore various recipes to build games using popular artificial intelligence techniques and algorithms such as Navmesh navigation A*, DFS, and UCB1
Apply functional Reactive programming for simple and scalable state management with MobX
Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks
Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn