Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python
The common patterns and practices of the microservice architecture and their application using the Clojure programming language.
Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks
Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow
Learn Java programming concepts to design automation testing frameworks
Bring magic to your mobile apps using TensorFlow Lite and Core ML
Discover how different software architectural models can help you solve problems, and learn best practices for the software development cycle
Develop a solid understanding of the important command-line tools and utilities in Linux
Build your defense against web attacks with Kali Linux, including command injection flaws, crypto implementation layers, and web application security holes
Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.
Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn