A guide to advances in machine learning for financial professionals, with working Python code
Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.
Build neural network models in text, vision and advanced analytics using PyTorch
Choose the smarter way to learn about containerizing your applications and running them in production.
Learn how to build scalable, resilient, and effective applications in Java that suit your software requirements.
Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries
Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner
Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency.
Learn the pytest way to write simple tests which can also be used to write complex tests
Get up and running with system programming concepts in Linux
Efficiently deploy and manage Kubernetes clusters on a cloud
A comprehensive guide to mastering the art of preventing your Linux system from getting compromised.