Insightful projects to master deep learning and neural network architectures using Python and Keras
Leverage Docker to deploying software at scale
Choose the smarter way to learn about containerizing your applications and running them in production.
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
Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries
Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries
Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.
Build a strong foundation of machine learning algorithms in 7 days