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.
Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency.
Build smart applications by implementing real-world artificial intelligence projects
Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow
Write modern natural language processing applications using deep learning algorithms and TensorFlow
Insightful projects to master deep learning and neural network architectures using Python and Keras
Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn
A fast-paced guide to get you started with cross-platform mobile application development with Google Flutter
Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries
Find out how to create visually stunning and feature-rich applications by empowering Python's built-in Tkinter GUI toolkit
Explore and master the most important algorithms for solving complex machine learning problems.
A comprehensive guide to get started with Java and gain insights into major concepts such as object-oriented, functional, and reactive programming