Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.
A guide to advances in machine learning for financial professionals, with working Python code
Insightful projects to master deep learning and neural network architectures using Python and Keras
An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms
Build neural network models in text, vision and advanced analytics using PyTorch
Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.
Your one-stop guide to learning and implementing artificial neural networks with Keras effectively
A comprehensive guide to get started with Java and gain insights into major concepts such as object-oriented, functional, and reactive programming
Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries
Leverage the features and libraries of Python to administrate your environment efficiently.
Learn to design, implement and secure your IoT infrastructure
Blend the power of Qt with OpenCV to build cross-platform computer vision applications