Build a strong foundation of machine learning algorithms in 7 days
Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.
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.
Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information
Enhance the power of NumPy and start boosting your scientific computing capabilities
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.
A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples
Implement classic and functional data structures and algorithms using Python
Insightful projects to master deep learning and neural network architectures using Python and Keras
Learn to implement complex data structures and algorithms using Python
An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms