- Machine learning basics, including test-driven development and common algorithms such as neural networks, k-nearest neighbours and clustering.
- Applying code examples that use Python’s NumPy, Pandas, scikit-learn and SciPy data libraries to create new machine learning models.
- Developing platform-based, high-quality machine learning models using open-source tools and frameworks with Azure Machine Learning.
Thoughtful Machine Learning with Python: A Test-driven Approach
Overcome the complexity of building, training and deploying machine learning models, from the cloud to the edge. Explore machine learning fundamentals, machine learning with Python, techniques for improving models and developing viable frameworks for your machine learning solutions.
In this e-book from O’Reilly, Thoughtful Machine Learning with Python: A Test-driven Approach, explore hands-on exercises and Python code samples to learn about: