Course “Machine Learning in Action”. This course (book excerpt) provides you with key points, solutions, and applied design patterns for creating easy-to-use, maintainable, and secure machine learning projects from initial idea to production.
What you will learn:
- How to evaluate data science problems to find the most effective solution
- Define the scope of a machine learning project based on user expectations and budget.
- Technological processes that minimize time loss and increase production speed.
- Design evaluation using standard prototyping and statistical testing
- Selecting the right technologies and tools for your project
- Creating a more understandable, maintainable, and testable code base.
- Automate the process of fixing errors and recording events
This course is suitable for people who:
- They have basic knowledge of machine learning and basic principles of object-oriented programming.