Understanding Machine Learning algorithms starts with grasping their mathematical foundations, involving statistics, probability theory, and Linear Algebra. Subsequently, implementing these algorithms on real datasets demands a programming language equipped with modules facilitating ML development, such as MATLAB, Python, or R.
In essence:
- Mathematical Concepts
- Programming Skills
- Data Manipulation/Preprocessing
- Machine Learning Algorithms
- Exposure to Various Scenarios
- Hands-on Experience with End-to-End Projects
- Deployment of Models on Different Cloud Platforms.