Becoming proficient in machine learning involves a combination of learning foundational concepts, practical experience, and continuous exploration. Here’s a roadmap to get you started:

1. Learn the Basics: Start with understanding the fundamentals of mathematics, particularly linear algebra, calculus, probability, and statistics. These form the backbone of machine learning algorithms.
2. Programming Skills: Learn a programming language commonly used in machine learning such as Python or R. Python, with libraries like TensorFlow, PyTorch, and scikit-learn, is particularly popular.
3. Understanding Algorithms…