How to Learn Machine Learning From Scratch as an University Student – Data Science 101

Here are the steps to learning machine learning from scratch when you are still an university student:

– Develop a strong foundation in mathematics: Mathematics is the backbone of machine learning, so it’s important to have a solid understanding of linear algebra, calculus, and probability.

– Get familiar with programming languages: Machine learning requires programming knowledge, so you need to be proficient in at least one programming language, such as Python, R, or Java.

– Read introductory books and tutorials: Start with introductory books and tutorials to get a broad overview of the field and its various algorithms and techniques.

– Choose a learning platform: There are many platforms offering online courses and tutorials on machine learning, such as Coursera, edX, and Udemy. Choose a platform that suits your learning style