Learn Machine Learning in 2025

Learn fundamental Python concepts: lists, dictionaries, for loops, if/else statements, list comprehension, class inheritance.

“What might not be so obvious is how much python you actually need to learn in the beginning.”

Build simple projects like a calculator, a simple website, or a snake game to practice Python.

“I would honestly just want to really have fun here but not spend too much time here”

Learn derivatives, integrals, vectors, matrices, probability theory (Bayes' rule), and useful math tricks.

“Learning machine learning does not require complex math”

Learn models like logistic regression, decision trees, and recommender systems. Implement ML pipelines and train models using TensorFlow.

“I would not want to skip this part”

Learn deep learning fundamentals and practical coding. Focus on Transformer architecture (Stanford CS224N).

“if I wanted to learn deep learning to a point where I could get a job as quickly as possible”

Deep dive into deep learning theory using 'Understanding Deep Learning'. Focus on theoretical understanding and practical exercises.

“if I really want to learn deep learning and then get a job at one of the top companies and even set me up for my path as a researcher”

Start with beginner-level projects and gradually progress to more challenging ones.

“there's nothing that teaches you a skill or a tool or anything better than actually applying it”

Build complex projects; re-implement research papers to deepen understanding.

“my favorite project to work on...is reimplementing a paper”

Write blog posts, create demos, and even publish papers to showcase your progress.

“I would want to somehow show my work and present myself”

Incorporate daily mindfulness exercises to manage stress and improve focus.

“Learning machine learning can be stressful; take breaks.”