Machine Learning Roadmap With Courses
I am becoming a machine learning engineer, and I have created a roadmap for beginners like you to become one as well, along with suggested courses for each step.
Step 1: Learn Programming
Start with learning the basics of programming, focusing on Python as it’s widely used in machine learning.
- Course: Python for Everybody by the University of Michigan on Coursera.
Step 2: Understand Mathematics and Statistics
Gain a solid understanding of linear algebra, calculus, probability, and statistics.
- Course: Mathematics for Machine Learning by Imperial College London on Coursera.
Step 3: Learn Data Analysis and Visualization
Learn how to analyze and visualize data using libraries like Pandas, NumPy, and Matplotlib.
- Course: Data Analysis with Python by IBM on Coursera.
Step 4: Introduction to Machine Learning
Get an introduction to machine learning concepts and algorithms.
- Course: Machine Learning by Andrew Ng on Coursera.
Step 5: Deep Learning
Dive into deep learning and neural networks.
- Course: Deep Learning Specialization by Andrew Ng on Coursera.
Step 6: Advanced Machine Learning
Explore advanced machine learning topics like reinforcement learning, unsupervised learning, and more.
- Course: Advanced Machine Learning Specialization by the National Research University Higher School of Economics on Coursera.
Step 7: Practical Experience
Work on real-world projects to gain practical experience.
- Platform: Kaggle – Participate in competitions and work on datasets.
Step 8: Learn to Deploy ML Models
Learn how to deploy machine learning models in production.
- Course: Machine Learning Engineering for Production (MLOps) Specialization by Andrew Ng on Coursera.
Step 9: Build a Portfolio
Create a portfolio showcasing your projects and skills.
- Platform: GitHub – Host your projects and code.
Step 10: Stay Updated and Keep Learning
Stay updated with the latest trends and advancements in machine learning.
- Resource: ArXiv – Read research papers and articles.
By following this roadmap and completing these courses, you’ll be well on your way to becoming a proficient machine learning engineer. If you have any questions , feel free to reach out me at [email protected]!
