6-Month Roadmap to Becoming a Machine Learning Engineer for Free
(Thanks to Brij kishore Pandey)
19 free lessons to get you interview-ready and move ahead of 90% of people.
Follow these steps in the specified order to ensure success:
๐ ๐ผ๐ป๐๐ต ๐ญ: ๐ ๐ฎ๐๐ต๐ฒ๐บ๐ฎ๐๐ถ๐ฐ๐ & ๐ฆ๐๐ฎ๐๐ถ๐๐๐ถ๐ฐ๐
Weeks 1-2: Study Linear Algebra concepts –ย https://lnkd.in/eabKGp_p
Weeks 3-4: Continue with Calculus and Probability & Statistics.
Practice problems to solidify your understanding –ย https://lnkd.in/ea2DmZ2d
๐ ๐ผ๐ป๐๐ต ๐ฎ: ๐ฆ๐ค๐ & ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ๐ ๐ฎ๐ป๐ฑ ๐ ๐ผ๐ฟ๐ฒ ๐ฆ๐๐ฎ๐๐ถ๐๐๐ถ๐ฐ๐
Weeks 1-2: Learn SQL basics –ย https://lnkd.in/ea2DmZ2d
Weeks 3-4: Continue studying Probability & Statistics. Apply statistical concepts in SQL where possible.
๐ ๐ผ๐ป๐๐ต ๐ฏ: ๐๐ผ๐ฟ๐ฒ ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐ ๐ผ๐ณ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด
Weeks 1-2: Go through Google’s ML Crash Course –ย https://lnkd.in/eT7NiGp6
Weeks 3-4: Go through Andrew Ng’s ML Course –ย https://lnkd.in/e964AiC7
๐ ๐ผ๐ป๐๐ต ๐ฐ: ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐ฆ๐ธ๐ถ๐น๐น๐ (๐ฃ๐๐๐ต๐ผ๐ป & ๐๐ถ๐ฏ๐ฟ๐ฎ๐ฟ๐ถ๐ฒ๐)
Weeks 1-2: Learn Python basics.ย https://lnkd.in/euyfHHxa
Weeks 3-4: Start with Python libraries for Machine Learning.
โข Scikit-learn –ย https://lnkd.in/eqFhCwXt
โข TensorFlow –ย https://lnkd.in/e6RWbe9h
โข PyTorch –ย https://lnkd.in/efhPxZPM
๐ ๐ผ๐ป๐๐ต ๐ฑ: ๐ ๐ผ๐ฑ๐ฒ๐น ๐ง๐ฟ๐ฎ๐ถ๐ป๐ถ๐ป๐ด & ๐ง๐๐ป๐ถ๐ป๐ด ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐พ๐๐ฒ๐, ๐๐ฑ๐๐ฎ๐ป๐ฐ๐ฒ๐ฑ ๐๐ฒ๐ฒ๐ฝ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ ๐ผ๐ฑ๐ฒ๐น๐
Weeks 1-2: Learn about model training and tuning techniques.
โข Intermediate ML –ย https://lnkd.in/e89AmkzE
โข Hyperparameter Tuning –ย https://lnkd.in/ezEnqeG2
Weeks 3-4: Start with Advanced Deep Learning Models.
โข Stanford’s CS231n (CNNs) –ย http://cs231n.github.io/
โข Deep Learning Book –ย https://lnkd.in/e_utEgZM
๐ ๐ผ๐ป๐๐ต ๐ฒ: ๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐, ๐ ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด, & ๐ ๐ฎ๐ถ๐ป๐๐ฒ๐ป๐ฎ๐ป๐ฐ๐ฒ ๐ฎ๐ป๐ฑ ๐ฅ๐ฒ๐๐๐บ๐ฒ ๐ฃ๐ฟ๐ฒ๐ฝ๐ฎ๐ฟ๐ฎ๐๐ถ๐ผ๐ป, ๐ฆ๐ผ๐ณ๐ ๐ฆ๐ธ๐ถ๐น๐น๐ & ๐ง๐ถ๐ฝ๐
Weeks 1-2: Learn about deployment, monitoring, and maintenance.
โข Docker –ย https://lnkd.in/esXHzx9k
โข Git –ย https://lnkd.in/esQ8FMxS
โข AWS ML –ย https://lnkd.in/eZcdQPee
โข Azure ML –ย https://lnkd.in/e5fvmvtk
Weeks 3-4: Prepare your resume and improve your soft skills Resume and Soft Skills & Tips, and work on projects.
โข 217 Machine Learning Projects –ย https://lnkd.in/e5kyv3Tv
Set realistic goals.
Practice is key โ so work on projects and apply your knowledge to real-world problems for the best learning experience.
Don’t try to learn everything about machine learning in 6 months.
Focus on learning the basics and then start working on your own projects.
Machine learning is a fascinating field with endless possibilities.