WANT TO BECOME A ML ENGINEER?

 

ROADMAP TO BECOME A ML ENGINEER FOR FREE:

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 6-Month Roadmap to Becoming a Machine Learning Engineer for Free

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:

𝗠𝗼𝗻𝘁𝗵 𝟭: 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀

Weeks 1-2: Study Linear Algebra concepts - https://lnkd.in/eabKGp_p

Weeks 3-4: Continue with Calculus and Probability & Statistics.
Practice problems to solidify your understanding - https://lnkd.in/ea2DmZ2d

𝗠𝗼𝗻𝘁𝗵 𝟮: 𝗦𝗤𝗟 & 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 𝗮𝗻𝗱 𝗠𝗼𝗿𝗲 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀

Weeks 1-2: Learn SQL basics - https://lnkd.in/ea2DmZ2d

Weeks 3-4: Continue studying Probability & Statistics. Apply statistical concepts in SQL where possible.

𝗠𝗼𝗻𝘁𝗵 𝟯: 𝗖𝗼𝗿𝗲 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗼𝗳 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴

Weeks 1-2: Go through Google's ML Crash Course - https://lnkd.in/eT7NiGp6

Weeks 3-4: Go through Andrew Ng's ML Course - https://lnkd.in/e964AiC7

𝗠𝗼𝗻𝘁𝗵 𝟰: 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗦𝗸𝗶𝗹𝗹𝘀 (𝗣𝘆𝘁𝗵𝗼𝗻 & 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀)

Weeks 1-2: Learn Python basics. https://lnkd.in/euyfHHxa

Weeks 3-4: Start with Python libraries for Machine Learning.

• Scikit-learn - https://lnkd.in/eqFhCwXt
• TensorFlow - https://lnkd.in/e6RWbe9h
• PyTorch - https://lnkd.in/efhPxZPM

𝗠𝗼𝗻𝘁𝗵 𝟱: 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗧𝘂𝗻𝗶𝗻𝗴 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀, 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀

Weeks 1-2: Learn about model training and tuning techniques.

• Intermediate ML - https://lnkd.in/e89AmkzE
• Hyperparameter Tuning - https://lnkd.in/ezEnqeG2
  
Weeks 3-4: Start with Advanced Deep Learning Models.

• Stanford's CS231n (CNNs) - http://cs231n.github.io/
• Deep Learning Book - https://lnkd.in/e_utEgZM


𝗠𝗼𝗻𝘁𝗵 𝟲: 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁, 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, & 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗥𝗲𝘀𝘂𝗺𝗲 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻, 𝗦𝗼𝗳𝘁 𝗦𝗸𝗶𝗹𝗹𝘀 & 𝗧𝗶𝗽𝘀

Weeks 1-2: Learn about deployment, monitoring, and maintenance.

• Docker - https://lnkd.in/esXHzx9k
• Git - https://lnkd.in/esQ8FMxS
• AWS ML - https://lnkd.in/eZcdQPee
• Azure ML - https://lnkd.in/e5fvmvtk
  
Weeks 3-4: Prepare your resume and improve your soft skills Resume and Soft Skills & Tips, and work on projects.

• 217 Machine Learning Projects - https://lnkd.in/e5kyv3Tv

Set realistic goals.

Practice is key — 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.