6-মাসের Free Courses and Roadmap একজন মেশিন লার্নিং ইঞ্জিনিয়ার হওয়ার জন্য
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আপনাকে interview-ready জন্য এবং 90% লোকের থেকে এগিয়ে যাওয়ার জন্য 19টি বিনামূল্যে Courses । সাফল্য নিশ্চিত করতে নির্দিষ্ট ক্রমে এই পদক্ষেপগুলি অনুসরণ করুন:
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.
- Enjoy the journey!
If you think I’ve missed something, please feel free to mention it in the comments section. Stay connected! special post only for group member, But you can share 