Gain insights into ML system design, state-of-the-art techniques, and best practices for scalable production. Learn from top researchers and stand out in your next ML interview.
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Machine Learning System Design is an important component of any ML interview. The ability to address problems, identify requirements, and discuss tradeoffs helps you stand out among hundreds of other candidates. Readers of this course able to get offers from Snapchat, Facebook, Coupang, Stitchfix and LinkedIn.
This course will help you understand the state of the practice on model techniques along with best practices in applying ML models in production at scale. Once you finished the course you can learn more use-cases at: http://mlengineer.io/
Once you're done with the course, you will be able to apply and leverage knowledge from top researchers at tech companies. You will have up to date knowledge in model techniques from hundreds of the latest research and industry papers. There is even a chance that the interviewers will be surprised at the depth of your knowledge.
Machine Learning System Design is an important component of any ML interview. The ability to address problems, identify requirem...Show More
WHAT YOU'LL LEARN
Improve your Machine Learning System Design skills. Apply the best techniques in order to structure and drive your interview.
Improve your Machine Learning System Design skills. Apply the best techniques in order to structure and drive your interview.
Show more
TAKEAWAY SKILLS
Machine Learning
System Design
Content
21 Lessons6 Quizzes2 Assessments
1.
Machine Learning Primer
5 Lessons
Get familiar with core machine learning principles, from feature engineering to model deployment.
Every Educative resource is designed by our team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who’ve shipped production code at scale and taught the theory behind it. The goal is to get you hands-on with the skills you need to stay ahead in today's constantly evolving tech landscape. No videos, no fluff — just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
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