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
Content
1.
Machine Learning Primer
5 Lessons
Get familiar with core machine learning principles, from feature engineering to model deployment.
2.
Video Recommendation
3 Lessons
Discover the logic behind developing and optimizing scalable video recommendation systems for enhanced user engagement.
3.
Feed Ranking
3 Lessons
Work your way through optimizing feed ranking with personalized models for enhanced user engagement.
4.
Ad Click Prediction
3 Lessons
Enhance your skills in designing and optimizing ad click prediction models for better ad performance.
5.
Rental Search Ranking
3 Lessons
Take a closer look at designing Airbnb's rental search ranking system with a booking prediction model and performance metrics.
6.
Estimate Food Delivery Time
3 Lessons
See how it works to design an accurate, scalable food delivery time estimation system.
7.
Conclusion
1 Lessons
Build on comprehensive insights into designing practical Machine Learning systems for diverse applications.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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