System design is an important component of any ML interview. Being able to efficiently solve open-ended machine learning problems is a key skill that can set you apart from other engineers and increase the level of seniority at which you’re hired.
This course helps you build that skill, and goes over some of the most popularly asked interview problems at big tech companies. You’ll walk step-by-step through solving these problems, focusing in particular on how to design machine learning systems rather than just answering trivia-style questions.
Once you’re done with the course, you’ll be able to not just ace the machine learning interview at any tech company, but impress them with your ability to think about systems at a high level. If you have a machine learning or system design interview coming up, you’ll find the course tremendously valuable.
System design is an important component of any ML interview. Being able to efficiently solve open-ended machine learning problem...Show More
TAKEAWAY SKILLS
Content
1.
Introduction
2 Lessons
Get familiar with the essentials of ML interviews and key steps in designing ML systems.
2.
Practical ML Techniques/Concepts
6 Lessons
Walk through practical ML strategies, covering performance, data collection, experimentation, embeddings, transfer learning, and model debugging.
3.
Search Ranking
8 Lessons
Work your way through designing search ranking systems, selecting metrics, and filtering results effectively.
4.
Feed Based System
9 Lessons
Build a foundation in designing and optimizing a Twitter feed system for user engagement.
5.
Recommendation System
7 Lessons
Generate personalized recommendations by leveraging data on user interactions, watch history, and preferences.
6.
Self-Driving Car: Image Segmentation
5 Lessons
See how it works to enhance self-driving cars with advanced image segmentation techniques.
7.
Entity Linking System
5 Lessons
Build on named entity linking (NEL) with recognition, disambiguation, metrics, architecture, and modeling insights.
8.
Ad Prediction System
7 Lessons
Learn how to use machine learning to optimize ad relevance and user engagement.
Certificate of Completion
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Course Author:
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