Summary

In this course, you’ll learn exactly what to expect during a machine learning interview. You’ll cover all the common questions and technical strategies, and review a range of important topics, from machine learning algorithms to image categorization. You’ll also learn best practices for data structure questions and whiteboard problems, and at the end of the course, you’ll get unlimited access to mock interviews on Pramp. Complete this course and hone your interview skills today!

Expected Learning

In this course, you'll learn to approach an interview as a showcase, not as a test. You'll see why it’s critical to prepare through practice, not memorization. Experienced instructors will help you learn to avoid common interview pitfalls. Finally, you'll practice what you've learned in mock interviews. Your ultimate goal is to go beyond just showcasing your understanding. You want to show how you think through a problem, and come to a solution. Are you ready to ace your next interview?

Required Knowledge

Students with the following technical skills can expect to get the most out of the course:

1. Python (Intermediate)
2. Statistics and Probability (Intermediate)
3. Algorithms (Basic)
4. Supervised Machine Learning (Intermediate)
5. Unsupervised Machine Learning (Intermediate)

Don't yet have these technical skills but want to master them? Enroll in one of the following Nanodegree programs:

1. Machine Learning Engineer Nanodegree Program
2. Data Analyst Nanodegree Program