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Machine Learning Interview Preparation

Course

Sharpen your expertise in tackling complex data challenges and deep dive into real-world ML scenarios to articulate your solutions with confidence. Elevate your candidacy and stand out in competitive ML interviews.

Sharpen your expertise in tackling complex data challenges and deep dive into real-world ML scenarios to articulate your solutions with confidence. Elevate your candidacy and stand out in competitive ML interviews.

Last Updated September 7, 2023

Prerequisites:

No experience required

Course Lessons

Lesson 1

Mindset to Machine Learning Interview

Get inside the mind of your future employer. Identify business problems that are likely to crop up in the companies where you want to work and explore potential machine learning solutions.

Lesson 2

Machine Learning Interview Demo

Step into the role of the interviewer. Observe and analyze answers to technical and behavioral questions representative of a machine learning interview.

Lesson 3

Technical Interviewing Techniques

Learn about the “algorithm” for answering common technical interviewing questions. Practice and get tips for giving interviewers what they’re looking for.

Lesson 4

Practice Questions!

Practice as much as possible and you will make the best impression in an actual interview.

Taught By The Best

Photo of Arpan Chakraborty

Arpan Chakraborty

Instructor

Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.

Photo of Brynn Claypoole

Brynn Claypoole

Instructor

Brynn is a former Udacity employee who worked as Lead Data Analyst at Udacity before joining Facebook as Data Engineer. Currently, she is working as software engineer with 10x Genomics.

Photo of Horatio Thomas

Horatio Thomas

Android Course Manager, Udacity

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