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.
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
Lesson 1
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
Step into the role of the interviewer. Observe and analyze answers to technical and behavioral questions representative of a machine learning interview.
Lesson 3
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 as much as possible and you will make the best impression in an actual interview.
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.
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.
Android Course Manager, Udacity
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