Machine Learning Interview Preparation (Udacity)

Machine Learning Interview Preparation (Udacity)
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Machine Learning Interview Preparation (Udacity)
Prove your qualifications in your machine learning interviews. 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.

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Complete this course and hone your interview skills today!

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?


What You Will Learn


LESSON 1

Machine Learning Interview Guide

- Learn what to expect in a machine learning interview

- Approach your next interview as a conversation not a test

- Focus on the importance of industry-based research


LESSON 2

Machine Learning Interview Practice

- Predict rain

- identify fish

- detect plagiarism

- Reduce data dimensionality and explore how SVMs work

- Answer practice questions to test your skills in computer science fundamentals

- applications of machine learning algorithms and other key interview topics


LESSON 3

Technical Interviewing Techniques

- Learn how to answer interview questions in an engaging way

- Practice clarifying the question

- confirming inputs

- writing test cases

- and analyzing runtime

- Access unlimited mock interviews with Pramp!


Prerequisites and Requirements

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

- Python (Intermediate)

- Statistics and Probability (Intermediate)

- Algorithms (Basic)

- Supervised Machine Learning (Intermediate)

- Unsupervised Machine Learning (Intermediate)

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

- Machine Learning Engineer Nanodegree Program

- Data Analyst Nanodegree Program



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