Education and Teaching
In this course, you’ll learn exactly what to expect during a machine learning interview.
Prepare for machine learning interviews with the Machine Learning Interview Preparation course on Udacity. This comprehensive guide will teach you what to expect in a machine learning interview and how to approach it as a conversation rather than a test. You will learn the importance of industry-based research and gain hands-on experience through practice exercises such as predicting rain, identifying fish, and detecting plagiarism. Additionally, you will explore topics like reducing data dimensionality and understanding how SVMs work. The course also covers technical interviewing techniques, teaching you how to answer interview questions in an engaging manner. You will practice clarifying questions, confirming inputs, writing test cases, and analyzing runtime. To further enhance your skills, you will have access to unlimited mock interviews with Pramp.
by Udacity
In this course, you’ll learn exactly what to expect during a machine learning interview.
by Udacity
Prepare for data science interviews by practicing data analysis, machine learning, and data structur...
by Udacity
Learn how to use Apple's Core ML framework to build iOS apps with intelligent new features.
by Udacity
In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techni...
by Udacity
Gain the DevOps skills required to automate the various aspects and stages of building and monitorin...
by Udacity
Strengthen your machine learning skills and build practical experience by training, validating, and...
by Udacity
Implement machine learning based strategies to make trading decisions using real-world data.
by Udacity
Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to bu...
by Udacity
Learn the data science and machine learning skills required to build and deploy machine learning mod...
by Udacity
Learn what machine learning is and the steps involved in building and evaluating models. Gain in dem...