Small Data

Engineering and Technology

Short Description

Learn how to identify small data and the basics of how to apply transfer learning and synthetic data generation to datasets.

Long Description

This course on Udacity, Introduction to Small Data in Machine Learning, provides an overview of the concepts and techniques related to small data. The course begins with an introduction to small data, its comparison to big data, and its relevance in real-world situations. It then delves into machine learning techniques for small data, including the application of transfer learning and synthetic data. The course explores transfer learning in relation to human learning and teaches how to apply it to machine learning scenarios. It also covers the differentiation between synthetic data and fake data and discusses the appropriateness of synthetic data for different scenarios. The course concludes with a project that involves utilizing transfer learning and synthetic data generation techniques to solve specific problems using small datasets.

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Course Details

Duration: 4 weeks
Difficulty: Intermediate
Format: Short Course
Price: USD399.00
Course Link

Udacity

Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.

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