Курс Machine Learning Fundamentals

Payment
Обучение бесплатное
Certificate
Сертификация платная
Duration
3 месяца
О курсе

Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world?

In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms.

Using real-world case studies, you will learn how to classify images, identify salient topics in a corpus of documents, partition people according to personality profiles, and automatically capture the semantic structure of words and use it to categorize documents.

Armed with the knowledge from this course, you will be able to analyze many different types of data and to build descriptive and predictive models.

All programming examples and assignments will be in Python, using Jupyter notebooks.

Программа
Machine Learning Fundamentals
Understand machine learning’s role in data-driven modeling, prediction, and decision-making.
Machine Learning Fundamentals
Understand machine learning’s role in data-driven modeling, prediction, and decision-making.
Machine Learning Fundamentals
Understand machine learning’s role in data-driven modeling, prediction, and decision-making.
Что Вы изучите?
  • Classification, regression, and conditional probability estimation
  • Generative and discriminative models
  • Linear models and extensions to nonlinearity using kernel methods
  • Ensemble methods: boosting, bagging, random forests
  • Representation learning: clustering, dimensionality reduction, autoencoders, deep nets
Лекторы
Sanjoy Dasgupta
Sanjoy Dasgupta
Professor of Computer Science and Engineering UC San Diego
Sanjoy is Professor of Computer Science and Engineering at the University of California, San Diego. He received his A.B. from Harvard in 1993 and his Ph.D. from Berkeley in 2000, both in Computer Science.
Платформа
EdX
Эта платформа предоставляет все курсы бесплатно. Авторами выступают топовые университеты и корпорации, которые стараются удерживать стандарты качества. За несоблюдение дедлайнов, невыполнение домашнего задания студенты теряют баллы. Как и в других платформах, лекционные видео чередуются с практическими заданиями. Обучение проводится на английском, китайском, испанском, французском и хинди.
Machine Learning Fundamentals