Deep Learning - course RUB 36,820. from Netology, training 3 months, Date November 30, 2023.
Miscellaneous / / December 02, 2023
“Netology” is a quick way to learn internet promotion and online project management. Open classes, online intensives and interactive courses for quick learning.
Netology is an online university for the preparation and additional training of specialists in the most popular Internet professions. This university is taught by highly qualified specialists working in companies such as Google, Yandex, Mail.ru, Alfa-Bank and other major companies. Many of them are owners of their own successful online businesses.
Netology was founded in 2011. The co-founders of the site are entrepreneur Maxim Spiridonov, who is the general director of Netology, and his wife Yulia Spiridonova-Mikeda, who, in fact, came up with the concept of the project.
Such publications as RBC Daily, Vedomosti, Argumenty i Fakty, Lifehacker, Lenta.ru, Slon and many others have written about Netology.
Maxim Spiridonov himself writes a column for Forbes, is the author and presenter of the analytical program “Runetology”, the guests of which are major experts in the field of online business. Maxim took part in the creation and led dozens of major web projects, including such projects as the Pod.fm podcast terminal, magazine "ShkolaZhizni.ru", service "BobrDobr.ru", social bookmarking site Memori.ru, Internet encyclopedia Calend.ru and forex broker FreshForex. He is the author of the book “Who Controls the Russian Internet.” In general, it is clear that the man is a great expert in his field.
Netology is a resident of Skolkovo and has a state license (No. 037356 dated April 6, 2016)
The course examines classical and advanced machine learning algorithms and examines in detail the mathematical justifications of the methods being studied.
Department: Higher School of Management and Innovation (72 academic hours) Advanced training programs.
An introductory practical course on machine learning. The full cycle of building a solution is considered: from selecting the initial data (“.xlsx file”) through building a model and explaining to the end customer the features of the data and the specifics of the received result. Theoretical sections - classification, regression, predictions, ensembles - are given in overview mode, to the extent necessary for the correct construction and understanding of the examples being analyzed.