Applied Data Science: How to Become an ML Engineer

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Яндекс Практикум

Published on Streamed live on Oct 31, 2022
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We will tell you how to dive deeper into the field of machine learning if you already have a base. We will focus on applied knowledge on how to implement ML models. You will learn from practicing experts what the market expects from ML engineers today. We are in touch: Website https://practicum.yandex.ru VKontakte https://vk.com/yandex.practicum 00:00 Webinar topic 00:40 The learning process at Yandex Practicum 02:36 Introduction 03:43 Meet the speakers 06:01 What is the webinar about 06:46 Who is a machine learning engineer? 09:12 What is the difference between a machine learning engineer and a data science specialist? 11:32 Requirements for a Machine Learning Engineer and Their Typical Work Tasks 12:53 Full Workflow of a Machine Learning Project 18:40 Stages of MLOps* Deployment 23:57 Data Drift 27:00 Updating a Model via A/B Testing 38:47 Answers to Viewers' Questions 48:20 Popular Machine Learning Tasks in Russian Companies 56:54 The Machine Learning Engineer Course in Practicum 1:17:39 Answers to Viewers' Questions 1:28:09 End of the Webinar

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