Machine learning and neural networks / Interview with the technical director of Yandex.Zen

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ITBeard

Published on Jun 25, 2020
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In this episode, you will learn about what machine learning is, what types of neural networks there are, what data sets are, and how a machine learning engineer differs from a data scientist. Our guest is Yandex.Zen CTO Anton Frolov. In addition, Anton has a story of an ordinary guy who did not shine with knowledge either at school or at university, but achieved a lot by his age. So, brew some tea/caffeine and let's go! 😉 ~~~~~~~~~~~~~~~ FAVORITE PARTNER ELBRUS CODING BOOTCAMP Elbrus is the best format for learning programming. The guys are recruiting for a new stream, more details here: https://clck.ru/NmqtM Starts on July 6. Entrance exams until the end of June, HURRY UP! 😎 ~~~~~~~~~~~~~~~ Anton's Linkedin: / anton-frolov-15912047 Email for communication: [email protected] Audio version of the issue: https://bit.ly/3dsavWt Materials from the issue: https://t.me/itbeard/393 ______________________________ ITBEARD ON THE INTERNET: 🔹 Website - https://itbeard.com 🔹 YouTube - / itbeard 🔹 SoundCloud - / itbeard 🔹 Discord - https://s.itbeard.com/discord 🔹 Telegram - https://t.me/itbeard 🔹 Instagram - / itbeard 🔸 Become a sponsor - https://www.youtube.com/itbeard/join ______________________________ 00:00 - Start 01:14 - About myself 07:55 - ADVERTISING 11:32 - Processor development 22:21 - About moving to Europe for permanent residence 24:51 - Transition to Kaspersky 28:06 - Transition to Yandex 34:29 - About PhD 37:41 - Transition to Zen 41:23 - Examples of algorithmic feeds 42:15 - What is Machine Learning 45:23 - About the ML hype 46:09 - Why they count on video cards 47:36 - In what areas is ML used 49:01 - When is it appropriate to use ML 50:11 - What is an ML specialist called and what does he do 52:16 - What is a data model 53:24 - Why is it important to choose a good model 56:55 - Who works in ML - gradations of specialists 1:00:16 - The difference between a data scientist and a machine learning engineer 1:04:41 - Is it possible to start learning ML on your laptop 1:05:59 - Types of machine learning models 1:10:26 - About neural networks 1:12:48 - Data labeling 1:13:57 - Problems in ML 1:15:26 - GAN - competing networks 1:19:36 - Self-learning models 1:22:09 - About Artificial Intelligence 1:27:17 - How to become an ML engineer 1:35:08 - About interviews 1:37:43 - Sources of knowledge for an ML specialist 1:39:07 - Hobbies and activities at work #itbeard #ityoutubersru

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