Data Zen Podcast #3: Data Scientist vs Machine Learning Engineer

Episode 3 of the Data Zen Podcast podcast, hosted by Data,Zen,Community, titled "Data Zen Podcast #3: Data Scientist vs Machine Learning Engineer" was published on October 1, 2021 and runs 76 minutes.

October 1, 2021 ·76m · Data Zen Podcast

0:00 / 0:00

Summary

В новом выпуске Data Zen Podcast вместе с Павлом Гончаровым (Data Scientist) и Игорем Нестереней (Machine Learning Engineer) мы рассуждаем о том, чем отличается DS от ML-инженера, и так уж отличается ли? Нужно ли штудировать учебники по мат. статистике, чтобы научить модель машинного обучения отличать собачек от котиков и почему на проектах с машинным обучением даже проджект мэнеджеру приходится читать научные статьи? И когда уже искусственный интеллект если не поработит нас, то, хотя бы приблизится к самосознанию? Обо всём это в новом выпуске.

Episode Description

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

AI Zen with Andrew and Jen Andrew Freed & Jennifer Sukis A podcast where a designer and a data scientist break down how to create awesome AI experiences.Twitter: @AIZenPodcast Data Science Storytime Heavybit Data Science Storytime is a podcast all about data, science, stories, and time. Data Science Imposters Podcast Antonio Borges and Jordy Estevez: Data Science Imposters Explore data science, analytics, big data, machine learning as we discuss these topics. Join us on our journey. Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science Felipe Flores Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it.Join me, Felipe Flores, a Data Science executive with almost 20 years of experience in the space. Every week I speak with top industry leaders from around the world