Artwork

Anywhere Club에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Anywhere Club 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Player FM -팟 캐스트 앱
Player FM 앱으로 오프라인으로 전환하세요!

What does a career in Data Science look like? / Interview with Zura Seferbekova / IT Show

33:15
 
공유
 

Manage episode 389413329 series 3457106
Anywhere Club에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Anywhere Club 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

👉 Get Access to the Anywhere Club: https://bit.ly/awclub-en

In this episode Chris Howard is joined by data science and computer vision expert Zura Seferbekova for an in din-depthepth interview into her professional journey, recommendations for those starting out in the field and a few tips on tooling.

Zura has a background in Business Analysis and Product Management, with over 6 years of commitment to various Machine Learning projects, focusing specifically on computer vision and recommendation systems. She also shares her own expertise to give an overview of machine learning as well as how advances in AI are furthering the field of data science.

NAVIGATION

00:00 Introduction & Welcome by Chris Howard

01:20 Zura's Background

01:52 Career Pathway into Data Science

05:21 Data Science Tooling & Skills

09:37 Introduction to Computer Vision

17:40 Classical vs Generative Machine Learning

24:23 Advances & Applications of AI

31:40 Final Thoughts

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/52SrhF_-ok0

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/20

LINKS FROM THE EPISODE

🔹 Zura on Linkedin: https://www.linkedin.com/in/zura-seferbekova-aa8814113/

ANYWHERE CLUB ON INTERNET

🔸 Web: https://bit.ly/awclub-en

🔸 Discord: https://epa.ms/acd

🔸 Instagram: https://instagram.com/anywhere_club

  continue reading

33 에피소드

Artwork
icon공유
 
Manage episode 389413329 series 3457106
Anywhere Club에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Anywhere Club 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

👉 Get Access to the Anywhere Club: https://bit.ly/awclub-en

In this episode Chris Howard is joined by data science and computer vision expert Zura Seferbekova for an in din-depthepth interview into her professional journey, recommendations for those starting out in the field and a few tips on tooling.

Zura has a background in Business Analysis and Product Management, with over 6 years of commitment to various Machine Learning projects, focusing specifically on computer vision and recommendation systems. She also shares her own expertise to give an overview of machine learning as well as how advances in AI are furthering the field of data science.

NAVIGATION

00:00 Introduction & Welcome by Chris Howard

01:20 Zura's Background

01:52 Career Pathway into Data Science

05:21 Data Science Tooling & Skills

09:37 Introduction to Computer Vision

17:40 Classical vs Generative Machine Learning

24:23 Advances & Applications of AI

31:40 Final Thoughts

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/52SrhF_-ok0

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/20

LINKS FROM THE EPISODE

🔹 Zura on Linkedin: https://www.linkedin.com/in/zura-seferbekova-aa8814113/

ANYWHERE CLUB ON INTERNET

🔸 Web: https://bit.ly/awclub-en

🔸 Discord: https://epa.ms/acd

🔸 Instagram: https://instagram.com/anywhere_club

  continue reading

33 에피소드

모든 에피소드

×
 
Loading …

플레이어 FM에 오신것을 환영합니다!

플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.

 

빠른 참조 가이드

탐색하는 동안 이 프로그램을 들어보세요.
재생