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Contenido proporcionado por Anywhere Club. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Anywhere Club o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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What does a career in Data Science look like? / Interview with Zura Seferbekova / IT Show

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Manage episode 389413329 series 3457106
Contenido proporcionado por Anywhere Club. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Anywhere Club o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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

31 episodios

Artwork
iconCompartir
 
Manage episode 389413329 series 3457106
Contenido proporcionado por Anywhere Club. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Anywhere Club o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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

31 episodios

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