Artwork

Oxford University에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Oxford University 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!

Looking back on 4 years in data science

45:58
 
공유
 

Manage episode 284668876 series 1610930
Oxford University에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Oxford University 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.
Jonny Brooks-Bartlett, Senior machine learning engineer at Spotify, gives a talk on his experiences as a data scientist and as machine learning engineer in top rated companies around the world. It's been almost 4 years since I left academia to work as a data scientist in industry. In that time I've worked in several teams at a couple of companies. I've also spoken to many other data scientists and consulted literature to get a better picture of the current landscape. In this presentation I take you on my journey from the point at which I decided to become a data scientist to now becoming a senior machine learning engineer at a global music streaming service, Spotify. I'll describe the projects I've worked on and do a bit of a deep dive into a ranking system that I built whilst working at Deliveroo. Finally I'll discuss some observations that I have about data science in general that I hope will give a better idea about how data science works in industry and how it differs from what one might do in an academic setting. Brief bio: Jonny Brooks-Bartlett is a senior machine learning engineer at Spotify working on improving the search experience for customers. Outside of work Jonny is a keen science communicator delivering public talks on science maths and AI. He also enjoys sports and taking part in functional fitness competitions
  continue reading

51 에피소드

Artwork
icon공유
 
Manage episode 284668876 series 1610930
Oxford University에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Oxford University 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.
Jonny Brooks-Bartlett, Senior machine learning engineer at Spotify, gives a talk on his experiences as a data scientist and as machine learning engineer in top rated companies around the world. It's been almost 4 years since I left academia to work as a data scientist in industry. In that time I've worked in several teams at a couple of companies. I've also spoken to many other data scientists and consulted literature to get a better picture of the current landscape. In this presentation I take you on my journey from the point at which I decided to become a data scientist to now becoming a senior machine learning engineer at a global music streaming service, Spotify. I'll describe the projects I've worked on and do a bit of a deep dive into a ranking system that I built whilst working at Deliveroo. Finally I'll discuss some observations that I have about data science in general that I hope will give a better idea about how data science works in industry and how it differs from what one might do in an academic setting. Brief bio: Jonny Brooks-Bartlett is a senior machine learning engineer at Spotify working on improving the search experience for customers. Outside of work Jonny is a keen science communicator delivering public talks on science maths and AI. He also enjoys sports and taking part in functional fitness competitions
  continue reading

51 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