Artwork

Innhold levert av Daliana Liu. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Daliana Liu eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!

Machine learning in cybersecurity, computer vision in sports, from business analyst to ML engineer - Betty Zhang - The Data Scientist Show #072

55:12
 
Del
 

Manage episode 383313268 series 3012777
Innhold levert av Daliana Liu. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Daliana Liu eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Betty Zhang is a data scientist currently working at a cloud security company, previously she was a data scientist at Amazon Web Services. Today we’ll talk about her computer vision projects in Sports, data science use cases in cyber security, from business major to data scientist, what’s her experience working in startups vs big tech companies. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.

Betty’s Linkedin: https://www.linkedin.com/in/betty-zhang-0bb63731/

Daliana's Twitter: https://twitter.com/DalianaLiu

Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/

(00:00:00) Introduction

(00:01:21) Computer Vision Project in Sports at AWS

(00:12:28) Challenges in computer vision

(00:14:02) Time allocation for ML projects

(00:15:22) 3 key skills for computer vision

(00:17:20) From business analyst to ML engineer

(00:18:14) How she got her data scientist job through Linkedin

(00:21:32) How she got into Amazon

(00:22:17) Three tech skills needed during Amazon interviews

(00:26:11) Why she joined a Cyber Security startup

(00:27:22) Three cybersecurity use cases

(00:29:47) Anomaly detection

(00:30:40) ML for cybersecurity

(00:34:43) Tech stacks Amazon vs Startups

(00:39:35) Startups vs big tech

(00:45:56) Balance learning and impact

(00:48:35) Advice for new data scientists

  continue reading

90 episoder

Artwork
iconDel
 
Manage episode 383313268 series 3012777
Innhold levert av Daliana Liu. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Daliana Liu eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Betty Zhang is a data scientist currently working at a cloud security company, previously she was a data scientist at Amazon Web Services. Today we’ll talk about her computer vision projects in Sports, data science use cases in cyber security, from business major to data scientist, what’s her experience working in startups vs big tech companies. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.

Betty’s Linkedin: https://www.linkedin.com/in/betty-zhang-0bb63731/

Daliana's Twitter: https://twitter.com/DalianaLiu

Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/

(00:00:00) Introduction

(00:01:21) Computer Vision Project in Sports at AWS

(00:12:28) Challenges in computer vision

(00:14:02) Time allocation for ML projects

(00:15:22) 3 key skills for computer vision

(00:17:20) From business analyst to ML engineer

(00:18:14) How she got her data scientist job through Linkedin

(00:21:32) How she got into Amazon

(00:22:17) Three tech skills needed during Amazon interviews

(00:26:11) Why she joined a Cyber Security startup

(00:27:22) Three cybersecurity use cases

(00:29:47) Anomaly detection

(00:30:40) ML for cybersecurity

(00:34:43) Tech stacks Amazon vs Startups

(00:39:35) Startups vs big tech

(00:45:56) Balance learning and impact

(00:48:35) Advice for new data scientists

  continue reading

90 episoder

Alle episoder

×
 
Loading …

Velkommen til Player FM!

Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.

 

Hurtigreferanseguide

Copyright 2024 | Sitemap | Personvern | Vilkår for bruk | | opphavsrett