#spotifydesignforml search results
Thanks guys @spotifydesign, @maheen_sohail, @dqpdang! It was interesting ๐๐ค#SpotifyDesignforML #mluxnyc
Up next: @maheen_sohail sharing @facebookai and their approach for designing for the fufure! #spotifydesignforML #MLUXnyc
Top 3 questions from @spotifydesign ! 1. Ask the right Q's 2. Identify friction and automate it away 3. Go manual before going magical โจ๐ค #mluxnyc #spotifydesignforML
On getting more realistic avatars for getting more social context #mluxnyc #spotifydesignforml by @maheen_sohail
Mark from @spotifydesign sharing how they refine to make sure they are asking the right questions! #spotifydesignforml #mluxnyc
Facebookโs @maheen_sohail talks about how Portal videochatting screens use classifiers to figure out whatโs worth keeping in frame, but cinematographic technique to do the framing. #mluxnyc #spotifydesignforml
Matt from the personalization team at @spotifydesign sharing how they perceive working with ml #spotifydesignforml #mluxnyc
@maheen_sohail sharing how to help with social context using ML and VR, like using NLP and your voice! #mluxnyc #spotifydesignforML
@dqpdang sharing the chapters of the #PAIRguidebook (see above ๐๐ป๐๐ฝ) #spotifydesignforML #mluxnyc
Does ML not always meet your expectations? You're not alone! Be are when you design your ML and AI powered systems you meet users mental models! #mluxnyc #spotifydesignforML @dqpdang
"if you can't get to a good results with just heuristics, you probably won't get there with #ml" how @spotifydesign prototypes ML experiences and proving the user benefit as quickly as possible - it is important to go manual before you go magical! #mluxnyc #spotifydesignforml
Up next: @dqpdang from @GoogleDesign sharing how Google approaches #humancenteredML #SpotifydesignforML #mluxNYC
The data curation team at @spotifydesign process: 1. Define structure 2. Reduce friction 3. Track progress So important when annotators are trying to help create data for ML teams to improve the experience #mluxnyc #spotifydesignforML
@spotifydesign 's #discoverweekly is a great example of how ML reduces friction and brings joy to the end users #mluxnyc #spotifydesignforml
Up next - #datacuration team!! So important and integral for new ml features - including using human in the loop methods! #mluxnyc #spotifydesignforML
James sharing some killer examples of how ML engineering tackles problems in the #mlux space #mluxnyc #spotifydesignforml
#Recsplanations! The system adapts and gives you explanations to recommendations ! Love it! Helps give reasons and context to recs @spotifydesign #mluxnyc #spotifydesignforml
Trust and explainability are really important in building ML products: consider what are the risks if your user over or under trusts the system? @dqpdang from @GoogleDesign at @spotifydesign #spotifydesignforML #mluxnyc
Diane @spotifydesig sharing #UXwriting best practices keeping #ml explainable: 1. Set expectations 2. Don't over promise 3. Evolve with the user build trust with the user & help them understand why they might be recommended some things, updating the interface #spotifydesignforml
Big thanks to @spotifydesign @mluxsf for having me! I loved sharing out practical tips from the #PAIRguidebook and learning from the #mlux community in turn ๐ Check out more UX of ML pointers from the #SpotifyDesignForML event ๐ spotify.design/articles/2019-โฆ
Last month we hosted @spotifydesign, @facebookdesign and @GoogleDesign at our NYC #SpotifyDesignforML event. If you would like to find out how it went down, check out the event round up here to give you all the tea โ๏ธ spotify.design/articles/2019-โฆ
Last month we hosted @spotifydesign, @facebookdesign and @GoogleDesign at our NYC #SpotifyDesignforML event. If you would like to find out how it went down, check out the event round up here to give you all the tea โ๏ธ spotify.design/articles/2019-โฆ
How do you calibrate trust with users about the accuracy of ML predictions? Some design patterns suggestions here #spotifydesignforML
What are some design patterns to help with explainability and trust? Glad you asked! Check out the #pairguidebook for more too! Allow for user control and surfacing other options if ml is wrong (which it will be!) @dqpdang #spotifydesignforml #mluxnyc
Thanks guys @spotifydesign, @maheen_sohail, @dqpdang! It was interesting ๐๐ค#SpotifyDesignforML #mluxnyc
Facebookโs @maheen_sohail talks about how Portal videochatting screens use classifiers to figure out whatโs worth keeping in frame, but cinematographic technique to do the framing. #mluxnyc #spotifydesignforml
On getting more realistic avatars for getting more social context #mluxnyc #spotifydesignforml by @maheen_sohail
@maheen_sohail sharing how to help with social context using ML and VR, like using NLP and your voice! #mluxnyc #spotifydesignforML
Up next: @maheen_sohail sharing @facebookai and their approach for designing for the fufure! #spotifydesignforML #MLUXnyc
Actionable pointers!! ๐๐ฟ๐๐ฝ๐๐ป๐๐ผ๐๐พ on 3 awesome chapters User needs, Mental models, Explainability & Trust-- there's also 3 more chapters!! #PAIRguidebook #mluxNYC #spotifydesignforML pair.withgoogle.com thank you @dqpdang ๐๐คโจ@spotifydesign
What are some design patterns to help with explainability and trust? Glad you asked! Check out the #pairguidebook for more too! Allow for user control and surfacing other options if ml is wrong (which it will be!) @dqpdang #spotifydesignforml #mluxnyc
A guided tour from @dqpdang of the Mental Models and Explainability + Trust sections of @Googleโs #PAIRguidebook (and a disappointing Spongebob popsicle). #spotifydesignforML #mluxnyc
Trust and explainability are really important in building ML products: consider what are the risks if your user over or under trusts the system? @dqpdang from @GoogleDesign at @spotifydesign #spotifydesignforML #mluxnyc
Does ML not always meet your expectations? You're not alone! Be are when you design your ML and AI powered systems you meet users mental models! #mluxnyc #spotifydesignforML @dqpdang
@dqpdang sharing the chapters of the #PAIRguidebook (see above ๐๐ป๐๐ฝ) #spotifydesignforML #mluxnyc
Up next: @dqpdang from @GoogleDesign sharing how Google approaches #humancenteredML #SpotifydesignforML #mluxNYC
The data curation team at @spotifydesign process: 1. Define structure 2. Reduce friction 3. Track progress So important when annotators are trying to help create data for ML teams to improve the experience #mluxnyc #spotifydesignforML
Up next - #datacuration team!! So important and integral for new ml features - including using human in the loop methods! #mluxnyc #spotifydesignforML
#Recsplanations! The system adapts and gives you explanations to recommendations ! Love it! Helps give reasons and context to recs @spotifydesign #mluxnyc #spotifydesignforml
Diane @spotifydesig sharing #UXwriting best practices keeping #ml explainable: 1. Set expectations 2. Don't over promise 3. Evolve with the user build trust with the user & help them understand why they might be recommended some things, updating the interface #spotifydesignforml
Thanks guys @spotifydesign, @maheen_sohail, @dqpdang! It was interesting ๐๐ค#SpotifyDesignforML #mluxnyc
Top 3 questions from @spotifydesign ! 1. Ask the right Q's 2. Identify friction and automate it away 3. Go manual before going magical โจ๐ค #mluxnyc #spotifydesignforML
On getting more realistic avatars for getting more social context #mluxnyc #spotifydesignforml by @maheen_sohail
Mark from @spotifydesign sharing how they refine to make sure they are asking the right questions! #spotifydesignforml #mluxnyc
Facebookโs @maheen_sohail talks about how Portal videochatting screens use classifiers to figure out whatโs worth keeping in frame, but cinematographic technique to do the framing. #mluxnyc #spotifydesignforml
Matt from the personalization team at @spotifydesign sharing how they perceive working with ml #spotifydesignforml #mluxnyc
@maheen_sohail sharing how to help with social context using ML and VR, like using NLP and your voice! #mluxnyc #spotifydesignforML
Up next: @maheen_sohail sharing @facebookai and their approach for designing for the fufure! #spotifydesignforML #MLUXnyc
@dqpdang sharing the chapters of the #PAIRguidebook (see above ๐๐ป๐๐ฝ) #spotifydesignforML #mluxnyc
Does ML not always meet your expectations? You're not alone! Be are when you design your ML and AI powered systems you meet users mental models! #mluxnyc #spotifydesignforML @dqpdang
Up next: @dqpdang from @GoogleDesign sharing how Google approaches #humancenteredML #SpotifydesignforML #mluxNYC
"if you can't get to a good results with just heuristics, you probably won't get there with #ml" how @spotifydesign prototypes ML experiences and proving the user benefit as quickly as possible - it is important to go manual before you go magical! #mluxnyc #spotifydesignforml
The data curation team at @spotifydesign process: 1. Define structure 2. Reduce friction 3. Track progress So important when annotators are trying to help create data for ML teams to improve the experience #mluxnyc #spotifydesignforML
James sharing some killer examples of how ML engineering tackles problems in the #mlux space #mluxnyc #spotifydesignforml
@spotifydesign 's #discoverweekly is a great example of how ML reduces friction and brings joy to the end users #mluxnyc #spotifydesignforml
Up next - #datacuration team!! So important and integral for new ml features - including using human in the loop methods! #mluxnyc #spotifydesignforML
Actionable pointers!! ๐๐ฟ๐๐ฝ๐๐ป๐๐ผ๐๐พ on 3 awesome chapters User needs, Mental models, Explainability & Trust-- there's also 3 more chapters!! #PAIRguidebook #mluxNYC #spotifydesignforML pair.withgoogle.com thank you @dqpdang ๐๐คโจ@spotifydesign
#Recsplanations! The system adapts and gives you explanations to recommendations ! Love it! Helps give reasons and context to recs @spotifydesign #mluxnyc #spotifydesignforml
A guided tour from @dqpdang of the Mental Models and Explainability + Trust sections of @Googleโs #PAIRguidebook (and a disappointing Spongebob popsicle). #spotifydesignforML #mluxnyc
Something went wrong.
Something went wrong.
United States Trends
- 1. Steelers 52.2K posts
- 2. Rodgers 21.1K posts
- 3. Chargers 37K posts
- 4. Tomlin 8,217 posts
- 5. Schumer 222K posts
- 6. Resign 105K posts
- 7. #BoltUp 2,988 posts
- 8. #TalusLabs N/A
- 9. Tim Kaine 19K posts
- 10. Keenan Allen 4,884 posts
- 11. #HereWeGo 5,662 posts
- 12. #RHOP 6,909 posts
- 13. Durbin 26.6K posts
- 14. #ITWelcomeToDerry 4,607 posts
- 15. 8 Democrats 9,019 posts
- 16. Gavin Brindley N/A
- 17. Angus King 16K posts
- 18. 8 Dems 7,014 posts
- 19. Herbert 11.7K posts
- 20. Shaheen 34.1K posts