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MLOps + Machine Learning // James Sutton // MLOps Coffee Sessions #15
Manage episode 313294506 series 3241972
תוכן מסופק על ידי Demetrios. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Demetrios או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
James Sutton is an ML Engineer focused on helping enterprise bridge the gap between what they have now, and where they need to be to enable production scale ML deployments.
----------- Connect With Us ✌️-------------
Join our Slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/
Connect with James on LinkedIn: https://www.linkedin.com/in/jamessutton2/
Timestamps:
0:00 - Intro to Speaker
2:20 - Scope of the coffee session
3:10 - Background of James Sutton
8:28 - One-shots Classifier Algorithm
12:46 - Why is it a challenge from the engineering perspective with deployment?
19:20 - How to overcome bottlenecks?
30:07 - Vision of your landscape?
34:45 - Maturity playout
38:48 - Maturity perspective of ML
41:49 - Risk of overgeneralizing system designs patterns
46:10 - Reliability, Speed, Cost
46:46 - Consistency, Availability, Partition Tolerance (CAP Theorem)
47:36 - How do you go about discussing these tradeoffs with your clients?
51: 23 - How would you deal with the PII?
58:50 - Collaborative process with clients
1:00:55 - Wrap up
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