
MLOps.community MLOps.community #4 - Building an ML platform @SurveyMonkey with Shubhi Jain
Apr 10, 2020
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
Introduction
00:00 • 3min
How Did You Become Into Technology?
03:18 • 3min
Machine Learning Micro Services - What Are the Requirements for Micro Services?
06:17 • 2min
Build or Buy?
08:02 • 3min
How Big Was the Team That Begun This Journey?
11:17 • 2min
How Much Time Is Dedicated to Upkeep?
12:49 • 3min
What's Unique About Servey Monkey?
15:32 • 4min
Data Scientists Want Point and Time Window Views
19:14 • 5min
Are You Building the Verses by Choice?
23:46 • 3min
Machine Learning Models - Versioning by Day
26:58 • 2min
Is the Feature Store Also Storing Up Dated Results of Other Models?
29:19 • 2min
Machine Learning Services Gateway
31:10 • 2min
A Machine Learning Model Feature That Requires a High Level Gateway to Receive a Request
33:10 • 4min
The Asink Architecture, Is It a Totally Different Solution?
37:10 • 3min
Do You Run a Human Test to Monitor Machine Learning?
40:09 • 3min
Machine Learning - What's Going on With New Relic?
43:07 • 3min
Auto Retrain
46:19 • 2min
The Role of Ansible in Your Infer Structure?
48:48 • 2min
How Do You Handle Personal Identifiable Information?
50:25 • 2min
M L Engineer or Data Scientist?
52:16 • 3min
How Did You Facing Those Obstacles?
55:02 • 3min
