MLOps.community

MLOps.community #4 - Building an ML platform @SurveyMonkey with Shubhi Jain

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