

MLOps meetup #7- Machine Learning and Open Banking with Alex Spanos of TrueLayer
Apr 24, 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 • 4min
How Did You Get a Job in Data Science?
03:36 • 3min
Machine Learning - What Is It?
06:25 • 2min
The Data and Payment Spaces of an Application.
08:11 • 2min
The Machine Learning Space Is Quite Prominent at Cule
10:19 • 2min
Machine Learning
12:04 • 3min
Machine Learning - The Golden Kind of Solution
14:53 • 2min
Pivotal to Infe Structure
16:34 • 4min
The Replicability of Decisions in the Space We Operate
20:45 • 3min
Can You Get Explanatory Details or Infer Anything About Transactions?
23:32 • 2min
Grifana and Prometheus for Machine Learning Services?
26:02 • 2min
Is My Model Making the Right Call on Aggregate?
27:50 • 2min
The Rules Based Service
29:25 • 2min
Hiring a Machine Learning Engineer?
31:01 • 3min
How Much of This Machine Learning Pipeline Were Able to Automate?
33:41 • 5min
The Third Wave of Data Scientists
38:46 • 3min
Machine Learning Engineers Are Specialists in Failure
42:11 • 3min
Machine Learning Engineer vs Data Scientist - Is There a Difference?
44:43 • 2min
Data Scientist
46:49 • 3min
The Engineering Community Is Trying to Solve Machine Learning Problems
49:58 • 3min
What Qualities Are Important for Machine Learning Engineers?
53:12 • 3min