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MLOps meetup #7- Machine Learning and Open Banking with Alex Spanos of TrueLayer

Apr 24, 2020
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1
Introduction
00:00 • 4min
2
How Did You Get a Job in Data Science?
03:36 • 3min
3
Machine Learning - What Is It?
06:25 • 2min
4
The Data and Payment Spaces of an Application.
08:11 • 2min
5
The Machine Learning Space Is Quite Prominent at Cule
10:19 • 2min
6
Machine Learning
12:04 • 3min
7
Machine Learning - The Golden Kind of Solution
14:53 • 2min
8
Pivotal to Infe Structure
16:34 • 4min
9
The Replicability of Decisions in the Space We Operate
20:45 • 3min
10
Can You Get Explanatory Details or Infer Anything About Transactions?
23:32 • 2min
11
Grifana and Prometheus for Machine Learning Services?
26:02 • 2min
12
Is My Model Making the Right Call on Aggregate?
27:50 • 2min
13
The Rules Based Service
29:25 • 2min
14
Hiring a Machine Learning Engineer?
31:01 • 3min
15
How Much of This Machine Learning Pipeline Were Able to Automate?
33:41 • 5min
16
The Third Wave of Data Scientists
38:46 • 3min
17
Machine Learning Engineers Are Specialists in Failure
42:11 • 3min
18
Machine Learning Engineer vs Data Scientist - Is There a Difference?
44:43 • 2min
19
Data Scientist
46:49 • 3min
20
The Engineering Community Is Trying to Solve Machine Learning Problems
49:58 • 3min
21
What Qualities Are Important for Machine Learning Engineers?
53:12 • 3min