Go Time: Golang, Software Engineering

MLOps in Go

Feb 3, 2022
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Episode notes
1
Introduction
00:00 • 4min
2
Techton - What's the Difference Between a Product and an Open Source Product?
04:03 • 2min
3
What Is a Feature Store?
05:40 • 2min
4
How to Build a Machine Learning Model?
07:33 • 2min
5
Is the Objective of a Machine Learning Model Reusable?
09:09 • 2min
6
Is There a Recommendation Engine?
10:47 • 3min
7
Getting the Most Recent Version of a Feature Value
13:59 • 2min
8
Is There a Seam Between Users and Operators of Machine Learning Systems?
16:29 • 4min
9
Firehudrant - The Reliability Platform for Every Developer
20:12 • 3min
10
MLOps - What's the Difference?
22:49 • 4min
11
DevOps
26:28 • 3min
12
Is Go the First Choice for a Feature Server?
29:44 • 2min
13
Is There Really a Need to Do It With Python?
32:10 • 2min
14
Is Go a Good Choice for Machine Learning?
33:41 • 2min
15
Change Log Weekly
35:17 • 2min
16
What Got You Into Go?
37:05 • 2min
17
Feast Is a Good Place to Start, Right?
39:18 • 2min
18
Johnny, Do You Have an Unpopular Opinion?
40:59 • 2min
19
MLOps in Go - Unpopular Opinion
42:40 • 3min