Adventures in Machine Learning

Apache Spark (Pt. 2): MLlib - ML 074

Jun 2, 2022
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Episode notes
1
Introduction
00:00 • 2min
2
Choosing Spark ML vs Single Node Operation
02:05 • 3min
3
Spark ML
05:21 • 4min
4
Is Pyspark Going Down the Path of Better Reporting for Models?
09:32 • 4min
5
SK Learn - One Stop Shop Versus Spark?
13:37 • 4min
6
Spark ML - What Is the Minimum Package Set Required to Do EDA?
17:10 • 1min
7
Spark ML - Spark Model Generation and Validation
18:39 • 5min
8
Spark ML
23:37 • 3min
9
Is Downsampling a Good Thing?
27:07 • 2min
10
Machine Learning Models Are Throwing Out Outliers
29:11 • 3min
11
How Do You Train and Optimize on Down Sample Data?
32:21 • 4min
12
Spark MLib vs SKLAR MLib
36:10 • 4min
13
Spark ML - What Is the Difference Between an Estimator and a Transformer?
40:18 • 3min
14
MLLib - A Great Way to Learn MLlib
43:43 • 3min
15
Getting Dirty Is Better Than Getting Started
46:46 • 4min
16
Spark ML Lib - Part 2
50:39 • 2min