Uwe Sterr: Analysis of 2019 Kaggle ML & DS Survey
1
Introduction
1.1
Purpose
1.2
Results
1.3
Navigation and handling
2
Survey participants education level
3
Who uses which algorithm
4
Machine learning experience and algorithms
5
Experience and new algorithms
6
Role of participants
7
Company size
8
Company incorporation of machine learning
9
Favorite media sources on data science topics
10
Favorite online course platform
11
Favorite data analyzing tool
12
Experience in data analysis coding
13
Favorite integrated development environments (IDE’s)
14
Favorite hosted notebook products
15
Favorite programming languages
16
Recommended entry programming language
17
Favorite data visualization libraries or tools
18
Favorite specialized hardware
19
Favorite machine learning frameworks
20
Favorite cloud computing platforms
21
Favorite big data / analytics products
22
Favorite automated machine learning tools (or partial AutoML tools)
23
Literature
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Analysis of 2019 Kaggle ML & DS Survey
Chapter 7
Company size
The company size of the participants is shown in the graph below
Largest group of participants are from small companies
Second largest group of participants are from small companies
