SLIDE 1
Outline
- Data
Buckets
- Processing
Running an ML Algorithm Creating a Notebook Editing the Notebook
Python
- Output
LEARNING Outline Data Buckets Processing Running an ML Algorithm - - PowerPoint PPT Presentation
LEARNING Outline Data Buckets Processing Running an ML Algorithm - - PowerPoint PPT Presentation
Python and AWS CSCI 447/547 MACHINE LEARNING Outline Data Buckets Processing Running an ML Algorithm Creating a Notebook Editing the Notebook Python Output Evaluating Results Getting Started in AWS Services
SLIDE 2
SLIDE 3
Getting Started in AWS
SLIDE 4
Services
SLIDE 5
Machine Learning – Easy Path
SLIDE 6
Machine Learning – Easy Path
SLIDE 7
Machine Learning – Easy Path
SLIDE 8
Machine Learning – Easy Path
SLIDE 9
Machine Learning – Easy Path
SLIDE 10
Machine Learning – Easy Path
SLIDE 11
Machine Learning – Easy Path
SLIDE 12
Machine Learning – Easy Path
SLIDE 13
Machine Learning – Easy Path
SLIDE 14
Machine Learning – Easy Path
SLIDE 15
Machine Learning – Easy Path
SLIDE 16
Machine Learning – Easy Path
SLIDE 17
Machine Learning – Easy Path
SLIDE 18
Machine Learning – Easy Path
SLIDE 19
Jupyter Notebook Tutorial
- Notebook Tutorial
- Anaconda Download
SLIDE 20
Creating a Notebook in AWS
- Go to SageMaker Console
Create notebook You will need an IAM role
- Go to IAM Console
Mine shows all kinds of errors – ignore these Click role on left Accept defaults (for now) Fine the “arn…” at top – select and copy this
This goes into the role in the notebook page
SLIDE 21
Python
- Python Language Reference
- Python Standard Library
- Python Tutorial
SLIDE 22
Summary
- Data
Buckets
- Processing
Creating a Notebook Editing the Notebook
Python
Running an ML Algorithm
- Output