On Github chdoig / miri-od-dm-seminar
by Christine Doig and Maryam Pashmi
Introduction
Introduction Applications and algorithms Big Data story and evolution Map reduce framework Data Mining Tools Summary Resources and Recommendations
1. Introduction
1. Introduction
The focus of this course is on enriching the available own data (i.e., data owned by the organization) with external repositories (special attention will be paid on Open Data), in order to gain insights into the organization business domain
1. Introduction
Discovering patterns
1. Introduction
1. Introduction
Introduction Applications and algorithms Big Data story and evolution Map reduce framework Data Mining Tools Summary Resources and Recommendations
2. DM: Applications and algorithms
Spotify, Amazon, Netflix
2. DM: Applications and algorithms
Spotify, Amazon, Netflix
2. DM: Applications and algorithms
Target
2. DM: Applications and algorithms
2. DM: Applications and
Context and Introduction Applications and algorithms Big Data story and evolution Map reduce framework Data Mining Tools Summary Resources and Recommendations
3. Big data story and evolution
Context and Introduction Applications and algorithms Big Data story and evolution Map reduce framework Data Mining Tools Summary Resources and Recommendations
4. Map reduce framework
4. Map reduce framework
Context and Introduction Applications and algorithms Big Data story and evolution Map reduce framework Data Mining Tools Summary Resources and Recommendations
5. DM Tools
5. DM Tools
Context and Introduction Applications and algorithms Big Data story and evolution Map reduce framework Data Mining Tools Summary Resources and Recommendations
6. Summary
Context and Introduction Applications and algorithms Big Data story and evolution Map reduce framework Data Mining Tools Summary Resources and Recommendations
7. Resources and Recommendations