This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Big Data, Predictive Analytics and Deep Learning with Apache Spark
Chris Teplovs, Ph.D.
Day 3
Workshop overview
| Day 1: Focus on data | Introductions to each other, the workshop, Big Data, Spark and Databricks |
| Day 2: Focus on techniques |
Clustering, classification and analytic pipelines |
| Day 3: Focus on the future | Deep Learning, Neural networks, and project presentations |
Day 1
| Segment | Topic |
|---|---|
| 1.1 | Workshop overview and Introductions |
| 1.2 | Introduction to Databricks |
| 1.3 | Hands-On: Databricks |
| 1.4 | Intro to Spark & DataFrames |
| 1.5 | Hands-On: DataFrames |
| 1.6 | Big Data Sets |
| 1.7 | Hands-On: Exploring Data |
Day 2 (yesterday)
| Segment | Topic |
|---|---|
| 2.1 | Clustering Overview |
| 2.2 | k-Means and Bisecting k-Means |
| 2.3 | Hands-On: Clustering |
| 2.4 | Classification Overview |
| 2.5 | Hands-On: Classification |
| 2.6 | Model Evaluation and Tuning |
| 2.7 | Hands-On: Evaluation and Tuning |
Day 3 (today)
| Segment | Topic |
|---|---|
| 3.1 | Intro to Dimensionality Reduction |
| 3.1 | Hands-on: PCA |
| 3.3 | Intro to Neural Nets |
| 3.4 | Hands-On: Neural Net Pipelines |
| 3.5 | Hands-On time for projects |
| 3.6 | Project Presentations |
Neural Networks
