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1. Introduction

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Proposal
Design
Methodology
Writing
Exploratory Data Analysis
Exploratory Data Analysis
- Index
- 1. Introduction 1. Introduction
  Table of contents
- 2a. Shape of DS problems
- 2b. Machine Learning
- 3. The Routine
- 4. The Setup
- 4a. Boilerplate
- 4b. MNIST
- 4c. Randomness
- 4d. Dataset
- 4e. Model
- 4f. Metrics
- 4g. Training
- 4h. Device
- 4i. Hyperparams
- 5. The Breakdown
- 6. The Payoff
- 7. The Meta
- 8. EDA for the Meta
- 8f. Frustrations with The System

Table of contents

Evidence is tables
Examples of data visualization
References

Introduction

Building towards: MNIST dataset

Goals:

TODO

Evidence is tables

Examples of data visualization

References

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