CSC310
Programming for Data Science
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Documents of Interest
Syllabus
Book
Markdown Cheatsheet
Introduction
What is Data Science
Data Science at Electronic Arts (EA)
Ethical Concerns
Ethics & AI
The Shape of Data
Data and Medicine
The Basics
The Processing Pipeline
Machine Learning - How it works
Machine Learning Basics: Decision Trees
Machine Learning Basics: Decision Trees (Cont’d), Accuracy
Data Manipulation with Pandas
Visualization
Models of Data
Classification and Regression
Training Data & Bias
Evaluating Models: Learning Curves, Train-Test, Cross-Validation, Confusion Matrix
Evaluating Models: Confidence Intervals
Another Take on Classification: Instance Based Learning
Neural Networks
Neural Networks
Neural Networks (Cont’d)
More on Regression
Unsupervised Learning: Clustering
Environments and Applications
Databases
Example: Doing Data Science on Databases
Natural Language Processing
Natural Language Processing (Cont’d)
Natural Language Processing: Deep Learning
How Chatbots and Large Language Models Work
Image Compression
Digital Compression
Handwriting Recognition
Advanced Topics
Uncertainty Revisited: The Bootstrap
Ensemble Techniques
Large Margin Classifiers
Time Series Analysis
Time Series Forecasting
The Last Word
Report Writing
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Videos
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