CSC310
Programming for Data Science
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Documents of Interest
Syllabus
Book
Intro to Colab Notebooks
Markdown Cheatsheet
Introduction
What is Data Science
Data Science at Electronic Arts (EA)
Ethical Concerns
Ethics & AI
The Shape of Data
Data and Medicine
Accessing Data
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
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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