Perfectly Awesome

What is it?
Limitations
Uses

Collaborative Filtering
Collecting Preferences
Finding Similar Users
Recommending Items
Matching Products
Building a del.icio.us Link Recommender
Item-Based Filtering
Using the MovieLens Dataset
User-Based or Item-Based Filtering?

Supervised versus Unsupervised Learning
Word Vectors
Hierarchical Clustering
Drawing the Dendrogram
Column Clustering
K-Means Clustering
Clusters of Preferences
Viewing Data in Two Dimensions
Other Things to Cluster

What’s in a Search Engine?
A Simple Crawler
Building the Index
Querying
Content-Based Ranking
Using Inbound Links
Learning from Clicks

Group Travel
Representing Solutions
The Cost Function
Random Searching
Hill Climbing
Simulated Annealing
Genetic Algorithms
Real Flight Searches
Optimizing for Preferences
Network Visualization
Other Possibilities

Filtering Spam
Documents and Words
Training the Classifier
Calculating Probabilities
A Naïve Classifier
The Fisher Method
Persisting the Trained Classifiers
Filtering Blog Feeds
Improving Feature Detection
Using Akismet
Alternative Methods

Predicting Signups
Introducing Decision Trees
Training
Choosing the Best Split (Gini Impurity, Entropy)
Recursive Tree Building
Displaying the Tree
Classifying New Observations
Pruning the Tree
Missing Data
Numerical Outcomes
Modeling Home Prices (Zillow API)
Modeling “Hotness” (Hot or Not)
When to Use Decision Trees

Building a Sample Dataset
k-Nearest Neighbors
Weighted Neighbors
Cross-Validation
Heterogeneous Variables
Optimizing the Scale
Uneven Distributions
Using Real Data—the eBay API
When to Use k-Nearest Neighbors

Matchmaker Dataset
Difficulties with the Data
Basic Linear Classification
Categorical Features
Scaling the Data
Understanding Kernel Methods
Support-Vector Machines
Using LIBSVM
Matching on Facebook

A Corpus of News
Previous Approaches
Non-Negative Matrix Factorization
Displaying the Results
Using Stock Market Data

What Is Genetic Programming?
Programs As Trees
Creating the Initial Population
Testing a Solution
Mutating Programs
Crossover
Building the Environment
A Simple Game
Further Possibilities

Bayesian Classifier
Decision Tree Classifier
Neural Networks
Support-Vector Machines
k-Nearest Neighbors
Clustering
Multidimensional Scaling
Non-Negative Matrix Factorization
Optimization

Universal Feed Parser
Python Imaging Library (PIL)
Beautiful Soup
pysqlite
NumPy
matplotlib
pydelicious

Euclidean Distance
Pearson Correlation Coefficient
Weighted Mean
Tanimoto Coefficient
Conditional Probability
Gini Impurity
Entropy
Variance
Gaussian Function
Dot-Products