Isolation Forests | Overview | Why choose isolation forests over the alternatives | An example in 1D | An example in 2D | Variations of isolation forests | An example with real data | Other uses for isolation trees | References

Sparse Matrix Formats | 1. COO (coordinate) or triplets, a.k.a. "TsparseMatrix": | 2. CSR (compressed sparse row), a.k.a. "RsparseMatrix" | 3. CSC (compressed sparse column), a.k.a. "CsparseMatrix" | 4. Sparse vectors | Sparse objects in Matrix | Doesn't Matrix provide everything? | Why is CSR needed? | MatrixExtra to the rescue | Important!! | What else does it do? | Modifying sub-optimal behaviors from Matrix | A real-world example

Matrix Factorization | Loading the data | Creating a train-test split | Classical model | How good is it? | Improving the classical model | Adding side information | Generating Top-N recommendations | Recommendations for existing users | Recommendations for new users | Cold-start recommendations

Loading the raw data | Pre-processing the data | Fitting a model | Examining the results more closely | Trying different hyperparameters

Implicit-feedback data | Matrix factorization models | Evaluating recommendation models | Loading the data | Creating a train-test split | Establishing baselines | Fitting models | Other models | Calculating metrics | Comparing models

A look at the dataset | Finding outliers | A closer look at some of those outliers | Handling results