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Matrix Factorization for feature engineering

Instructor: Applied AI Course Duration: 9 mins

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Matrix Factorization for Collaborative filtering

Clustering as MF

DBSCAN (Density based clustering) Technique

1.1

MinPts and Eps: Density

6 min

1.2

Core, Border and Noise points

7 min

1.3

Density edge and Density connected points

6 min

1.4

DBSCAN Algorithm

1.5

Determining the optimal Hyper Parameters: MinPts and Eps

10 min

1.6

Advantages and Limitations of DBSCAN

9 min

Recommender Systems and Matrix Factorization

2.1

Problem formulation: IMDB Movie reviews

23 min

2.2

Content based vs Collaborative Filtering

11 min

2.3

Similarity based Algorithms

16 min

2.4

Matrix Factorization: PCA, SVD

23 min

2.5

Matrix Factorization: NMF

3 min

2.6

Matrix Factorization for Collaborative filtering

23 min

2.7

Matrix Factorization for feature engineering

9 min

2.8

Clustering as MF

21 min