Matrix
Artificial Intelligence
Non-Negative Matrix Factorization (NMF) for Dimensionality Reduction in Image Data
Discussing theory and implementation with Python and Scikit-learnYou may’t break the non-negativity constraint when running non-negative matrix factorization (NMF). The feature matrix should all the time contain non-negative elements.
Artificial Intelligence
The Matrix Algebra of Linear Regression
Looking under the hood on the matrix operations behind linear regression11 min read·12 hours agoFitted ValuesWe've got now used some linear algebra to seek out the best-fitting parameters for a straightforward linear regression model....
Artificial Intelligence
Recommender System: Collaborative Filtering with Matrix Factorization
Explanation of Recommendations through Matrix Factorization Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4: 19:1–19:19. https://doi.org/10.1145/2827872
Artificial Intelligence
How A Good Data Scientist Looks At Matrix Multiplication Introduction: 1. Dot Products of Rows and Columns: 2. Linear Combination of Columns: 3. Linear Combination of Rows: 4. Sum...
4 other ways to have a look at itMatrix AB is a sum of p rank-1 matrices of size mxn, where the i_th matrix (amongst p) is the results of multiplying column-i of A...
Artificial Intelligence
Sensitivity in Predictive Modeling: A Guide to Buying Paying Customers with Less Traffic Introduction Understanding Confusion Matrix for Predictive Modeling in Business Talk Python To Me Here is...
Discover a cheap ad campaign strategy by defining and evaluating model sensitivity, with step-by-step guidance and Python implementationOn this post, we’ve seen tips on how to evaluate the performance of a machine-learning model using...
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