Search for tag: "algebra (mathematics)"

DSPA Chapter 21 Function Optimization

Chapter 21 covers (1) constrained and unconstrained optimization, (2) Lagrange multipliers, (3) linear, quadratic and (general) non-linear programming, and (4) data denoising.

From  Tina Chang on August 30th, 2017 0 likes 20 plays 0  

DSPA Chapter 4 Linear Algebra and Matrix Computing

DSPA Chapter 4 Linear Algebra and Matrix Computing Linear algebra is a branch of mathematics that studies linear associations using vectors, vector-spaces, linear equations, linear transformations…

From  Tina Chang on July 17th, 2017 0 likes 58 plays 0  

DSPA Chapter 5 Dimensionality Reduction

DSPA Chapter 5 Dimensionality Reduction Dimensionality reduction techniques enable exploratory data analyses by reducing the complexity of the dataset, still approximately preserving important…

From  Tina Chang on July 17th, 2017 0 likes 64 plays 0  

DSPA Chapter 10: SVM Classification

DSPA Chapter 10 SVM Classification In this chapter, we are going to cover two very powerful machine-learning algorithms. These techniques have complex mathematical formulations, however, efficient…

From  Tina Chang on July 17th, 2017 0 likes 36 plays 0  

DSPA Chapter 3 Data Visualization

DSPA Chapter 3 Data Visualization In this chapter, we use a broad range of simulations and hands-on activities to highlight some of the basic data visualization techniques using R. A brief…

From  Tina Chang on July 17th, 2017 0 likes 107 plays 0  

DSPA Chapter 9: Regression Classification

DSPA Chapter 9: Regression Classification In previous chapters (6, 7, and 8), we covered some classification methods that use mathematical formalism to address everyday life prediction problems.…

From  Tina Chang on July 17th, 2017 0 likes 44 plays 0