AI — Models & Research

t-Statistic Neighbor Embedding

T-SNE: Example in Scikit-Learn

Principal Component Analysis: Example in Scikit-Learn

Principal Component Analysis with Kinematics: Example in Scikit-Learn

Principal Component Analysis

Multidimensional Scaling

Locally Linear Embeddings: Example 2

Locally Linear Embedding: Example 1

Locally Linear Embedding

Kernel Principal Component Analysis and Kinematics: Example in Scikit-Learn

Introduction to Dimensionality Reduction

Embedding-Based Methods for Dimensionality Reduction

Regression Trees

Random Forests

Probability Tree Learning

Introduction to Decision Trees

Gradient Boosting

Feature Importance

Example: Regression Trees

Example: Probability Tree Learning

Example: Implementing a Voting Classifier

Example: Implementing a Bagging Classifier

Example: Gradient Boosting

Decision Trees: Random Subspaces

Decision Tree Learning

Boosting

Qiskit Falll Fest CIC-IPN Mexico 2022- Clasificación Mediante Técnicas de QML

Qiskit Fall Fest CIC-IPN Mexico 2022 - Classification Using QML Techniques

Fall 2022 6.4210/2 Lecture 11: Deep perception for manipulation (part 1)

Soft Boundary Classification

Non Linear Preprocessing for Support Vector Machines

Logistic Regression Revisited

Log Likelihood For Classifiers

Introduction to Support Vector Machines

Example: Support Vector Regression

Example Support Vector Machines for Classification

Building Robust Machine-Learned Models via Cross-Validation

The Overfitting Problem

Regularization

Hyper Parameter Selection

Holistic Approach to Cross Validation