AI — Models & Research

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

#041 ML Сакина Зейналова. Химия, яды, ML и конус географический

#041 ML Sakina Zeynalova. Chemistry, poisons, ML and the geographical cone

#040 ML Александр Дончук. Про стартапы, бизнес и ML в промышленности

#040 ML Alexander Donchuk. About startups, business and ML in industry

The Overfitting Problem

Regularization

Hyper Parameter Selection

Holistic Approach to Cross Validation

Example: Using Regularization in the Brain-Machine Interface Problem

Example: Regularization