Machine learning

Contextuality and inductive bias in quantum machine learning

Improved machine learning algorithm for predicting ground state properties

Voici l'outil pour utiliser GPT-4 sans limite (tuto complet)

Here is the tool to use GPT-4 without limits (full tutorial)

Quantum machine learning of large datasets using randomized measurements

6.8210 Spring 2023 Lecture 22: Policy Search

Deterministic and random features for large scale quantum kernel machine

HuggingChat : le ChatGPT FRANÇAIS 🇫🇷 (du haut niveau !)

HuggingChat: the FRENCH ChatGPT 🇫🇷 (high level!)

Structural risk minimization for quantum linear classifiers

Add A Voice Chatbot to Your Phone (Telegram)

CHATGPT & SEO : CES PROMPTS SONT GÉNIAUX (et je pèse mes mots)

CHATGPT & SEO: THESE PROMPTS ARE BRILLIANT (and I mean it)

CHATGPT : Rédiger le PROMPT PARFAIT (Tuto Prompt Engineering)

CHATGPT: Writing the PERFECT PROMPT (Prompt Engineering Tutorial)

#045 ML Геннадий Штех. Как навести порядок в документообороте и нарисовать самую страшную картинку

#045 ML Gennady Shtekh. How to Put Order in Document Flow and Draw the Scariest Picture

Spring 2023 6.8210 Lecture 6: Dynamic Programming III

Evan Peters - Generalization despite overfitting in quantum machine learning models

6.8210 Spring 2023 Lecture 3 Part 2

Constrained Reinforcement Learning for Robotics via Scenario-Based Programming

Soft Boundary K-Means Clustering

Semi-Supervised Regression

Mixture Distributions

Machine Learning Practice: Conclusions

Learning Gaussian Mixture Distributions

Label Spreading

Label Propagation

K-Means Clustering: Example in Scikit-Learn

K-Means Clustering

Expectation Maximization Learning Example

Fall 2022 6.4210/2 Lecture 19: Intuitive physics (part 1)

Inject Yourself into the AI and Make Any Image With Your Face! (100% FREE Method)

Fall 2022 6.4210/2 Lecture 18: Reinforcement learning (part 1)

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