All current Unsupervised Learning Courses courses in 2024
78 Courses
Stanford Seminar - Can the Brain Do Back-Propagation?
Stanford Seminar - Can the Brain Do Back-Propagation?
This course explores the concept of whether the brain can perform back-propagation. The learning outcomes include understanding online stochastic gradient descent, reasons why the brain may not be able to do backprop, and new methods for unsupervised learning.
Students will learn about the.

Apprivoiser l’apprentissage automatique
Apprivoiser l'apprentissage automatique
L’objectif principal du MOOC Apprivoiser l'Apprentissage Automatique est de vous présenter les concepts importants de manière simplifiée, puis de les pratiquer à l’aide de 7 tutoriels en Python sur l’application en ligne Colab accessible gratuitement. Le niveau théorique est ajusté pour mettre l’emphase sur.

Data Mining for Smart Cities
Data Mining for Smart Cities | Arizona State University | Coursera
Internet of things (IoT) has become a significant component of urban life, giving rise to “smart cities.” These smart cities aim to transform present-day urban conglomerates into citizen-friendly and environmentally sustainable living spaces. The digital infrastructure of smart c.

Introducción a Machine Learning
Introducción a Machine Learning
En este curso abordaremos el aprendizaje automático de máquinas desde una perspectiva algebraica. Se abordarán cuatro temas principales:
Primero, introduciremos los modelos de regresión y clasificación lineal, comenzando por la regresión lineal multivariada, sus aplicaciones y cómo evitar el sobre-ajus.

Künstliche Intelligenz und maschinelles Lernen für Einsteiger
Künstliche Intelligenz und maschinelles Lernen für Einsteiger
Obwohl viel diskutiert, sind neuste Technologien wie künstliche Intelligenz und maschinelles Lernen den meisten noch ein Buch mit sieben Siegeln. Das will unser openHPI-Kurs für Einsteiger ändern. Schülerinnen und Schüler, aber auch interessierte Erwachsene sollen die zugrundeliegenden.
Tensorflow and Keras For Neural Networks and Deep Learning
Master the Most Important Deep Learning Frameworks (Tensorflow & Keras) for Python Data Science

Master Course : Fundamentals of Machine Learning (101 level)
Title: Master Course: Fundamentals of Machine Learning (101 Level)
Description: Dive into the world of AI with our comprehensive course offered on Udemy. This master-level training covers all core concepts including Machine Learning, Supervised and Unsupervised Machine Learning, Deep Learning, and specialized frameworks such as TensorFlow and Keras.

2024 Python for Machine Learning: A Step-by-Step Guide
Title: 2024 Python for Machine Learning: A Step-by-Step Guide
Description: Dive into Data Science Projects using Python and explore key techniques such as Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, and PCA. Master both supervised and unsupervised learning methods in this comprehensive course.
Provider: Udemy
U.

AI & ML Starter Course with No-Code AI Projects [2024]
AI & ML Starter Course with No-Code AI Projects [2024]
Embark on a journey to master Artificial Intelligence (AI) and Machine Learning (ML) without the need for coding. This comprehensive course, offered by Udemy, is perfect for beginners eager to dive into the realms of AI and ML through practical, hands-on projects. Unlock the potential of no-cod.

Introducción a la Inteligencia Artificial: Principales Algoritmos
Descubre los fundamentos de la Inteligencia Artificial (IA) con el curso "Introducción a la Inteligencia Artificial: Principales Algoritmos", ofrecido por Galileo University en colaboración con edX. A lo largo de este curso, te sumergirás en los aspectos filosóficos y algorítmicos que rigen las técnicas de IA más empleadas hoy en día.
El programa s.