This course on machine learning in Spanish covers topics such as supervised and unsupervised learning, including linear regression, logistic regression, decision trees, neural networks, naive Bayes algorithm, K-means clustering, hierarchical clustering, and principal component analysis. The course aims to teach real-world applications like image recognition, language analysis, recommendation systems, and spam classification. The teaching method includes video lectures available on YouTube. The intended audience for this course is Spanish speakers interested in learning about machine learning concepts and applications.
Overview
Syllabus
Mini-curso de aprendizaje automatico - Nuevo link: https://www.youtube.com/watch?v=5nmwHyAudlQ.
Aprendizaje automatico - Clasificacion y regresion - Nuevo link: www.youtube.com/watch?v=hkOZ2potocA.
Redes neuronales y aprendizaje profundo - Nuevo link: https://www.youtube.com/watch?v=5Mr96Qln1kU.
Clasificador de Bayes ingenuo - Nuevo link: https://www.youtube.com/watch?v=De2gX2rWGbs.
Agrupamento: K-medios y jerarquico - Nuevo link: https://www.youtube.com/watch?v=WlXEf01WppM.
Analisis de componentes principales (PCA) - Nuevo link: https://www.youtube.com/watch?v=7My_PBhxeP4.
Redes Adversarias Generativas: Nuevo link: https://www.youtube.com/watch?v=HACn6OU_y5I.
Taught by
Serrano.Academy
