Tutorial on Deep Learning in Recommender System, Lars summer school 2019Anoop Deoras
I had a fun time giving tutorial on the topic of deep learning in recommender systems at Latin America School on Recommender Systems (LARS) in Fortaleza, Brazil.
Linear Regression
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Non-Linear Regression
Support Vector Regression (SVR)
Decision Tree Regression
Random Forest Regression
Deep Learning - Overview of my work IIMohamed Loey
Deep Learning Machine Learning MNIST CIFAR 10 Residual Network AlexNet VGGNet GoogleNet Nvidia Deep learning (DL) is a hierarchical structure network which through simulates the human brain’s structure to extract the internal and external input data’s features
Tutorial on Deep Learning in Recommender System, Lars summer school 2019Anoop Deoras
I had a fun time giving tutorial on the topic of deep learning in recommender systems at Latin America School on Recommender Systems (LARS) in Fortaleza, Brazil.
Linear Regression
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Non-Linear Regression
Support Vector Regression (SVR)
Decision Tree Regression
Random Forest Regression
Deep Learning - Overview of my work IIMohamed Loey
Deep Learning Machine Learning MNIST CIFAR 10 Residual Network AlexNet VGGNet GoogleNet Nvidia Deep learning (DL) is a hierarchical structure network which through simulates the human brain’s structure to extract the internal and external input data’s features
Recomendado por el proceso ESE para las sesiones de Barbara de Martiis - Curso de extensión sobre Educación sin Escuela, Universidad Nacional de Colombia.
Recomendado por el proceso ESE para las sesiones de Barbara de Martiis - Curso de extensión sobre Educación sin Escuela, Universidad Nacional de Colombia.
1. Õppedisaini alused IFI 7051 1. Loeng: sissejuhatus kursusesse ja õppedisaini valdkonda Mart Laanpere TLÜ Informaatika instituudi teadur Haridustehnoloogia keskuse juhataja
25. Merrienboer’i 4C/ID mudel Õpiülesanded Osaülesanded rutiinsete oskuste automatiseerimiseks Toetav informatsioon Vajadusel pakutav lisainfo ja tagasiside Just-In-Time info Artikkel: Merrienboer jt (2002) Blueprints for Complex Learning
27. Leshin, Pollock, Reigeluth (1992) 1.Vajaduste analüüs 2.Õppesisu määratlemine 3.Strateegia ja taktika 4.Evalvat-sioon Analüüsi probleemi Analüüsi aine-valdkonda Analüüsi ja järjesta tegevused Määratle tegevusi toetavad teadmised Kavanda õpetamise ja korralduse strateegia Koosta õppe-materjalid Hinda õpetamise tulemus-likkust
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