* Cantinho Satkeys

Refresh History
  • JPratas: try65hytr Pessoal  4tj97u<z 2dgh8i k7y8j0 yu7gh8
    Hoje às 05:50
  • j.s.: try65hytr a todos  49E09B4F
    24 de Março de 2026, 18:55
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  49E09B4F
    22 de Março de 2026, 11:36
  • j.s.: tenham um ex celente fim de semana  4tj97u<z 4tj97u<z
    20 de Março de 2026, 18:34
  • j.s.: dgtgtr a todos  49E09B4F
    20 de Março de 2026, 18:34
  • FELISCUNHA: ghyt74  pessoal   4tj97u<z
    19 de Março de 2026, 11:14
  • j.s.: try65hytr a todos  49E09B4F
    16 de Março de 2026, 19:20
  • FELISCUNHA: ghyt74  e bom fim de semana  4tj97u<z
    14 de Março de 2026, 11:15
  • JPratas: try65hytr Pessoal  4tj97u<z 2dgh8i k7y8j0 yu7gh8
    13 de Março de 2026, 05:26
  • FELISCUNHA: ghyt74  pessoal   4tj97u<z
    10 de Março de 2026, 11:00
  • j.s.: dgtgtr a todos  49E09B4F 49E09B4F
    09 de Março de 2026, 17:12
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    07 de Março de 2026, 11:37
  • JPratas: try65hytr Pessoal  4tj97u<z 2dgh8i k7y8j0 yu7gh8
    06 de Março de 2026, 05:31
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    04 de Março de 2026, 10:47
  • Kool.king1: french
    02 de Março de 2026, 22:47
  • j.s.: dgtgtr a todos  49E09B4F
    01 de Março de 2026, 16:54
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  101041
    01 de Março de 2026, 10:42
  • cereal killa: try65hytr pessoal e bom fim semana de solinho  535reqef34 r4v8p
    28 de Fevereiro de 2026, 20:31
  • FELISCUNHA: ghyt74  Pessoal   4tj97u<z
    27 de Fevereiro de 2026, 10:51
  • JPratas: try65hytr Pessoal  4tj97u<z 2dgh8i k7y8j0 classic
    27 de Fevereiro de 2026, 04:57

Autor Tópico: Neural Networks for Business Analytics with R  (Lida 253 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Online mitsumi

  • Sub-Administrador
  • ****
  • Mensagens: 130689
  • Karma: +0/-0
Neural Networks for Business Analytics with R
« em: 19 de Maio de 2021, 17:39 »
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.51 GB | Duration: 2h 20m

What you'll learn
Understand the intuition behind Artificial, Recurrent, and Convolutional Neural Networks (ANN, RNN, and CNN)
Understand the intuition behind Credit Scoring Models
Build a Credit Scoring Prediction Model using Neural Networks with R´s package NeuralNet
Requirements
Basic knowledge of spreadsheets and Rstudio
Description
Would you like to build predictive models using neural networks? That´s precisely what you will learn in this course "Neural Networks for Business Analytics." My name is Carlos Martínez, I have a Ph.D. in Management from the University of St. Gallen in Switzerland. I have presented my research at some of the most prestigious academic conferences and doctoral colloquiums at the University of Tel Aviv, Politecnico di Milano, University of Halmstad and MIT. Furthermore, I have co-authored more than 25 teaching cases, some of them included in the case bases of Harvard and Michigan.

This is a very comprehensive course that includes presentations, tutorials, and assignments. The course has a practical approach based on the learning-by-doing method in which you will construct a credit scoring predictive model using a real dataset from a car dealer in a developing country. In addition to the videos, you will have access to the R code that we will develop in the videos and to the solutions of the assignments included in the course with which you will self-evaluate and gain confidence in your new skills.

The ideal students of this course are university students and professionals interested in business analytics. This is an introductory course and the only requirement a basic knowledge of spreadsheets and Rstudio.

I hope you are ready to upgrade yourself and learn to build a predictive model using neural networks. I´ll see you in class!

Who this course is for:
University students and young professionals interested in pursuing a career in business analytics

Screenshots


Download link:
Só visivel para registados e com resposta ao tópico.

Only visible to registered and with a reply to the topic.

Links are Interchangeable - No Password - Single Extraction