AI News, Classifications in R: Response Modeling/Credit Scoring/Credit Rating using Machine Learning Techniques

Classifications in R: Response Modeling/Credit Scoring/Credit Rating using Machine Learning Techniques

Though we have selected credit scoring problem as a case study in this article, the same process will be applicable for wide range of classification or regression problems “Response modeling”, “Risk Management”, “Attrition/Churn management”, “Cross-Sell/Up-Sell”, “usage Patterns”, “Net Present Value”, “Life Time Value”, “Predictive Maintenance and condition based monitoring”, “Warranty”, “Reliability”, “Failure Prediction”, “Image/Video Processing”, “Crime”, “Medical Experiments”, “Hidden pattern recognition” .

The basic difference of traditional modeling and machine learning is that “in traditional modeling we intend to set up a modeling framework and try to establish relationships while in machine learning we allow the model to learn from the data by understanding the hidden patterns”.

11. Introduction to Machine Learning

MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: Instructor: Eric Grimson ..

Machine Learning vs Deep Learning vs Artificial Intelligence | ML vs DL vs AI | Simplilearn

This Machine Learning vs Deep Learning vs Artificial Intelligence video will help you understand the differences between ML, DL and AI, and how they are ...

Research in Computer Science & Engineering

Big Data Tools and Technologies | Big Data Tools Tutorial | Big Data Training | Simplilearn

This Big Data Tools Tutorial will explain what is Big Data?, Big Data challenges and some of the popular Big Data tools involed in Big Data processing and ...

Khan Academy: Rethinking how we learn, David Hu at TEDxUFM

Despite being only 21 years old, David Hu is a Software Development Intern in Khan Academy, where he has proposed and implemented "The Machine ...

MIT 6.S094: Deep Learning

This is lecture 1 of course 6.S094: Deep Learning for Self-Driving Cars (2018 version). This class is free and open to everyone. It is an introduction to the practice ...

3. Systems Modeling Languages

MIT 16.842 Fundamentals of Systems Engineering, Fall 2015 View the complete course: Instructor: Olivier de Weck This lecture ..

KDD2016 paper 1054

Title: How to Compete Online for News Audience: Modeling Words that Attract Clicks Authors: Joon Hee Kim*, Korea Advanced Institute of Science and ...

What is CACHE LANGUAGE MODEL? What does CACHE LANGUAGE MODEL mean?

What is CACHE LANGUAGE MODEL? What does CACHE LANGUAGE MODEL mean? CACHE LANGUAGE MODEL meaning - CACHE LANGUAGE MODEL ...

Lecture 16 | Adversarial Examples and Adversarial Training

In Lecture 16, guest lecturer Ian Goodfellow discusses adversarial examples in deep learning. We discuss why deep networks and other machine learning ...