When we look at broadly different kinds of Machine Learning that are used in practice in Artificial Intelligence
Historically, there have been several approaches in Machine learning for AI like supervised learning, unsupervised learning, reinforcement learning, case-based reasoning, inductive logic programming, experience based generalisation etc. there have been several examples of waves of machine learning for different AI problems. But, of them the 3 most important categories of…
ContinueAdded by Mahesh Kumar CV on May 5, 2019 at 1:00am — No Comments
AI is a new buzzword but there has been a lot of talk around analytics and prospects over a decade. Here we present a perspective that AI is a continuum of Analytics
Let us see how...
Different approaches in Data Science and analytics have been originated in the field of statistics.
AI has emerged on the other hand out of computer science as a practice and science of studying "intelligent agents".
The way is to treat AI as extending conventional analytics with a…
ContinueAdded by Mahesh Kumar CV on May 4, 2019 at 9:28am — No Comments
Hi All;
suppose I am working on Job Satisfaction. I have a question Hours worked each week ________
and the possible values are
(1) Extremely Dissatisfied
(2) Dissatisfied
(3)Somewhat satisfied
(4) Satisfied
(5) Extremely satisfied
Should I treat this variable ordinal or scale?
Added by Abdul Samad on November 18, 2015 at 10:43pm — No Comments
In this blog, I will be discussing some distinct types of data involved in feedback. The types that I will be covering are as follows: 1) structural; 2) event; 3) quantitative; 4) contextual; and 5) systemic. In 2014, I recall reading a number of blogs about three types of data: prescriptive, descriptive, and predictive. There was a data scientist apparently on tour lecturing extensively about these three types. I don't recall the individual's name. Well, prescription, description, and…
ContinueAdded by Don Philip Faithful on July 5, 2015 at 4:56am — No Comments
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