It has been rightly stated by many that the sexiest and most attractive job of the 21st century is “Data Scientist”. However, have you ever wondered why this job title such a sought after position in today’s market? The short and simple answer is that over the last decade there…
Algorithms
Start learning machine learning algorithms used in R tutorials such as Apriori Algorithm, Artificial Neural Networks Algorithm, Decision Trees Algorithm, K Means Clustering Algorithm, K-nearest Neighbors Algorithm (KNN), Linear Regression Algorithm, Logistic Regression Algorithm, Naive Bayes Classifier Algorithm, Random Forests Algorithm, and Support Vector Machine Algorithm.
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Machine Learning
What Have Supercomputers Accomplished and What Will They Do Next?
by John Wingateby John WingateSupercomputers are the strongest, fastest computers in the world today. These machines fill up entire rooms and process trillions of numbers each day. Their power is unmatched and new versions are released every year. The past accomplishments of the world’s strongest computers can only be matched by their future potential.…
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Artificial Intelligence
Why Artificial Intelligence Will Make You Question Everything
by John Wingateby John WingateAbout two hundred years ago the notable industrial revolution immutably and significantly remolded our society. Today, however, another revolution is unfolding that has potentially further reaching ramifications. According to experts, artificial intelligence is going to significantly change and alter the way humans manufacture, produce and deliver. In other words, it…
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R Data Analysis
Decision Tree Analysis with Credit Data in R | Part 1
by John Wingateby John WingateIn this R tutorial, we will review credit scoring of mortgage loans and the criteria that cause an applicant to be rejected. This will be the review of each applicant and review the percentage of the applications that were approved but should have been rejected. The risk of loaning mortgages inquires…
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In this R tutorial, we will use data analysis for mushrooms. Every year many people become sick or even die from eating mushrooms that are poisonous. The purpose of this report to is to show the distinction between edible and non-edible mushrooms. The differences will be created by the odor…