This article comes from Rylan Schaeffer Github. I’ve found that the overwhelming majority of online information on artificial intelligence research falls into one o...
Introduction Deep Learning can be used to automate just about every repetitive task that is currently or formerly performed by humans. Factory robots, autonomous cars, In...
This article was written by Tim O’Reilly. Source for picture: The Onion There are many signals of likely truth or falsity that can be verified algorithmically by a...
Principal Component Analysis (PCA) is a technique used to find the core components that underlie different variables. It comes in very useful whenever doubts arise about...
In this post, you discovered how to train a final machine learning model for operational use. You have overcome obstacles to finalizing your model, such as: Understanding...
Cross-validation is a technique used to assess the accuracy of a predictive model, based on training set data. It splits the training sets into test and control sets. T...
Every organization embraces analytics to gather, analyze and interpret data to make strategic business decisions at some point in time. As technology evolves and the amou...
Neural network or artificial neural network is one of the frequently used buzzwords in analytics these days. Neural network is a machine learning technique which enables ...
Why Machine Learning Doesn’t Work Well for Some Problems? Shahab Sheikh-Bahaei, Ph.D.* Principal Data Scientist Intertrust Technologies. Introduction Machine Learning (...
“65% of a company’s business comes from existing customers, and it costs five times as much to attract a new customer than to keep an existing one satisfied.” ̵...