Summary: If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey. We get lots of inquiries fro...
Big Data, Data Analytics, Data Science – all these terms make a noise in the world! Here are a few examples to clarify the difference and avoid messing them up: Goo...
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...
Artificial intelligence now fits in our daily lives and is deployed in more and more business sectors, hustling human expertise. Artificial intelligence should transform ...
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...
As mentioned by Tom Davenport few years back, Data Scientistis still a hottest job of century. Data scientists are those elite people who solve business problems by analy...
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 ...