Let us begin with machine learning Machine learning means that machines can learn to use big data sets to learn rather than hard-coded rules. It is the core of artificial...
In many of my presentations and lectures, I have made the following declaration: In Big Data, it isn’t the volume of data that’s interesting, it’s the granularity; ...
As we live through the ever-changing world, education is the sphere that remains surprisingly behind the general rapid advancement. The WEF Future of Jobs Report 2018 sta...
This article was written by V Sharma. Astonishing Hierarchy of Machine Learning Needs – Artificial intelligence and machine learning are used interchangeably often ...
Chatbots have emerged as one of the most significant innovations of the last decade. After initial struggles, chatbots are now readily used by businesses. Various advanta...
With a ROC curve, you’re trying to find a good model that optimizes the trade off between the False Positive Rate (FPR) and True Positive Rate (TPR). What counts...
This infographic was produced by 365DataScience. Last year they completed a research on 1,001 data scientists to get a profile of the ‘typical’ data scientist in 201...
With the two most recent ones, in this CRC series, published in January 2019. The objective of the series is to provide high-quality volumes covering the state-of-the-a...
This article was written by James Le. Here is a brief summary. Link to the full article is provided at the bottom. Some techniques are not mentioned in Le’s article...
This article was written by Harsh Sikka. This version is a summary of the original article. Start with Mathematics for Machine Learning Specialization on Coursera. If...