What does the customer want? And why do they want it? These are the age old questions that marketers have tried answering to improve their business impact. Customer knowl...
In the late 1990s, AI rose to prominence. In 1997, IBM’s Deep Blue supercomputer grabbed headlines for defeating the world chess champion then, Garry Kasparov. We h...
Recently Kaggle master Kazanova along with some of his friends released a “How to win a data science competition” Coursera course. The Course involved a final...
The drafts of the two final chapters of The Hundred-Page Machine Learning Book are now online. They consider metric learning, learning to rank, learning to recommend (inc...
Introduction In this post, I explain the maths of Deep Learning in a simplified manner. To keep the explanation simple, we cover the workings of the MLP mode (Multilaye...
Summary: Here are our 5 predictions for data science, machine learning, and AI for 2019. We also take a look back at last year’s predictions to see how we did. It�...
To play with this interactive tool, visit this page. For other visualization resources, click here. DSC Resources Book and Resources for DSC Members Comprehensive Reposit...
Author: Partha Deka and Rohit Mittal 1. Introduction Automation in Industrial manufacturing: Today’s increased level of automation in manufacturing also demands autom...
Gartner recently published a report titled “CIO Agenda 2019: Exploit Transformational Technologies” that states the following: “Whether it’s AI, quantum computin...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...