What is Map Reduce Programming and How Does it Work
Introduction Data Science is the study of extracting meaningful insights from the data using various tools and technique for the growth of the business. Despite its incep...
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Orchestrating Dynamic Reports in Python and R with Rmd Files
Do you want to extract csv files with Python and visualize them in R? How does preparing everything in R and make conclusions with Python sound? Both are possible if you ...
Kaggle's Rachel Tatman on what to do when applying deep learning is overkill
Deep Learning an emerging branch of machine learning, has garnered a lot of recognition in the field of technology over the last decade. It is regarded as a game-changer ...
Gartner and Forrester Begin to Weigh in on Automated Machine Learning (AML)
Summary: AML has been around since at least 2016 but only in the last year have Gartner and Forrester begun to offer their opinions. Here’s where we stand. This has...
Introduction to Markov Chains
This article was written by Devin Soni. Markov chains are a fairly common, and relatively simple, way to statistically model random processes. They have been used ...
The Journey of Machine Learning Through Banking & Insurance Industry
When we take into account the insurance and banking industry, data plays a central role in it. Insurance is a people-centric business. A business that heavily relies on a...
Performance evaluation of cloud computing platforms for Machine Learning
A use case on Logistic regression training Over the last few years there are several efforts for more powerful computing platforms to face the challenges imposed by emerg...
Exploit Economics of Autonomous to Transform Your Organization
One of the biggest threats to our world economy (outside of climate change, social inequality, unregulated proliferation of weapons and the rise of Terminators), is the r...
33 Statistical Concepts Explained in Simple English – Part 14
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
30 Statistical Concepts Explained in Simple English – Part 15
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...