Below is my contrarian answer to one question recently posted on Quora. It depends on what you mean by “no experience”. An NASA scientist who has processed petabytes ...
Facial Recognition Facial recognition technology was always a mythical concept that we thought could be a tool that could solve many of our problems but would never see t...
Outliers are patterns in data that do not confirm to the expected behavior. While detecting such patterns are of prime importance in Credit Card Fraud, Stock Trading etc....
By Michael Heilman, Civis Analytics scikit-learn is a wonderful tool for machine learning in Python, with great flexibility for implementing pipelines and running exper...
An important principle of data science is that data mining is a process. It includes the application of information technology, such as the automated discovery and evalua...
Learn how to transform data into business insight with these Data Tutorials and eBooks. Deep Reinforcement Learning Hands-On By Maxim Lapan This practical guide will teac...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
The work is done by Jatinder Singh (also co-authored this article) and Iresh Mishra. Also thanks to Saurabh Singh for his guidance. In past, I had written about how ...
Summary: Even if you’re not big enough to have a full blown data science group that shouldn’t hold you back from benefiting from AI. The market has evolved so tha...