A Plethora of Data Set Repositories
These 19 ‘sets of data sets’ cover free or public data from various industries, including small and large, structured and unstructured data sets. Hone your… Read More »A Plethora of Data Set Repositories
Home » Archives for Vincent Granville
Vincent Granville
Author and Publisher at MLtechniques.com. Machine learning scientist, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent also founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target).
Modern Computational Advertising on Social Networks: The Basics
The two situations discussed here also apply to marketing (not just advertising), and not just using social networks, but other channels such as Google. The… Read More »Modern Computational Advertising on Social Networks: The Basics
The Challenge of Hiring a Chief Data Scientist
Guest blog by David Stephenson, Ph.D. David is a data science and big data analytics speaker and thought leader. For over 15 years, David has been delivering analytic… Read More »The Challenge of Hiring a Chief Data Scientist
Data Science for IoT vs Classic Data Science: 10 Differences
Guest blog by Ajit Jaokar. Ajit”s work spans research, entrepreneurship and academia relating to IoT, predictive analytics and Mobility. His current research focus is on applying data science… Read More »Data Science for IoT vs Classic Data Science: 10 Differences
Set the Machines free to learn
Guest blog by Christopher Fernandes, Business Architecture / Strategy Director. A decade ago straight through processing was a buzz word and speed to market was critical. The… Read More »Set the Machines free to learn
16 Great IoT Articles Published in 2016
This reference is a part of a new series of DSC articles, offering selected tutorials, references/resources, and interesting articles on subjects such as deep learning,… Read More »16 Great IoT Articles Published in 2016
Deep Learning: Definition, Resources, Comparison with Machine Learning
Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make robots intelligent,… Read More »Deep Learning: Definition, Resources, Comparison with Machine Learning
Performance From Various Predictive Models
Guest blog post by Dalila Benachenhou, originally posted here. Dalila is Professor at George Washington University. In this article, benchmarks were computed on a specific data… Read More »Performance From Various Predictive Models
50 IoT (Internet of Things) Predictions for 2016
IoT and data science are intertwined, as sensor data from wearables, transportation or healthcare systems, manufacturing and engineering, needs to be collected, refined, aggregated and… Read More »50 IoT (Internet of Things) Predictions for 2016
Designing better algorithms: 5 case studies
In this article, using a few examples and solutions, I show that the “best” algorithm is many times not what data scientists or management think… Read More »Designing better algorithms: 5 case studies