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).
Guest blog by Dr. Prashanth Southekal. Prashanth is an experienced technology professional who understands what it takes to run efficient technology based solutions, processes, and organizations. He brings… Read More »Data Isn't Everything
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
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
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
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
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
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 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
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
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
