Key-Object – A New Paradigm in Search?
Summary: The premise of this new Key Object architecture is that search is broken, at least as it applies to complex merchandise like computers, printers,… Read More »Key-Object – A New Paradigm in Search?
Home » Archives for 2016
2016
Data Science in Marketing – What It Is & How You Can Get Started
At my LinkedIn Profile, I recently got an email from a Dell Recruiter who was looking to interview me for a Marketing Data Scientist position… Read More »Data Science in Marketing – What It Is & How You Can Get Started
43 New External Machine Learning Resources and Updated Articles
Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of… Read More »43 New External Machine Learning Resources and Updated Articles
How to Use Cohort Data to Analyze User Behavior
Guest blog post by By Jacob Joseph, originally posted here. In the world of data analysis, one tool is often left unused. While being a very powerful… Read More »How to Use Cohort Data to Analyze User Behavior
Implementation of 17 classification algorithms in R
This long article with a lot of source code was posted by Suraj V Vidyadaran. Suraj is pursuing a Master in Computer Science at Temple university… Read More »Implementation of 17 classification algorithms in R
Tutorial – foundations of machine learning and data science for developers
Here is a tutorial I have created (foundations of machine learning and data science for developers) It is based on my insights from the Enterprise AI… Read More »Tutorial – foundations of machine learning and data science for developers
Digital Transformation helping to reduce patient's readmission
Digital Transformation is helping all the corners of life and healthcare is no exception. Patients when discharged from the hospital are given verbal and written… Read More »Digital Transformation helping to reduce patient's readmission
Context Levels in Data Science Solutioning in real-world
A Data science-based solution needs to address problems at multiple levels. While it addresses a business problem, computationally it is comprised of a pipeline of algorithm… Read More »Context Levels in Data Science Solutioning in real-world
50 years of Data Science
David Donoho published a fascinating paper based on a presentation at the Tukey Centennial workshop, Princeton NJ Sept 18 2015. The paper got the attention on Hacker… Read More »50 years of Data Science
Human Brain vs Machine Learning – A Lost Battle?
Human (or any other animal for that matter) brain computational power is limited by two basic evolution requirements : survival and procreation. Our “hardware” (physiology)… Read More »Human Brain vs Machine Learning – A Lost Battle?