by Jake Drew, PhD Introduction This article describes methods for machine learning using bootstrap samples and parallel processing to model very large volumes of data in short periods of time. The R programming language includes many packages for machine learningContinue reading… Machine Learning in Parallel with Support Vector Machines, Generalized Linear Models and Adaptive Boosting
Tag: data science
Regulating AI – The Road Ahead
by William Vorhies Summary: With only slight tongue in cheek about the road ahead we report on the just passed House of Representative’s new “Federal Automated Vehicle Policy” as well as similar policy just emerging in Germany. As a model of regulation onContinue reading… Regulating AI – The Road Ahead
What Skills Do I Need to Become a Data Scientist?
by Ronald van Loon Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention,Continue reading… What Skills Do I Need to Become a Data Scientist?
Six things Microsoft announced at its London AI event
Posted July 14, 2017 By Microsoft report Microsoft has laid out its vision for AI (artificial intelligence), which puts people at the heart of intelligent technology to empower them to achieve great things. The company is dedicated to democratizing AI for every personContinue reading… Six things Microsoft announced at its London AI event
Artificial Intelligence and the Death of Indian IT Sector
GUEST BLOGGER: HARPREET SINGH Harpreet Singh is the Founder and Co-CEO of Experfy, big data and IoT consulting and training marketplace that offers courses to learn big data, iot analytics, and big data management based in the Harvard Innovation Launch Lab. A Harvard-trained PhD, he works at theContinue reading… Artificial Intelligence and the Death of Indian IT Sector
The difference between Artificial Intelligence & Machine Learning
Guest Post by Laura Mauersberger on 27 June 2017 This is why we thought it would be a good idea to write a blog on the subject. WHAT IS ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING? Both terms pop up frequently now adays, expeciallyContinue reading… The difference between Artificial Intelligence & Machine Learning
I am glad to speak at Oslo Big Data Day (OBDD) Conference
Oslo Big Data Day (OBDD) is the largest of its kind, andcompletely free (for business users), Big Data conference in Oslo, Norway. It’s Spearheaded by a steering committee of big data enthusiasts & experts together with representatives of the facultyContinue reading… I am glad to speak at Oslo Big Data Day (OBDD) Conference
Here are 250 Ivy League courses you can take online right now for free
The 8 Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia universities, and the University of Pennsylvania. All eight schools place in the top fifteen of theContinue reading… Here are 250 Ivy League courses you can take online right now for free
Microsoft presents The Explanimators – Episode 1: An Animated Guide to Artificial Intelligence
An Introduction to Machine Learning with AI Artificial intelligence is helping make the world a more sustainable environment. Microsoft recently released a video covering the topic of AI and machine learning. The video points out that AI has helped increasedContinue reading… Microsoft presents The Explanimators – Episode 1: An Animated Guide to Artificial Intelligence
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Abstract Secondary use of electronic health records (EHRs) promises to advance clinical research and better inform clinical decision making. Challenges in summarizing and representing patient data prevent widespread practice of predictive modeling using EHRs. Here we present a novel unsupervisedContinue reading… Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records