I am glad to announce that I shall be presenting a live webinar with Domino Data Labs on July 20, 2016 from 11:00 – 11:30 AM PST on Model-Based Machine Learning and Probabilistic Programming using RStan. If you are interested in adopting machine learning but are overwhelmed by the vast amount of learning algorithms, this webinar will show how to overcome that challenge.
When I woke up this morning, I asked my assistant a simple question: “Siri, is it going to rain today?” Siri understood my intent, pulled the local weather data via an API and answered me in less than two seconds: “There’s no rain in the forecast for today.”
Cars are increasingly generating more and more data as they become ever more connected and empowered by smart, Internet of Things technology. The need to capitalize on this data is forcing auto manufacturers to rethink their data strategies. Thanks to modern telemetry, vehicles have been gathering and transmitting data on […]
As the final moments of Rutger Hauer’s tears in the rain monologue come to a close in Blade Runner , Netflix (or your streaming service of preference) has lined up some recommendations for your next viewing choice. From 2001: A Space Odyssey to The Matrix, the site’s algorithms find you similarly cerebral films that you may enjoy…or you may not.
Editor’s Note: This is the first in a four-part series on improving analytics output with feature engineering. Click here to read all the entries in the series. Predictive modeling is a formula that transforms a list of input fields or variables into some output of interest.
Artificial intelligence is a $15 billion dollar industry and growing. With more than 2,600 companies developing intelligent technology, the value of AI is expected to rise to more than $70 billion by 2020.
Artificial intelligence is approximating human reasoning more and more closely all the time. Wide-scale adoption by business may be approaching, with important implications for how people live and work. AI is paving the way for new business models and raising questions about how people and machines can best work together.
Everyone wants to launch a code camp these days. Even the White House is backing its own initiative. Despite the rush to spin up new schools to try to train developers to meet rising demand, there is little information about how good the students are who graduate from these programs. Do they stack up?
Time Series prediction is a difficult problem both to frame and to address with machine learning. In this post you will discover how to develop neural network models for time series prediction in Python using the Keras deep learning library. After reading this post you will know: About the airline passengers univariate time series prediction …
