The Importance of Feature Engineering

When people first see a demo of BigML, there is often a sense that it is magical. The surprise likely stems from the fact that this isn’t how people are accustomed to computers working; rather than acting like a calculator creating a fixed outcome... Continue reading →
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Big Data Spain Presentation

I was invited to give a talk at Big Data Spain in Madrid, Spain on November 18. If you are keeping track, I was in Barcelona at PAPIs.io the previous day, and even worse I hadn’t slept more than 4 hours in the previous 3 days between traveling, presenting, and preparing to present.… Continue reading →

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PAPIs.io 2014 Presentation

I had the opportunity to present a demo of BigML at the first Predictive APIs conference in Barcelona, Spain. I was the very first speaker on the very first day and other than a few problems with the WiFi dropping out on me and the difficulty reading the terminal during the API demo, everything well.… Continue reading →

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Data Science Melbourne Meetup

After we launched BigML in Australia, we spent two weeks in Melbourne touring, giving demos, and talking to potential customers. One of the great venues I was invited to was the Data Science Melbourne meetup. They recorded the talk and made it available on youtube.… Continue reading →

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BigML Late Summer 2014 Webinar – Anomaly Detection!

Things at https://bigml.com were busier than ever in 2014, and by mid-year we had already introduced a second machine learning algorithm with our new Anomaly Detector, based on Isolation Forests. Of course there was also a bunch of other new features as well:

– Model Clusters
– Missing Splits
– Anomaly Detector
… And a tease for a few upcoming things:

– Sample Server
– Dynamic Scatterplot
– Projects

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The Value of Things (VoT): MassTLC IoT Conference Panel

I was invited to speak on a panel at the MassTLC VoT conference in June. The topic of the panel was “Analyzing data to get actionable intelligence” which was a perfect opportunity to discuss the applicability of Machine Learning to the analysis of the data deluge that the Internet of Things will likely bring.… Continue reading →

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BigML Spring 2014 Webinar – Clustering!

This webinar introduced BigML’s K-means clustering algorithm, which was our first unsupervised learning algorithm. I worked hard on this webinar to come up with several easy-to-demonstrate applications of clustering. One of the coolest thing though is our Model Clusters feature which is a great way to “discover” the rules that describe each individual group in the cluster.… Continue reading →

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BigML API Webinar Mar 2014

This is the API webinar are promised at the end of the previous webinar when I was talking about “Programmatic ML”. I think it’s really important that even though BigML has such an excellent User Interface, BigML is an API first company; we export the same API at bigml.io that we use internally for our own UI.… Continue reading →

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BigML Webinar, January 28, 2014: Winter 2014 Release

This is the second BigML webinar – I got a little more technical with this one and used real data from Prosper. It’s pretty amazing the pace at which we implement new features; it had only been a few months since the last webinar and we brought:

Dataset filtering
Training weights
Adding dataset fields including Flatline
Node Threshold
Multi-Datasets
Batch Predictions
In-memory trees
… and of course the Development free tier

 … Continue reading →

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BigML Webinar, September 25, 2013: Fall 2013 Release and More

This is the first webinar I did for BigML. I’m pretty sure this is the one where one of the people attending left a comment that they expected the webinar to be live and not recorded. Of course, it *was* live!… Continue reading →

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