More @ML4ALL Intros: Meet Igor & Carol! Also, the bike ride map!

Ride a bike, machine learn the path, have a beer, see Portland, or come to find the artificial intelligence you’ve been looking for on our ML4ALL Ride! Ok, fancy word play aside, we’ll be having a ride the Sunday of the conference in Portland, and I’ve put together the route below. I’ll have more information about the ride real soon and look forward to others joining me for the slow roll. Stay tuned and I’ll have a LOT more details, but now, meet two more of our upcoming speakers; Igor and Carol!

ML4ALL Ride
ML4ALL Ride

 

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@ML4ALL Meet Clair J. Sullivan & Ricky Hennessy

ricky-hennessyUsing Machine Learning to Increase Health Insurance Coverage

Ricky (@rickyhennessy) works as a Sr. Data Designer at Fjord, Design and Innovation from Accenture. Previously, he was at frog design, where he worked as a Sr. Data Scientist. Working at the intersection of data science and design, he’s been able to apply a more human centered approach to data science. He has also earned a PhD in biomedical engineering at UT Austin.

Working with a state run healthcare exchange, Ricky & team utilized their existing data to develop a machine learning model that could predict whether or not an individual was going to sign up for insurance through the exchange in the next open enrollment enrollment period. This model can then be used to inform outreach campaigns targeted at individuals at risk of dropping out of the exchange.

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ML4ALL Speakers – Meet Paige & Suz

Hello everybody and especially the upcoming ML4ALL attendees! For those that haven’t registered, here’s the link for that, and for those that have welcome aboard! Here’s two of the excellent speakers that will be presenting at ML4ALL Paige (@DynamicWebPaige) and Suz (@Noopkat)!

Paige & Suz both work on the amazing, now somewhat famous Microsoft Developer Advocacy team others like Peter Bright (@drpizza) wrote about in “Microsoft’s renewed embrace of developers developers developers” and James Governor (@monkchips) wrote in “On Hiring Jesse Frazelle: Microsoft’s developer advocacy hot streak continues” and I even wrote a blurb about many months ago. They’ve added even more awesome to a great team and will be coming to ML4ALL to do more of that.

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Kubernetes 101 Workshop

Today I TA’d (Teacher’s Assistant) a course with Bridget at GOTO Chicago Conference. There were a number of workshops besides just the Kubernetes 101 like; Working Effectively with Legacy Code with Michael Feathers (@mfeathers), Estimates or NoEstimates with Woody Zuill (@WoodyZuill), Testing Faster with Dan North (@tastapod), Data Science and Analytics for Developers (Machine Learning) with Phil Winder (@DrPhilWinder), and so many others that I’d love to have multi-processed all at the same time! Digging through Kubernetes from a 101 course level was interesting, as I’ve never formally tried to educate myself about Kubernetes, just dove in. My own knowledge is very random about what I do or don’t know about, and a 101 course fills out some of the gaps for me.

The conference is located in a cool and sort of strange place for a conference, out kind of in the lake, called the Navy Pier. Honestly, I dig it, it’s a cool place for a conference. I enjoyed the ~15 minute walk from the hotel to the location too, because it’s right there on the tip of the pier, as shown in the fancy map below.

chicagonavypier

The workshop is going well. Bridget is filling up student’s brains and I’m going to dork around Kuberneting some Cassandra and Node.js for my talk. I’m pretty stoked as the talk has given me a good excuse to delve into some Node.js again, from a nodal systemic viewpoint, “Node Systems for Node.js Services on Nodes of Systemic Nodal Systems” this Thursday.

Pricing Calculations for Work & Projects

Recently I’ve been paying a lot more attention to the job market as I go through the finding, hiring, and gaining customers routine with a number of different companies, recruiters, and individuals I know within the industry. Conversations kick off a million different ways. In this post I’m going to tackle how I work pricing of a job for myself. Many companies have some criteria based on what others in the company are paid and someone in human resources often has some spreadsheet or whatever that tracks this stuff. This is the flip side of the coin, this is my pricing list. It’s really simple, it’s based on what I’m looking for in life and what a company can give me, which in turn dictates what I can do for a company and aligning with what they want too. In the end, this helps insure we both get a win out of the relationship. Continue reading “Pricing Calculations for Work & Projects”