data science

TechCast #110 – Chris Baglieri

In this episode, host Ken Rimple talks to Chris Baglieri of BlackFynn on the company’s work in health research-related data science. He discusses how he and his team aids researchers who are attacking Parkinson’s disease and other disorders. They’ve been doing the deep genetic research that has benefitted cancer research over the past two decades. … Read More

Pink Noise in Neural Nets: A Brief Experiment

Disclaimer: Some basic exposure to machine learning is assumed.   Neural nets are on the rise, now that computing power and parallel data processing capabilities have reached the levels that allow them to shine. Recurrent neural nets, the more sophisticated kind that possess time dynamics, have achieved spectacular results in certain areas. Overfitting, however, has … Read More

The O'Reilly AI Conference

I recently attended the O’Reilly AI Conference in New York where artificial intelligence practitioners showcased the impressive strides they’ve made so far in using AI for real-world applications

Data I/O 2013 – All the Data and Still Not Enough??? – Claudia Perlich

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Predictive modeling is one of the figureheads of big data. Machine Learning Theory asserts that the more data the better, and empirical observations suggest that the more granular data, the better the performance (provided you have modern algorithms and big data) but the paradox of predictive modeling is that when you need models the most, even all the data is not enough.

The DataPhilly Meetups

Sujan Kapadia writes: “This year I’ve started going to the DataPhilly meetups, and I think I’m hooked. The bottom line is DataPhilly talks are very intriguing, expose you to topics you don’t encounter everyday, and give you the chance to meet “non-traditional” developers (scientists and statisticians), whose ranks are rapidly growing.”

DevNews #68 – Clouds and Androids abound, reactive ones!

With a week of the gang has a lot to talk about, from reactive programming in Javascript with Bacon.js, to the failure of a startup (so long, and best of luck to the EverPix team, we loved your service) to the brain drain in academia due to data science, to some nitty gritty Javascript, a new reactive project in Spring, we got it all. Don’t forget to post us on the LifeHacker favorite podcasts page!

TechCast #79 – Chariot’s Sujan Kapadia and Ken Rimple talk about OSCON 2013

The TechCast is sponsored by Chariot Solutions Education Services – for training in Scala, Spring, Grails, Android, Maven and more. We aren’t just slide turners, either. Ask us about interactive mentoring and semi-structured learning as well. The TechCast this week was devoted to Sujan’s trip to OSCON 2013. He and a number of other Chariot … Read More

Chariot Developer News Episode #52 – SIM Card Hacking, JS tools, Unix tools for BigData

Show Links Sim Card Hack exposes potentially – millions of phones, potentially. Here’s hoping our phones use Triple-DES encryption. Foundation -vs- Twitter Bootstrap – a good overview of both and their strengths. Great comments as well. Unix commands for data science That’s what i sed, unix util(s) for fun and profit, head to your couch, … Read More