You've heard that machine intelligence is going to transform our lives any day now.

This is usually presented in a way that's vague and nondescript.

This week we look at some specific ways machine learning is working for humans.

On Talk Python to Me, you'll meet Patrick Hayes, the CTO of Sigopt, whose goal is to accelerate machine learning by optimizing everything.

That's a pretty awesome goal. Listen

into this episode and learn all about it. It's episode number 51 recorded March 3rd, 2016.

I'm a first developer in many senses of the word because I make these applications,

but I also use these verbs to make this music.

I constructed line by line just like when I'm coding another software design.

In both cases, it's about design patterns.

Anyone can get the job done.

It's the execution that matters.

I have many interests.

Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.

This is your host, Michael Kennedy. Follow me on Twitter where I'm at M. Kennedy.

Keep up with the show and listen to past episodes at TalkPython.fm, and follow the show on Twitter via At Talk Python.

This episode is brought to you by Hired and SnapCi.

Thank them for supporting the show on Twitter via at Hired underscore H.

And at Snap underscore CI.

A couple of quick updates for you before we get to the interview with Patrick.

First, I want to thank all of you who participated in helping me launch Talk Python training through Kickstarter. I finished the course, got the website

online, it's training.compaton.fm, and added all the Kickstarter backers who have filled out the survey

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