An intro to Probabilistic Programming with Ubers Pyro

Probabilistic programming languages are built to harness the predictive power of probability distributions. Instead of making them a feature, they use these distributions as primitives with their own set of operands that allow for the creation of stochastic control flows. Since the real world is full of uncertainty, this type of thinking is useful to help build better AI systems. I'll use Uber's newly released Pyro tool to demonstrate how they work.

Code for this video (with coding challenge):

Shannon's winning code:

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[decreer]

I would just like to thank you for all these tutorials. I always wanted to get into machine learning in a quick, but efficient way without being spoon feed. I would normally have to wait until colledge, but I can learn all that stuff before my junior year ends. Thank You

[phaser]

Siraj sure manages to make a relatively complicated topic understandable in under 9 mins ... best explanation of PPL I've heard to-date!

[tianzicai]

Siraj must be one of the happiest people in the world!!

[Jacob]

It amazes my how fast you can process and understand all this new information.

[MrPhirip]

Really love the format of these videos!

[thestophewatts]

I can tell you've incorporated some feedback. Instead of just blazing thru with some small print code, you have slowed down, but not too slow, and made some code text font size easier to see and follow, for those like me who aren't experts. A very well done video, more of an effective teaching approach than i've seen in prior videos. Cheers and thanks!

[mjahangeerqureshi]

Always a pleasure to receive your great insights Siraj.

[chiranjeebroychowdhury]

Man.. you are fast!
Enjoyed the video. Didn't know about the existence of Uber Movement, let alone the fact that Uber has a dedicated AI wing capable of making a library!!!
Keep up the good work!

[Barnardrab]

Nice hitting on nostalgia with the Super Mario World map.

[WillTesler]

Awesome intro describing evolution of programming languages.

[vijayabhaskar-j]

Siraj Ravel=Khan Academy for Cutting edge Technologies.

[matthewrice]

Shouldn’t you at least credit Computerphile when using their clips?

[imax]

Siraj, love your explanations man. Not my field, but man I'm considering merging it with mine...

[gauravbhandup]

This week's challenge - count how many time siraj has said probabilistic in this video...

[Ronnypetson]

Probabilistic programming.. sounds awesome

[ShaunHusain]

Would be nice to point back to computerphile or other sources if you decide to use their content. Love your vids just like to see credit where credit due.

[temiwale]

Hey Siraj I just wanted to say I consider your channel to be a resource for machine and deep learning content. Thanks so much for your dedication and efforts. I pray that God rewards you for helping us!

[alhmadvlogs]

Siraj hey im abrar from india i like ur videos so much .... nice i can get anything from this channel.

[mustafaae]

I get depressed when i watch ur videos man, i feel like my brain is a piece of shit lol

[AkashMishra]

Another new tool for me to play definitely discuss this at Nvidia's Dev Connect....