dats'n'stats artwork

dats'n'stats

7 episodes - English - Latest episode: about 4 years ago - ★★★★★ - 8 ratings

Interview-based podcast on all things data science, entrepreneurship, statistics, machine learning, open source, and Python. Formerly PyData Deep Dive.

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Episodes

Kevin Systrom - After Instagram: Bayesian modeling of COVID-19 with PyMC3

June 28, 2020 12:00 - 49 minutes - 33.9 MB

Kevin Systrom is the co-founder and former CEO of Instagram. In this episode we talk about his time after leaving the company, whether becoming a billionaire made him happier, how to decide what to work on, the Japanese concept of Ikigai, or a reason for being, and meditation. We then dive into his current project -- rt.live -- a website which tracks the spread characteristics of COVID-19. The statistical model underlying the website is Bayesian and built using PyMC3. Kevin shares why he ch...

Jeremiah Lowin - How to navigate your startup through the COVID-19 pandemic

April 09, 2020 10:00 - 50 minutes - 34.7 MB

In this episode I talk with Jeremiah Lowin, founder and CEO of Prefect, the company behind the open-source dataflow automation tool of the same name. We first dive into his background in risk management and his frustrations behind trying to automate certain tasks using the currently available tools. This inspired him to write Prefect, an open-source dataflow automation tool for Python which focuses on the data scientist's needs. We go on to discuss his decisions and experiences in founding...

Matt Rocklin - Parallel Computing & Founding OSS Companies

March 02, 2020 11:00 - 52 minutes - 36 MB

In this episode I talk with Matt Rocklin. Matt is best known for his work on Dask, a parallel computing package built into the PyData stack. After working on open source software at Anaconda and NVIDIA he now founded his own company centered around Dask called Coiled Computing. In this episode we talk about the insights into open source he gained through his career, what Dask is and how it is funded, and then of course his new company. Links: https://twitter.com/mrocklin https://dask.org ...

Ep2: Travis Oliphant - The past, present and future of PyData

January 06, 2020 14:00 - 1 hour - 42.3 MB

Let's welcome the new year with a new episode of the PyData Deep Dive. In this episode I talk to Travis Oliphant: Founder of Anaconda Inc and Quansight Inc, as well as the creator of NumPy. In this episode Travis takes us from the early days of NumPy up to the current state and future of the PyData ecosystem and how Quansight is contributing to that future. Special thanks to my Patreons Andrew Ng, Daniel Gerlanc, and Richard Craib. If you would like to support the podcast go to: https://...

Travis Oliphant - The past, present and future of PyData

January 06, 2020 14:00 - 1 hour - 42.3 MB

Let's welcome the new year with a new episode of the PyData Deep Dive. In this episode I talk to Travis Oliphant: Founder of Anaconda Inc and Quansight Inc, as well as the creator of NumPy. In this episode Travis takes us from the early days of NumPy up to the current state and future of the PyData ecosystem and how Quansight is contributing to that future. Special thanks to my Patreons Andrew Ng, Daniel Gerlanc, and Richard Craib. If you would like to support the podcast go to: https://...

Chris Fonnesbeck - Probabilistic Programming

September 16, 2019 00:00 - 54 minutes - 37.2 MB

I am beyond excited to share this first episode of the PyData podcast with you. The idea is to have a free-form discussion with interesting guests which does not shy away from more advanced topics. In this episode I talk to Chris Fonnesbeck: Professor for biostatistics at Vanderbilt University and, as of recent, Data Scientist at the New York Yankees. We start off this discussion by talking about Bayesian statistics, probabilistic programming. Chris then talks about the history of PyMC and ...

Ep1: Chris Fonnesbeck - Probabilistic Programming

September 16, 2019 00:00 - 54 minutes - 37.2 MB

I am beyond excited to share this first episode of the PyData podcast with you. The idea is to have a free-form discussion with interesting guests which does not shy away from more advanced topics. In this episode I talk to Chris Fonnesbeck: Professor for biostatistics at Vanderbilt University and, as of recent, Data Scientist at the New York Yankees. We start off this discussion by talking about Bayesian statistics, probabilistic programming. Chris then talks about the history of PyMC and ...

Twitter Mentions

@twiecki 2 Episodes
@fonnesbeck 2 Episodes
@teoliphant 2 Episodes
@mrocklin 1 Episode
@empiricayan 1 Episode
@jlowin 1 Episode
@richardcraib 1 Episode
@dgerlanc 1 Episode
@_jonathanng_ 1 Episode
@kevin 1 Episode