Published Jun 21, 2022

SDS 585: PyMC for Bayesian Statistics in Python — with Thomas Wiecki

Discover the transformative potential of Bayesian statistics with Thomas Wiecki as he delves into PyMC's innovative applications in marketing and data science, while also sharing insights on building a dynamic company culture at PYMC Labs.

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SDS 585: PyMC for Bayesian Statistics in Python — with Thomas Wiecki

Topics covered

Popular Clips

Community Building Insights

Marketing Mix Models

JAX and PYMC 4.0

Open Source Evolution

Probabilistic Programming Insights

Bayesian Statistics Unlocked

Bayesian Modeling Insights

Self-Motivation in Research

Bayesian Insights Unleashed

Python in the Browser

Bayesian Modeling Superpowers

Open Source Growth

Bayesian Learning Insights

Theano's Legacy

Episode Highlights

Applications of Bayesian Models

Company Culture and Development

PyMC Library and Development

Bayesian Statistics Overview

Related Episodes

793: Bayesian Methods and Applications — with Alexandre Andorra

SDS 507: Bayesian Statistics — with Rob Trangucci

SDS 581: Bayesian, Frequentist, and Fiducial Statistics in Data Science — with Xiao-Li Meng

SDS 617: Causal Modeling and Sequence Data — with Sean Taylor

SDS 523: Open-Source Analytical Computing (pandas, Apache Arrow) — with Wes McKinney

SDS 599: MLOps: Machine Learning Operations — with @Miki_ML

675: Pandas for Data Analysis and Visualization — with Stefanie Molin

SDS 591: Simulations and Synthetic Data for Machine Learning — with Mars Buttfield-Addison

SDS 571: Collaborative, No-Code Machine Learning — with Tim Kraska

SDS 587: Data Engineering for Data Scientists — with Mark Freeman

765: NumPy, SciPy and the Economics of Open-Source — with Dr. Travis Oliphant

SDS 563: How to Rock at Data Science — with @TinaHuang1

SDS 435: Scaling Up Machine Learning — with Erica Greene

SDS 539: Interpretable Machine Learning — with Serg Masís

SDS 593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration — with Philip Bourne

SDS 585: PyMC for Bayesian Statistics in Python — with Thomas Wiecki

Topics covered

Popular Clips

Episode Highlights

Applications of Bayesian Models

Company Culture and DevelopmentThomas Wiecki shares insights on building a successful company culture at PYMC Labs, emphasizing open-source principles and self-motivation. He discusses how transparent incentive structures and community engagement drive innovation and productivity.

Company Culture and Development

PyMC Library and DevelopmentThomas Wiecki discusses the development and technological innovations of the PyMC library, emphasizing its evolution and unique features. He highlights PyMC's integration with modern computational backends and its distinction from other Bayesian statistical libraries.

PyMC Library and Development

Bayesian Statistics Overview

Related Episodes