Published Sep 21, 2021

SDS 507: Bayesian Statistics — with Rob Trangucci

Rob Trangucci delves into Bayesian statistics, contrasting its complexity and practical applications with traditional methods, while offering insights from his PhD journey and the integration of Bayesian approaches in machine learning.

Episode Highlights

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Episode Highlights

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SDS 507: Bayesian Statistics — with Rob Trangucci

Topics covered

Popular Clips

Bayesian Inference Insights

Bayesian Sampling Techniques

Future of Connectivity

Gaussian Processes Insights

Understanding Stan

Academic Pursuits in Data

Multimodal Optimization Challenges

Hamiltonian Monte Carlo

Bayesian Foundations

Contributing to Stan

Bayesian Inference Insights

Multimodal Distributions

Bayesian vs Frequentist

Bayesian Insights Unveiled

Understanding Gradients

Episode Highlights

PhD Experiences

Machine Learning and Bayesian

Bayesian Statistics

Related Episodes

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

793: Bayesian Methods and Applications — with Alexandre Andorra

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

SDS 433: Data Science Trends for 2021 — with Ben Taylor

SDS 429: 2020's Biggest Data Science Breakthroughs — with Jon Krohn

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

SDS 539: Interpretable Machine Learning — with Serg Masís

SDS 439: Deep Learning for Machine Vision — with Deblina Bhattacharjee

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

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

SDS 552: The Most Popular SuperDataScience Episodes of 2021 — with Jon Krohn

SDS 555: Sports Analytics and 66 Days of Data with @KenJee_ds

SDS 537: Data Science Trends for 2022 — with Sadie St. Lawrence

SDS 613: Causal Machine Learning — with Emre Kiciman

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

SDS 507: Bayesian Statistics — with Rob Trangucci

Topics covered

Popular Clips

Episode Highlights

PhD ExperiencesRob Trangucci discusses his academic journey and the intricacies of pursuing a PhD in statistics. He shares insights into the challenges and rewards of balancing industry experience with academic research.

PhD Experiences

Machine Learning and Bayesian

Bayesian StatisticsRob Trangucci, an expert in Bayesian statistics, discusses its foundational concepts, tools, and practical applications. He highlights the advantages of Bayesian methods over frequentist approaches, particularly in decision-making and handling complex data challenges.

Bayesian Statistics

Related Episodes