Accelerating Bayesian Workflows in R With causact
Adam Fleischhacker
Accelerating Bayesian Workflows in R With causact
1:03
Inspiring the Soft Side of Data Science
Adam Fleischhacker
Inspiring the Soft Side of Data Science
4:51
The Invisible Pool Toy - Best Pool Toy Ever!
Adam Fleischhacker
The Invisible Pool Toy - Best Pool Toy Ever!
0:30
Mapping Data to Colors in Makie.jl Using Array Attributes (guide for grammar-of-graphics lovers)
Adam Fleischhacker
Mapping Data to Colors in Makie.jl Using Array Attributes (guide for grammar-of-graphics lovers)
26:25
Extending Julia Functions - Adding a New Distribution to Distributions.jl for a Turing.jl Workflow
Adam Fleischhacker
Extending Julia Functions - Adding a New Distribution to Distributions.jl for a Turing.jl Workflow
14:10
Create a Spinner Animation in Julia using Luxor.jl and Julia-VSCode. - A Beginner's Experience
Adam Fleischhacker
Create a Spinner Animation in Julia using Luxor.jl and Julia-VSCode. - A Beginner's Experience
30:12
Circumscribe Text with An Ellipse in Julia using Luxor.jl and Pluto.jl. - A Beginner's Experience
Adam Fleischhacker
Circumscribe Text with An Ellipse in Julia using Luxor.jl and Pluto.jl. - A Beginner's Experience
11:17
R Walkthrough | Programmatically Downloading and Unzipping Shared Dropbox Folder in R
Adam Fleischhacker
R Walkthrough | Programmatically Downloading and Unzipping Shared Dropbox Folder in R
8:12
Chapter 25: Your Journey Continues
Adam Fleischhacker
Chapter 25: Your Journey Continues
3:34
Chapter 21: A Simple Linear Model
Adam Fleischhacker
Chapter 21: A Simple Linear Model
21:46
Chapter 20: Decision Making
Adam Fleischhacker
Chapter 20: Decision Making
24:14
Chapter 19: Posterior Predictive Checks
Adam Fleischhacker
Chapter 19: Posterior Predictive Checks
21:55
Chapter 13: Bayesian Inference On Graphical Models
Adam Fleischhacker
Chapter 13: Bayesian Inference On Graphical Models
10:07
Chapter 12: Graphical Models Tell Stories for Calculating Joint Distributions
Adam Fleischhacker
Chapter 12: Graphical Models Tell Stories for Calculating Joint Distributions
6:09
Chapter 11: Joint Distributions Let You Make Probabilistic Statements
Adam Fleischhacker
Chapter 11: Joint Distributions Let You Make Probabilistic Statements
11:42
Chapter 10: Representing Uncertainty
Adam Fleischhacker
Chapter 10: Representing Uncertainty
19:58
Chapter 9: ggplot2 - The Four Stages of Visualization
Adam Fleischhacker
Chapter 9: ggplot2 - The Four Stages of Visualization
17:13
Chapter 8: ggplot2 - Data Visualization Using the Grammar of Graphics
Adam Fleischhacker
Chapter 8: ggplot2 - Data Visualization Using the Grammar of Graphics
14:32
Chapter 1-2: Welcome & Becoming a Data-Driven Business Analyst
Adam Fleischhacker
Chapter 1-2: Welcome & Becoming a Data-Driven Business Analyst
11:34
Chapter 7: dplyr Data Manipulation for Insight
Adam Fleischhacker
Chapter 7: dplyr Data Manipulation for Insight
16:39
Chapter 6: dplyr: Manipulating Data Frames
Adam Fleischhacker
Chapter 6: dplyr: Manipulating Data Frames
11:27
Chapter 5: R Packages
Adam Fleischhacker
Chapter 5: R Packages
6:35
Chapter 4: R and RStudio - Basic Usage
Adam Fleischhacker
Chapter 4: R and RStudio - Basic Usage
15:56
Chapter 3: The Computing Environment (Installing R and Rstudio)
Adam Fleischhacker
Chapter 3: The Computing Environment (Installing R and Rstudio)
7:25
Chapter 24: Compelling Decisions and Actions Under Uncertainty
Adam Fleischhacker
Chapter 24: Compelling Decisions and Actions Under Uncertainty
39:39
Chapter 23: Multi-level Modelling
Adam Fleischhacker
Chapter 23: Multi-level Modelling
19:19
Chapter 22: Linear Predictors and Inverse Link Functions
Adam Fleischhacker
Chapter 22: Linear Predictors and Inverse Link Functions
17:42
Chapter 18: Parameter Estimation of "A Business Analyst's Introduction to Business Analytics
Adam Fleischhacker
Chapter 18: Parameter Estimation of "A Business Analyst's Introduction to Business Analytics
10:15
Chapter 17: The beta Distribution
Adam Fleischhacker
Chapter 17: The beta Distribution
5:50
Chapter 16: causact: Quick Inference With Generative DAGs
Adam Fleischhacker
Chapter 16: causact: Quick Inference With Generative DAGs
17:22
Chapter XX: Probabilistic Statements About Posteriors
Adam Fleischhacker
Chapter XX: Probabilistic Statements About Posteriors
13:48
High-level causact package intro (1-minute)
Adam Fleischhacker
High-level causact package intro (1-minute)
1:03
Chapter 14: Generative DAGs as Prior Joint Distributions
Adam Fleischhacker
Chapter 14: Generative DAGs as Prior Joint Distributions
6:44