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Add Introduction to ML and NNs with DeepPumas #13

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Jan 16, 2024
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Add Introduction to ML and NNs with DeepPumas #13

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4 changes: 2 additions & 2 deletions docs/index.md
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Expand Up @@ -17,6 +17,7 @@ description: Workshops templates for Pumas-AI PKPD workflows.
| Discrete Modeling | Time to Event | [:material-window-maximize:](https://pumasai-labs.github.io/Time-to-Event/) | [:material-github:](https://github.com/PumasAI-Labs/Time-to-Event) | [:material-eye-outline:](https://pumasai-labs.github.io/Time-to-Event/reference/) | [:material-plus-circle:](https://pumasai-labs.github.io/Time-to-Event/instructors/) |
| Data Wrangling and Visualization | Data I/O and `DataFramesMeta` | [:material-window-maximize:](https://pumasai-labs.github.io/Data-Wrangling/) | [:material-github:](https://github.com/PumasAI-Labs/Data-Wrangling) | [:material-eye-outline:](https://pumasai-labs.github.io/Data-Wrangling/reference/) | [:material-plus-circle:](https://pumasai-labs.github.io/Data-Wrangling/instructors/) |
| Data Wrangling and Visualization | Visualizations with `AlgebraOfGraphics` | [:material-window-maximize:](https://pumasai-labs.github.io/Data-Visualization/) | [:material-github:](https://github.com/PumasAI-Labs/Data-Visualization) | [:material-eye-outline:](https://pumasai-labs.github.io/Data-Visualization/reference/) | [:material-plus-circle:](https://pumasai-labs.github.io/Data-Visualization/instructors/) |
| DeepPumas | Introduction to Machine Learning and Neural Networks | [:material-window-maximize:](https://pumasai-labs.github.io/MachineLearning-and-NeuralNetworks/) | [:material-github:](https://github.com/PumasAI-Labs/MachineLearning-and-NeuralNetworks) | [:material-eye-outline:](https://pumasai-labs.github.io/MachineLearning-and-NeuralNetworks/reference/) | [:material-plus-circle:](https://pumasai-labs.github.io/MachineLearning-and-NeuralNetworks/instructors/) |
<!--

NOTE: all workshops of the following workshops used to be placed below "Covariates, Dose Control Parameters and PKPD Indirect Response models"
Expand All @@ -32,7 +33,6 @@ NOTE: "Time to Event" used to be placed here
| Bayesian | Introduction to the Bayesian Workflow | [:material-window-maximize:](PLACEHOLDER) | [:material-github:](PLACEHOLDER) | [:material-eye-outline:](PLACEHOLDER) | [:material-plus-circle:](PLACEHOLDER) |
| Bayesian | Markov Chain Monte Carlo (MCMC) | [:material-window-maximize:](PLACEHOLDER) | [:material-github:](PLACEHOLDER) | [:material-eye-outline:](PLACEHOLDER) | [:material-plus-circle:](PLACEHOLDER) |
| Bayesian | Model Comparison | [:material-window-maximize:](PLACEHOLDER) | [:material-github:](PLACEHOLDER) | [:material-eye-outline:](PLACEHOLDER) | [:material-plus-circle:](PLACEHOLDER) |
| `DeepPumas` | Introduction to `DeepPumas` | [:material-window-maximize:](PLACEHOLDER) | [:material-github:](PLACEHOLDER) | [:material-eye-outline:](PLACEHOLDER) | [:material-plus-circle:](PLACEHOLDER) |
| Simulation | Simulation and Decision Making using Pumas | [:material-window-maximize:](PLACEHOLDER) | [:material-github:](PLACEHOLDER) | [:material-eye-outline:](PLACEHOLDER) | [:material-plus-circle:](PLACEHOLDER) |
-->

Expand All @@ -54,7 +54,7 @@ graph TB
%% N1 --> B1[Introduction\nto the\nBayesian\nWorkflow];
%% B1 --> B2[Markov Chain\nMonte Carlo];
%% B2 --> B3[Model\nComparison];
%% N1 ----> DP1[Introduction\nto DeepPumas];
N1 ----> DP1[Introduction to \n Machine Learning and \n Neural Networks];
J2 --> DA1[Data I/O\nand DataFramesMeta];
J2 --> DA2[Visualizations\nwith\nAlgebraOfGraphics];
%% N2 & J3 ----> S1[Simulation\nand Decision\nMaking\nusing Pumas];
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