Update mlpaths.md

Author: clizarraga-UAD7

docs/mlpaths.md

@@ -3,11 +3,20 @@
 
 We present 12 topics in the data science learning path, providing learning objectives, related skills, subtopics, and references/resources for each. The goal is to give graduate students a structured and comprehensive program to acquire data science expertise, including hands-on experience with real-world open-source tools and libraries.
 
-```mermaid
-flowchart TB
+```
    eth["`**Ethics**`"] --> ds
    ds --> stats["`**Statistics**`"]
    eth --> stats
+   C --> cdci["`**Model Deployment and Productionization**`"]
+   D --> cdci
+   ds --> cdci
+   eth --> C
+   eth --> D
+```
+
+
+```mermaid
+flowchart TB
    subgraph ds ["`**General Data Science**`"]
    introds["`**Intro to Data Science and Machine Learning**`"] --> pyds["`**Python for Data Science**`"]
    end
@@ -17,11 +26,6 @@ flowchart TB
    subgraph D ["`**Deep Learning**`"]
    introdl["`**Intro to Deep Learning**`"] --> RNN["`**Recurrent Neural Networks and Sequence Models**`"] --> Gen["`**Generative Models**`"]  --> TL["`**Transfer Learning and Fine Tuning**`"]
    end
-   C --> cdci["`**Model Deployment and Productionization**`"]
-   D --> cdci
-   ds --> cdci
-   eth --> C
-   eth --> D
 
 ```