TSML Primer: Improve guidance on index page

Add link to primer on "Advanced Time Series Analysis" page.

Author: amotl

docs/domain/timeseries/advanced.md

@@ -20,6 +20,7 @@ with CrateDB.
 </style>
 
 
+
 (timeseries-anomaly-forecasting)=
 ## Anomaly Detection and Forecasting
 
@@ -80,6 +81,14 @@ to train various timeseries forecasting models.
 ::::
 
 
+:::{tip}
+The primer about [](#tsml-primer) will introduce you to the concept of time
+series modeling, experiment tracking, and corresponding ML Ops paradigms,
+which you can use to apply machine learning procedures to your time series
+data.
+:::
+
+
 (timeseries-decomposition)=
 ## Decomposition
 

docs/domain/timeseries/ml-primer/index.md

@@ -1,15 +1,33 @@
 (timeseries-ml-primer)=
 (tsml-primer)=
 
-# Machine Learning for Time Series Data Primer
+# Machine Learning for Time Series Data
 
-Learn how to apply machine learning procedures to time series data.
+A primer about how to apply machine learning procedures to time series data.
+
+
+## Time Series Modeling
+
+This section will introduce you to the concept of time series modeling, and
+discusses the main obstacles usually faced with during its implementation in
+production.
 
 ```{toctree}
 :maxdepth: 2
 
 introduction
 anomaly-detection
+```
+
+
+## MLOps
+
+MLOps / ML Ops is a paradigm that aims to deploy and maintain machine learning
+models in production reliably and efficiently, including experiment tracking.
+
+```{toctree}
+:maxdepth: 2
+
 mlops-intro
 mlops-cratedb-mlflow
 mlops-cratedb-sql