A Guide to Machine Learning (AI) with the Elastic Stack
Tags: elasticsearch, elasticstack, machinelearning, beginners
Published: 2021-08-02 14:34:55

**Summary**

This post is part of a series that covers Artificial Intelligence with a focus on Elastic's (Creators of Elasticsearch) Machine Learning solution, aiming to introduce and exemplify the possibilities and options available, in addition to addressing the context and usability.

**Content**

* [Introduction to Artificial Intelligence and Data Analytics](https://dev.to/priscilla_parodi/introduction-to-artificial-intelligence-and-data-analytics-47b5)
* [Machine Learning - Types of Learning](https://dev.to/priscilla_parodi/machine-learning-types-of-learning-1ace)
* [Elastic Anomaly Detection - Learning Process and Anomaly Score](https://dev.to/priscilla_parodi/elastic-anomaly-detection-learning-process-and-anomaly-score-3nl7) 
* [Elastic Anomaly Detection - Categorization](https://dev.to/priscilla_parodi/elastic-anomaly-detection-categorization-5cdg)
* [Elastic Anomaly Detection and Data Visualizer HandsOn](https://dev.to/priscilla_parodi/elastic-anomaly-detection-and-data-visualizer-handson-3c2j)
* [Elastic Data Frame - Outlier Detection](https://dev.to/priscilla_parodi/elastic-data-frame-outlier-detection-16ni)
* [Elastic Data Frame - Regression Analysis](https://dev.to/priscilla_parodi/elastic-data-frame-regression-analysis-2ge2)
* [Elastic Data Frame - Classification Analysis](https://dev.to/priscilla_parodi/elastic-data-frame-classification-analysis-1b3f)
* [Elastic Data Frame - Classification vs Regression](https://dev.to/priscilla_parodi/elastic-data-frame-classification-vs-regression-4cod)
* [Data preparation for Data Frame Analysis with Transforms](https://dev.to/priscilla_parodi/data-preparation-for-data-frame-analysis-with-transforms-2bp6)
* [Trained Models for Supervised Learning](https://dev.to/priscilla_parodi/trained-models-for-supervised-learning-154n)
* [Inference for Supervised Learning](https://dev.to/priscilla_parodi/inference-for-supervised-learning-66k)
* [Elastic Data Frame - Classification Analysis HandsOn](https://dev.to/priscilla_parodi/elastic-data-frame-classification-analysis-handson-4ilb)
* [Elastic Data Frame - Inference Processor HandsOn](https://dev.to/priscilla_parodi/elastic-data-frame-inference-processor-handson-3392)
* [NLP and Elastic: Getting started](https://dev.to/elastic/natural-language-processing-15fj)
* [NLP HandsOn](https://dev.to/elastic/nlp-handson-4f90)


> [HandsOn Setup - Elastic Cloud](https://dev.to/priscilla_parodi/handson-setup-elastic-cloud-4j8p)
[Resources](https://dev.to/priscilla_parodi/resources-55h4)
> Note: It is recommended to read the posts following the sequence of topics above.


**Learn more!**

* Other blogs:

[Enhancing chatbot capabilities with NLP and vector search in Elasticsearch](https://www.elastic.co/blog/enhancing-chatbot-capabilities-with-nlp-and-vector-search-in-elasticsearch)

[Lexical and Semantic Search with Elasticsearch](https://www.elastic.co/search-labs/blog/articles/lexical-and-semantic-search-with-elasticsearch)

[NLP: Using a Question Answering model to talk to your favorite Christmas song](https://discuss.elastic.co/t/dec-15th-2022-en-nlp-using-a-question-answering-model-to-talk-to-your-favorite-christmas-song/321125)

* Talks:

[Extracting insights from unstructured data: Exploring Vector Search and NLP in Elasticsearch](https://youtu.be/3giyI7vazFU)

[Improving Retrieval Quality For Text Search](https://www.youtube.com/watch?v=9o2J1MhAAfk)