# Explainable AI

![](/files/-McM0PC__NkssemDpmjn)

**A practical guide for using different Explainable AI techniques and Tools**

## **Author:**

### **Abhishek Gargha Maheshwarappa** <br>

" *Hey, I like working on Data Science problems that can add value to the business. My interest lies in DeepLearning Reinforcement Learning and Explainable AI. Open to connect anytime if you want to talk*."

Open to connect at - [LinkedIn](https://www.linkedin.com/in/abhishek-g-m/)\
Read more about me - [Website ](https://abhi-gm.netlify.app/)

**Kartik Kumar** &#x20;

**"** *likes to solve business problems using data science and cloud technologies. Currently, works as a Data engineer to design end to end solutions for such problems on GCP* "

Open to connect at - [LinkedIn](https://www.linkedin.com/in/hellokartik/)<br>

**Mentor:**

**Nicholas Brown** (Assistant Teaching Professor,  Multidisciplinary Graduate Engineering Programs, Northeastern University)  [LinkedIn](https://www.linkedin.com/in/nikbearbrown/)

[ ](https://www.linkedin.com/in/nikbearbrown/)

![](/files/-MEk4xYeck-cufd4x5dG)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://maheshwarappa-a.gitbook.io/explainable-ai-1/master.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.