Google Cloud Platform: BigQuery Explainable AI for Model Insights

# Google Cloud Platform: BigQuery Explainable AI

This document details the capabilities of Explainable AI (XAI) within Google Cloud's BigQuery ML, focusing on how it enhances the interpretability and trustworthiness of machine learning (ML) models.

## The Challenge of Complex ML Models

As machine learning models become more powerful and widely adopted across industries, they often increase in complexity. This complexity, while leading to better predictive accuracy, can diminish the model's interpretability. Users may struggle to understand how a model arrives at its predictions, leading to a lack of trust and difficulty in verifying its behavior or identifying potential biases.

## Introducing Explainable AI (XAI)

Explainable AI (XAI) is a field dedicated to developing interpretable ML models. Its goal is to make AI systems more transparent, allowing users to understand the reasoning behind their outputs.

## BigQuery ML's Explainable AI Functions

Google Cloud's BigQuery ML offers two key functions to facilitate XAI:

### 1. Global Perspective on Feature Attribution

This function provides an overview of how different features were used to train the overall ML model. It helps in understanding which factors have the most significant impact on the model's general behavior and predictions.

### 2. Local Perspective on Feature Attribution

This function delves into the feature attribution for individual predictions. It helps users understand why a specific prediction was made for a particular data instance, offering granular insights into the model's decision-making process.

## Case Study: Realtor's Linear Regression Model

The document uses a fictional example of a realtor's linear regression model to illustrate these concepts. This model predicts a home's sale price based on various predictor variables, such as:

*   Total tax assessment
*   Square footage of the house
*   Number of bedrooms
*   Number of bathrooms
*   Home condition (e.g., below average)

By applying BigQuery ML's XAI functions, users can analyze the feature attribution from both global and local perspectives, gaining a deeper understanding of the model's predictions.

## Product Information

*   **Product Name**: Google Cloud Platform: BigQuery Explainable AI
*   **Product #**: UV8463
*   **Pages**: 10
*   **Publication Date**: March 30, 2022
*   **Source**: Darden School of Business
*   **MSRP**: $8.95 (USD)

## Available Formats and Languages

The product is available in various formats, including PDF, Audio MP3, Audio M4A, Audio CDROM, Audio Cassette, Bundle, DVD, Event Live Conference, Event Virtual Conference, Word Document, Electronic Book, Enhanced Electronic Book, ePub, Financial, Ebook, Hardcover/Hardcopy, Hardcover/Hardcopy (Color), Hardcover/Hardcopy (B&W), Web Based HTML, Kit, License, Magazine, Mobi, Multimedia CDROM, Multimedia Windows Media, Paperback Book, Powerpoint, Paperback/Softbound, Paperback/Softbound (Color), Paperback/Softbound (B&W), Registration Fee, Short Run, Subscription, Service, Video CDROM, Video DVD, Video Flash, Video VHS (NTSC), Video VHS (PAL), Video Real Player, Microsoft Excel Spreadsheet, XML, and Zip File.

It is also available in multiple languages: English, Spanish, Chinese, Danish, French, German, Japanese, Portuguese, Polish, Russian, Slovak, and Traditional Chinese.

## Copyright Permissions and Team Orders

Copyrighted PDFs are for individual use only. To share with a team, additional copies must be purchased. Quantity pricing is available for bulk orders:

| # of Copies | Price   |
| :---------- |
| 1-4         | List Price |
| 5-10        | $8.75   |
| 11-49       | $8.50   |
| 50-499      | $8.25   |
| 500+        | $8.00   |

## Related Products

The document also lists related products:

*   Google Cloud Platform: BigQuery (UV8459)
*   Google Cloud Platform: BigQuery ML (UV8462)
*   Google Cloud Platform: Cloud Storage (UV8461)

## Educator Information

Educators can register as Premium Educators at hbsp.harvard.edu to plan courses and offer students discounts.

## Conclusion

BigQuery ML's Explainable AI features provide crucial tools for understanding and trusting complex machine learning models, enabling better decision-making and bias detection.