Interperetable AI

Interpretable AI is a practical guide to interpretability techniques that simplify cutting-edge research into transparent and explainable AI, delivering practical methods you can easily implement with Python and opensource libraries. It helps identify the patterns learned by deep learning models and presents best practices for building fair and unbiased models.

Format: Paperback / softback
Length: 275 pages
Publication date: 05 July 2022
Publisher: Manning Publications

AI models can become incredibly complex, even challenging for experts to comprehend and explain to business stakeholders. This complexity can make it difficult to understand the nuances of novel algorithms and their implications for businesses.

InterpretableAI is a comprehensive resource that aims to enhance your understanding of AI models and their functioning. It provides cutting-edge techniques and practical guidance to help you interpret the black box of AI and make sense of its output.

InterpretableAI is a hands-on guide that simplifies the complex research into transparent and explainable AI. It offers practical methods that can be easily implemented using Python and open-source libraries. The book demonstrates why some AI approaches are opaque and provides insights into how models learn and make predictions. It also offers best practices for building fair and unbiased models.

Deep learning models, in particular, can be enigmatic, making it difficult for their creators to understand their results. These black boxes can conceal hidden issues such as data leakage, the replication of human bias, and compliance challenges with legal requirements like the EU's right to explanation.

However, state-of-the-art interpretability techniques have been developed to unravel the complexities of deep learning models. These techniques enable humans to follow the methods of AI and better detect when it makes mistakes. By understanding the inner workings of AI models, businesses can gain confidence in their decisions and make informed decisions based on reliable data.

InterpretableAI is a valuable resource for anyone working with AI, including data scientists, machine learning engineers, business analysts, and decision-makers. It provides a comprehensive understanding of interpretability techniques and their applications, enabling you to leverage AI's potential while ensuring transparency and accountability.

In conclusion, AI models can be complex, making it challenging for experts to comprehend and explain their nuances to business stakeholders. InterpretableAI offers cutting-edge techniques and practical guidance to enhance your understanding of AI models and their functioning. By leveraging interpretability techniques, businesses can gain confidence in their AI decisions, make informed decisions based on reliable data, and ensure transparency and accountability in their AI practices.

Weight: 606g
Dimension: 188 x 235 x 21 (mm)
ISBN-13: 9781617297649