Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

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Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

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Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

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139,000₫

Danh mục: Sách ngoại ngữ, Sách Tiếng Anh quyển Lẻ, Sách IT, Sách chuyên ngành
Tình trạng: Còn hàng

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Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions

Sách Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions (sách keo gáy, bìa mềm)

Thể loại:Computers - Artificial Intelligence (AI)

Năm:2022

In lần thứ:1st

Ngôn ngữ:english

Trang:279

Most intermediate-level machine learning books

focus on how to optimize models by increasing accuracy or decreasing

prediction error. But this approach often overlooks the importance of

understanding why and how your ML model makes the predictions that it

does.

Explainability methods provide an essential toolkit for

better understanding model behavior, and this practical guide brings

together best-in-class techniques for model explainability. Experienced

machine learning engineers and data scientists will learn hands-on how

these techniques work so that you'll be able to apply these tools more

easily in your daily workflow.

This essential book provides:

•

A detailed look at some of the most useful and commonly used

explainability techniques, highlighting pros and cons to help you choose

the best tool for your needs

• Tips and best practices for implementing these techniques

• A guide to interacting with explainability and how to avoid common pitfalls

• The knowledge you need to incorporate explainability in your ML workflow to help build more robust ML systems

• Advice about explainable AI techniques, including how to apply techniques to models that consume tabular, image, or text data

• Example

implementation code in Python using well-known explainability libraries

for models built in Keras and TensorFlow 2.0, PyTorch, and HuggingFace

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