Interpretable AI Building explainable machine learning systems

Interpretable AI Building explainable machine learning systems

English | 2022 | ISBN: 161729764X | 594 pages | True EPUB, MOBI | 29.18 MB
AI doesn’t have to be a black box. These practical techniques help shine a light on your model’s mysterious inner workings. Make your AI more transparent, and you’ll improve trust in your results, combat data leakage and bias, and ensure compliance with legal requirements.

      



Author: AliensFaith
HighTech FinTech researcher, university lecturer & Scholar. He is studying his second doctoral degree at the Hague International University. Studying different fields of Sciences gave him a broad understanding of various aspects of life. His recent researches covered AI, Machine-learning & Automation concepts. The Information Technology Skills & Knowledge gave his company a higher position over other regional high-tech consultancy services. The other qualities and activities which can describe him are a Hobbyist Programmer, Achiever, Strategic Thinker, Futuristic person, and Frequent Traveler.
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