Titlebook: Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning; Uday Kamath,John Liu Book 2021 The Editor(s) (if a

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Explainability in Time Series Forecasting, Natural Language Processing, and Computer Vision, recent years. This chapter will discuss the research and applications of the interpretable and explainable algorithms in this domain. We will start with a time series algorithm survey, starting from traditional interpretable statistical models to modern deep learning algorithms. Next, we discuss NL

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Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

Induction

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning978-3-030-83356-5

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Exploratory Classification of Time-Series, data analysis on unstructured data such as text needs special handling as compared to structured data. This will entail a discussion on some of the well-known EDA techniques common to many NLP tasks. We will then discuss some of the feature engineering techniques that help us get more insights for

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