Solutions to data science problems
Abstract
This chapter presents a review of statistical and machine learning models to tackle data science problems, arguably the most popular approaches. Both supervised and unsupervised algorithms are described along with practical considerations when using these methods. Empirical results on exemplar datasets are also presented where applicable to illustrate the application of these methods to real-world problems.
Publication Title
Dimensionality Reduction in Data Science
Recommended Citation
Venugopal, D., Deng, L., & Garzon, M. (2022). Solutions to data science problems. Dimensionality Reduction in Data Science, 29-65. https://doi.org/10.1007/978-3-031-05371-9_2
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