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Автор: Poornachandra Sarang
Издательство: Springer
Серия: The Springer Series in Applied Machine Learning
Год: 2023
Страниц: 366
Язык: английский
Формат: pdf (true), epub
Размер: 77.2 MB
This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single "Cheat Sheet". To understand the data, there are several libraries available for data visualization. The most commonly used Python libraries are Matplotlib and Seaborn that can provide a very advanced level of visualization.