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Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics and Computing) free ebook download

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Author(s):	Giovanni Cerulli

Date:	2024	Format:	pdf	Language:	English	ISBN/ASIN:	3031413369
Pages:	420	OCR:		Quality:		ISBN13:
Uploader:	stirkout	Upload Date:	11/28/2023 12:31:01 AM

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This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness of the availability of machine learning methods over different software platforms.
After introducing the machine learning basics, the focus turns to a broad spectrum of topics: model selection and regularization, discriminant analysis, nearest neighbors, support vector machines, tree modeling, artificial neural networks, deep learning, and sentiment analysis. Each chapter is self-contained and comprises an initial theoretical part, where the basics of the methodologies are explained, followed by an applicative part, where the methods are applied to real-world datasets. Numerous examples are included and, for ease of reproducibility, the Python, R, and Stata codes used in the text, along with the related datasets, are available online.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3211601	Book	https://nitroflare.com/view/F1CAEFA35F08...		0.00	stirkout

Tags: Applications Computing Fundamentals Learning Machine Python Stata Statistics Supervised

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Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics and Computing) free ebook download

Category: Statistics

Description: Click to see full description

Category:
Statistics