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Numerical Machine Learning free ebook download

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Mathematics

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Catalogue

Author(s):	Zhiyuan Wang, Sayed Irfan, Christopher Teoh

Date:	2023	Format:	pdf	Language:	English	ISBN/ASIN:	9815136992
Pages:	268	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	4/8/2024 7:11:48 AM

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9815136992 pdf
Numerical Machine Learning is a simple textbook on machine learning that bridges the gap between mathematics theory and practice. The book uses numerical examples with small datasets and simple Python codes to provide a complete walkthrough of the underlying mathematical steps of seven commonly used machine learning algorithms and techniques, including linear regression, regularization, logistic regression, decision trees, gradient boosting, Support Vector Machine, and K-means Clustering.

Through a step-by-step exploration of concrete numerical examples, the students (primarily undergraduate and graduate students studying machine learning) can develop a well-rounded understanding of these algorithms, gain an in-depth knowledge of how the mathematics relates to the implementation and performance of the algorithms, and be better equipped to apply them to practical problems.

Key features

-Provides a concise introduction to numerical concepts in machine learning in simple terms

-Explains the 7 basic mathematical techniques used in machine learning problems, with over 60 illustrations and tables

-Focuses on numerical examples while using small datasets for easy learning

-Includes simple Python codes

-Includes bibliographic references for advanced reading

The text is essential for college and university-level students who are required to understand the fundamentals of machine learning in their courses.

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3253256	Book	https://nitroflare.com/view/6A00528291CD...		19.00	eternal

Tags: Learning Machine Numerical

Title	Link	Password	Size	Reason

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Numerical Machine Learning free ebook download

Category: Mathematics

Description: Click to see full description

Category:
Mathematics