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Can I read Machine Learning for Beginners: Build and deploy Machine Learning systems using Python, 2nd Edition on EtoBox?

Machine Learning for Beginners: Build and deploy Machine Learning systems using Python, 2nd Edition by Dr. Harsh Bhasin is a nonfiction available to read on EtoBox.

What is Machine Learning for Beginners: Build and deploy Machine Learning systems using Python, 2nd Edition about?

Learn how to build a complete machine learning pipeline by mastering feature extraction, feature selection, and algorithm training KEY FEATURES ● Develop a solid understanding of foundational principles in machine learning. ● Master regression and classification methods for accurate data prediction and categorization in machine learning. ● Dive into advanced machine learning topics, including unsupervised learning and deep learning. DESCRIPTION The second edition of “Machine Learning for Beginners” addresses key concepts and subjects in machine learning. The book begins with an introduction to the foundational principles of machine learning, followed by a discussion of data preprocessing. It then delves into feature extraction and feature selection, providing comprehensive coverage of various techniques such as the Fourier transform, short-time Fourier transform, and local binary patterns. Moving on, the book discusses principal component analysis and linear discriminant analysis. Next, the book covers the topics of model representation, training, testing, and cross-validation. It emphasizes regression and classification, explaining and implementing methods such as gradient descent

Who reads Machine Learning for Beginners: Build and deploy Machine Learning systems using Python, 2nd Edition?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Dr. Harsh Bhasin
Publisher
BPB Publications
Published
2023
Language
EN
ISBN
9789355515636
Category
nonfiction
Subjects
Computer Science, Science, Artificial Intelligence (Ai)

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