Building machine learning systems using python

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This book covers basic concepts of Machine Learning, various learning paradigms, different architectures and algorithms used in these paradigms.You will learn the power of ML models by exploring different predictive modeling techniques such as Regression, Clustering, and Classification. You will also get hands-on experience on methods and techniques such as Overfitting, Underfitting, Random Forest, Decision Trees, PCA, and Support Vector Machines. In this book real life examples with fully working of Python implementations are discussed in detail.At the end of the book you will learn about the unsupervised learning covering Hierarchical Clustering, K-means Clustering, Dimensionality Reduction, Anomaly detection, Principal Component Analysis.

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Taal: en

Bindwijze: Paperback

Oorspronkelijke releasedatum: 07 april 2021

Aantal pagina's: 134

Ebook Formaat: Adobe ePub

Hoofdauteur: Deepti Chopra

Hoofduitgeverij: Bpb Publications

Lees dit ebook op: Desktop (Mac en Windows)

Lees dit ebook op: Kobo e-reader

Lees dit ebook op: Android (smartphone en tablet)

Lees dit ebook op: iOS (smartphone en tablet)

Lees dit ebook op: Windows (smartphone en tablet)

Product breedte: 150 mm

Product hoogte: 10 mm

Product lengte: 230 mm

Studieboek: Ja

Verpakking breedte: 150 mm

Verpakking hoogte: 10 mm

Verpakking lengte: 230 mm

EAN: 9789389423617

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