Machine Learning With Python: An Approach to Applied Machine Learning

By:

Vijayvargia, Abhishek

Material type: Text

TextLanguage: English Publication details: New Delhi : Bpb Publications, 2018Description: 257ISBN:

9789386551931

Subject(s):

DDC classification:

005.133 (PYT) VIJ

Summary: This book provides concept of machine learning with mathematical explanation and programming examples. Every chapter starts with fundamentals of the technique and working example on real world dataset. Along with the advice on applying algorithms, each technique is provided with advantages and disadvantages on the data. In this book we provide code examples in python. Python is the most suitable and worldwide accepted language for this. First, it is free and open source. It contains very good support from open community. It contains a lot of library, so you don’t need to code everything. Also, it is scalable for large amount of data and suitable for big data technologies.

List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science | New Arrivals for the Month of August - 2023 | New Arrivals for the Month of December - 2023

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Book	Alliance College of Engineering and Design	CSE & IT	005.133 (PYT) VIJ (Browse shelf(Opens below))	Available	E13538
Book	Alliance College of Engineering and Design	CSE & IT	005.133 (PYT) VIJ (Browse shelf(Opens below))	Available	E13539
Reference Book	Alliance College of Engineering and Design	CSE & IT	005.133 (PYT) VIJ (Browse shelf(Opens below))	Not for loan	E13535
Book	Alliance College of Engineering and Design	CSE & IT	005.133 (PYT) VIJ (Browse shelf(Opens below))	Available	E13537
Book	Alliance College of Engineering and Design	CSE & IT	005.133 (PYT) VIJ (Browse shelf(Opens below))	Available	E13536
Book	Alliance College of Engineering and Design	CSE & IT	005.133 (PYT) VIJ (Browse shelf(Opens below))	Available	E11955
Book	Alliance School of Liberal Arts	CSE & IT	005.133 (PYT) VIJ (Browse shelf(Opens below))	Available	LA01393

Total holds: 0

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Previous	005.133 (C#) KAN Let Us C#	005.133 (PYT) KAT Hands-on Data Analysis and Visualization with Pandas	005.133 (PYT) LAM Fundamentals of Python: First Programs	005.133 (PYT) VIJ Machine Learning With Python: An Approach to Applied Machine Learning	005.133 (R) LAN R for Everyone: Advanced Analytics and Graphics	005.6 DOM Cloud Native DevOps with Kubernetes: Building Deploying and Scaling Modern Applications in the Cloud	005.8 GOD Cyber Security: Understanding Cyber Crimes Computer Forensics and Legal Perspectives	Next

This book provides concept of machine learning with mathematical explanation and programming examples. Every chapter starts with fundamentals of the technique and working example on real world dataset. Along with the advice on applying algorithms, each technique is provided with advantages and disadvantages on the data.
In this book we provide code examples in python. Python is the most suitable and worldwide accepted language for this. First, it is free and open source. It contains very good support from open community. It contains a lot of library, so you don’t need to code everything. Also, it is scalable for large amount of data and suitable for big data technologies.

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