Building Machine Learning Systems Using Python: Practice to Train Predictive Models and Analyze Machine Learning Results with Real Use-Cases (English Edition)

247 Pages·2021·2.921 MB·English

by  Deepti Chopra

Building
Machine Learning
Systems Using
Python
Practice to Train Predictive
Models and Analyze Machine Learning
Results with Real Use-Cases
Deepti Chopra
www.bpbonline.com
FIRST EDITION 2021
Copyright © BPB Publications, India
ISBN: 978-93-89423-617
All Rights Reserved. No part of this publication may be
reproduced, distributed or transmitted in any form or by any
means or stored in a database or retrieval system, without the
prior written permission of the publisher with the exception to the
program listings which may be entered, stored and executed in a
computer system, but they can not be reproduced by the means
of publication, photocopy, recording, or by any electronic and
mechanical means.
LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY
The information contained in this book is true to correct and the
best of author’s and publisher’s knowledge. The author has made
every effort to ensure the accuracy of these publications, but
publisher cannot be held responsible for any loss or damage
arising from any information in this book.
All trademarks referred to in the book are acknowledged as
properties of their respective owners but BPB Publications cannot
guarantee the accuracy of this information.
Distributors:
BPB PUBLICATIONS
20, Ansari Road, Darya Ganj
New Delhi-110002
Ph: 23254990/23254991
MICRO MEDIA
Shop No. 5, Mahendra Chambers,
150 DN Rd. Next to Capital Cinema,
V.T. (C.S.T.) Station, MUMBAI-400 001
Ph: 22078296/22078297
DECCAN AGENCIES
4-3-329, Bank Street,
Hyderabad-500195
Ph: 24756967/24756400
BPB BOOK CENTRE
376 Old Lajpat Rai Market,
Delhi-110006
Ph: 23861747
Published by Manish Jain for BPB Publications, 20 Ansari Road,
Darya Ganj, New Delhi-110002 and Printed by him at Repro India
Ltd, Mumbai
www.bpbonline.com
Dedicated to
My Family and Friends
Who are always with me to love, support and care.
About the Author
Dr. Deepti Chopra is working as Assistant Professor (IT) at Lal
Bahadur Shastri Institute of Management, Delhi. She has around 7
years of teaching experience. Her area of interest includes Natural
Language Processing, Computational Linguistics and Artificial
Intelligence. She is author of 3 books and has written several
research papers in various International Conferences and Journals.
About the Reviewer
Anmol has 3 years of experience in the software industry. He has
honed his skills in Machine Learning, Deep Learning, build and
maintain ETL/ELT data pipelines and data-driven systems. Some of
the industries Anmol has worked in are Airline, E-Commerce,
Human Resource and HealthCare. His everyday work involves
analysing and solving complex business problems, breaking down
the work into feasible actionable tasks, and collaborating with his
team and project manager to plan and communicate delivery
commitments to our business clients.
When he is not working, Anmol spends most of his time reading,
traveling the world, playing Fifa and catching his favourite
Broadway shows. An admitted sports fanatic, he feeds his
addiction to football by watching Real Madrid games on Sunday
afternoons.
Acknowledgement
I want to thank God most of all, because without God I wouldn’t
be able to do any of this.
I acknowledge with gratitude and sincerely thank all my family and
friends for the blessings and good wishes conveyed to me to
achieve the goal to publish this machine learning based book.
My sincere thanks are due to few friends/TR of this book who
encourages and motivate me every time and proves that they are
always here for me. Such relations are the perfect example of
‘Quality over Quantity’.
This book wouldn’t have happened if I hadn’t had the support
from content editor of BPB Publications. My gratitude goes to the
editorial and publishing professionals of BPB Publications for their
keen interest and support in bringing out this book.
Finally, I would like to thank Mr. Manish Jain at BPB Publications
for giving me this opportunity to write my first book for them.
Preface
With the increase in availability of data from different sources,
there is a growing need of data driven fields such as analytics
and machine learning. This book intends to cover basic concepts
of machine learning, various learning paradigms and different
architectures and algorithms used in these paradigms.
This book is meant for the beginners who want to get knowledge
about machine learning in detail. This book can also be used by
machine learning users for a quick reference for fundamentals in
machine learning.
Following are the chapters covered in this book:
Chapter 1: Introduction to Machine Learning
Description: This chapter covers basic concepts of machine
learning, areas in which ML is performed, input-output functions
Topics to be covered:
What is machine learning?
Utility of ML
Applications of ML