Bhatia Samir - Machine learning solutions: expert techniques to tackle complex machine learning problems using Python
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- Book:Machine learning solutions: expert techniques to tackle complex machine learning problems using Python
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Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started.
Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning
Set up and manage machine learning projects end-to-end
Build an anomaly detection system to catch credit card fraud
Clusters users into distinct and homogeneous groups
Perform semisupervised learning
Develop movie recommender systems using restricted Boltzmann machines
Generate synthetic images using generative adversarial networks
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Copyright 2018 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Commissioning Editor: Sunith Shetty
Acquisition Editor: Aman Singh
Content Development Editors: Snehal Kolte
Technical Editor: Danish Shaikh
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Indexers: Pratik Shirodkar
Graphics: Tania Dutta
Production Coordinator: Arvindkumar Gupta
First published: April 2018
Production reference: 1250418
Published by Packt Publishing Ltd.
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ISBN 978-1-78839-004-0
www.packtpub.com
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With the blessings of God, and all my love for Shetul, parents, and in-laws
I have known Jalaj Thanaki for more than 1 year. Jalaj comes across as a passionate techno-analytical expert who has the rigor one requires to achieve excellence. Her points of view on big data analytics, NLP, machine learning, and AI are well informed and carry her own analysis and appreciation of the landscape of problems and solutions. I'm glad to be writing this foreword in my capacity as the CEO and MD of SMEcorner.
Machine Learning solutions are rapidly changing the world and the way we do business, be it retail, banking, financial services, publication, pharmaceutical, or manufacturing industry. Data of all forms is growing exponentiallyquantitative, qualitative, structured, unstructured, speech, video, and so on. It is imperative to make use of this data to leverage all functions, avoid risk and frauds, enhance customer experience, increase revenues, and streamline operations.
Organizations are moving fast to embrace data science and investing largely to build high-end data science teams. Having spent more than 30 years in the finance domain as a leader and managing director of various organizations such as Barclays Bank, Equifax, Hinduja Leyland, and SMECorner, I get overwhelmed with the transition that the financial industry has seen in embracing machine learning solutions as a business and no longer as a support function.
In this book, Jalaj takes us through an exciting and insightful journey to develop the best possible machine learning solutions for data science applications. With all the practical examples covered and with solid explanations, in my opinion, this is one of the best practical books for readers who want to become proficient in machine learning and deep learning.
Wishing Jalaj and this book a roaring success, which they deserve.
Samir Bhatia
MD/CEO and Founder of SMECorner
Mumbai, India
Jalaj is an experienced data scientist with a demonstrated history of working in the information technology, publishing, and finance industries. She is author of the book "Python Natural Language Processing".
Her research interest lies in Natural Language Processing, Machine Learning, Deep Learning, and Big Data Analytics. Besides being a data scientist, Jalaj is also a social activist, traveler, and nature-lover.
I would like to dedicate this book to my husband, Shetul, for his constant support and encouragement. I give deep thanks and gratitude to my parents and my in-laws who help me at every stage of my life. I would like to thank my reviewers for providing valuable suggestions towards the improvement of this book.
Thank you, God, for being kind to me...!
Niclas has been using computers for fun and profit since he got his first computer (a C64) at age four. After a prolonged period of combining a start-up with university studies, he graduated from bo Akademi University with an M.Sc. in Computer Engineering in 2015.
His hobbies include long walks, lifting heavy metal objects at the gym and spending quality time with his wife and daughter.
Niclas currently works at Walkbase - a company he founded together with some of his class mates from university. At Walkbase, he leads the engineering team, building the next generation of retail analytics.
Mayur Narkhede has good blend of experience in Data Science and Industry domain. He is researcher with educational qualification of B.Tech in Computer Science and M.Tech. in CSE with Artificial Intelligence specialization.
Data Scientist with core experience in building automated end to end solutions, Proficient at applying technology, AI, ML, Data Mining and Design thinking for better understanding and prediction in improving business functions and desired requirements with growth profitability.
He has worked on multiple advanced solutions such as ML and Predictive model development for Oil and Gas, Financial Services, Road Traffic and Transport, Life Science and Big Data platform for asset intensive industries.
Shetul Thanaki has a bachelor degree in computer engineering from Sardar vallabhbhai patel University,Gujarat. He has 10 years of experience in IT industries. He is currently working with investment bank and provides IT solutions to its global market applications.
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