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Machine Learning with Swift

You're reading from  Machine Learning with Swift

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781787121515
Pages 378 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Jojo Moolayil Jojo Moolayil
Profile icon Jojo Moolayil
LinkedIn
Jojo Moolayil is a data scientist, living in Bengaluru—the silicon valley of India. With over 4 years of industrial experience in Decision Science and IoT, he has worked with industry leaders on high impact and critical projects across multiple verticals. He is currently associated with GE, the pioneer and leader in data science for Industrial IoT. Jojo was born and raised in Pune, India and graduated from University of Pune with a major in information technology engineering. With a vision to solve problems at scale, Jojo found solace in decision science and learnt to solve a variety of problems across multiple industry verticals early in his career. He started his career with Mu Sigma Inc., the world's largest pure play analytics provider where he worked with the leaders of many fortune 50 clients. With the passion to solve increasingly complex problems, Jojo touch based with Internet of Things and found deep interest in the very promising area of consumer and industrial IoT. One of the early enthusiasts to venture into IoT analytics, Jojo converged his learnings from decision science to bring the problem solving frameworks and his learnings from data and decision science to IoT. To cement his foundations in industrial IoT and scale the impact of the problem solving experiments, he joined a fast growing IoT Analytics startup called Flutura based in Bangalore and headquartered in the valley. Flutura focuses exclusively on Industrial IoT and specializes in analytics for M2M data. It is with Flutura, where Jojo reinforced his problem solving skills for M2M and Industrial IoT while working for the world's leading manufacturing giant and lighting solutions providers. His quest for solving problems at scale brought the 'product' dimension in him naturally and soon he also ventured into developing data science products and platforms. After a short stint with Flutura, Jojo moved on to work with the leaders of Industrial IoT, that is, G.E. in Bangalore, where he focused on solving decision science problems for Industrial IoT use cases. As a part of his role in GE, Jojo also focuses on developing data science and decision science products and platforms for Industrial IoT.
See other products by Jojo Moolayil
Alexander Sosnovshchenko Alexander Sosnovshchenko
Profile icon Alexander Sosnovshchenko
LinkedIn
Alexander Sosnovshchenko has been working as an iOS software engineer since 2012. Later he made his foray into data science, from the first experiments with mobile machine learning in 2014, to complex deep learning solutions for detecting anomalies in video surveillance data. He lives in Lviv, Ukraine, and has a wife and a daughter.
See other products by Alexander Sosnovshchenko
Oleksandr Baiev Oleksandr Baiev
Profile icon Oleksandr Baiev
LinkedIn
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Table of Contents (18) Chapters

Title Page
Packt Upsell
Contributors
Preface
1. Getting Started with Machine Learning 2. Classification – Decision Tree Learning 3. K-Nearest Neighbors Classifier 4. K-Means Clustering 5. Association Rule Learning 6. Linear Regression and Gradient Descent 7. Linear Classifier and Logistic Regression 8. Neural Networks 9. Convolutional Neural Networks 10. Natural Language Processing 11. Machine Learning Libraries 12. Optimizing Neural Networks for Mobile Devices 13. Best Practices Index

Contributors

About the author

Alexander Sosnovshchenko has been working as an iOS software engineer since 2012. Later he made his foray into data science, from the first experiments with mobile machine learning in 2014, to complex deep learning solutions for detecting anomalies in video surveillance data. He lives in Lviv, Ukraine, and has a wife and a daughter.

Thanks to Dmitrii Vorona for moral support, invaluable advice, and code reviews; Nikolay Sosnovshchenko and Oksana Matskovich for the help with pictures of creatures and androids; David Kopec and Matthijs Hollemans for their open source projects; Mr. Jojo Moolayil for his efforts and expertise as a contributing author and reviewer; and my family for being supportive and patient.

About the reviewers

Jojo Moolayil is an artificial intelligence, deep learning, and machine learning professional with over 5 years of experience and is the author of Smarter Decisions – The Intersection of Internet of Things and Decision Science. He works with GE and lives in Bengaluru, India. He has also been a technical reviewer about various books in machine learning, deep learning, and business analytics with Apress and Packt. 

I would like to thank my family, friends, and mentors.

 

 

 

 

Cecil Costa, also known as Eduardo Campos in Latin American countries, is a Euro-Brazilian freelance developer who has been learning about computers since he got his first PC in 1990. Learning is his passion, and so is teaching; this is why he works as a trainer. He has organized both on-site and online courses for companies. He is also the author of a few Swift books.

I’d like to thank Maximilian Ambergis for creating the delete key; it has been very useful for me!

 

 

 

Packt is searching for authors like you

If you're interested in becoming an author for Packt, please visit authors.packtpub.com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea.

 

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Authors (3)

Left arrow icon
Profile icon Jojo Moolayil
LinkedIn
Jojo Moolayil is a data scientist, living in Bengaluru—the silicon valley of India. With over 4 years of industrial experience in Decision Science and IoT, he has worked with industry leaders on high impact and critical projects across multiple verticals. He is currently associated with GE, the pioneer and leader in data science for Industrial IoT. Jojo was born and raised in Pune, India and graduated from University of Pune with a major in information technology engineering. With a vision to solve problems at scale, Jojo found solace in decision science and learnt to solve a variety of problems across multiple industry verticals early in his career. He started his career with Mu Sigma Inc., the world's largest pure play analytics provider where he worked with the leaders of many fortune 50 clients. With the passion to solve increasingly complex problems, Jojo touch based with Internet of Things and found deep interest in the very promising area of consumer and industrial IoT. One of the early enthusiasts to venture into IoT analytics, Jojo converged his learnings from decision science to bring the problem solving frameworks and his learnings from data and decision science to IoT. To cement his foundations in industrial IoT and scale the impact of the problem solving experiments, he joined a fast growing IoT Analytics startup called Flutura based in Bangalore and headquartered in the valley. Flutura focuses exclusively on Industrial IoT and specializes in analytics for M2M data. It is with Flutura, where Jojo reinforced his problem solving skills for M2M and Industrial IoT while working for the world's leading manufacturing giant and lighting solutions providers. His quest for solving problems at scale brought the 'product' dimension in him naturally and soon he also ventured into developing data science products and platforms. After a short stint with Flutura, Jojo moved on to work with the leaders of Industrial IoT, that is, G.E. in Bangalore, where he focused on solving decision science problems for Industrial IoT use cases. As a part of his role in GE, Jojo also focuses on developing data science and decision science products and platforms for Industrial IoT.
Read more
See other products by Jojo Moolayil
Profile icon Alexander Sosnovshchenko
LinkedIn
Alexander Sosnovshchenko has been working as an iOS software engineer since 2012. Later he made his foray into data science, from the first experiments with mobile machine learning in 2014, to complex deep learning solutions for detecting anomalies in video surveillance data. He lives in Lviv, Ukraine, and has a wife and a daughter.
See other products by Alexander Sosnovshchenko
Profile icon Oleksandr Baiev
LinkedIn
See other products by Oleksandr Baiev
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