Yoon Hyup Hwang - C# Machine Learning Projects: Nine real-world projects to build robust and high-performing machine learning models with C#

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First published: June 2018

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Yoon Hyup Hwang is a seasoned data scientist with several years of experience in marketing and finance industries with expertise in predictive modeling, machine learning, statistical analysis, and data engineering. He holds M.S.E. in Computer and Information Technology from the University of Pennsylvania, and a B.A. in Economics from the University of Chicago.

In his free time, he enjoys training different martial arts (Krav Maga, BJJ, and Muay Thai), snowboarding, and roasting coffee.

Dirk Strauss is a software developer and Microsoft .NET MVP from South Africa with over 13 years of programming experience. He has extensive experience in SYSPRO customization, with C# and web development being his main focus. He currently works for Embrace as a full-stack developer.

He authored C# Programming Cookbook in 2016 and C# 7 and .NET Core 2.0 Blueprints in 2017 (published by Packt). He has also written for Syncfusion, contributing to the Succinctly series of eBooks. He blogs whenever he gets a chance. You can follow him on Twitter at @DirkStrauss.

Prakash Tripathi , is a technical lead in an MNC by profession, and an author and speaker by passion. He has extensive experience in the design, development, maintenance, and support of enterprise applications, mainly using Microsoft technologies and platforms.

Active in technical communities, he has been awarded Most Valuable Professional (MVP) by Microsoft for 2016-17 and 2017-18, and by c-sharpcorner (a leading developers portal) three times. He holds a master's in computer applications from MANIT-Bhopal, India.

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In the era of data, it is hard to overlook the importance of machine learning (ML) and data science. ML has been used and adopted widely across many industries, and its adoption rate is growing faster than ever. Not only big technology companies, such as Google, Microsoft, and Apple, but also many non-technology companies such as Bloomberg and Goldman Sachs, invest heavily in ML. From searching for what to eat for dinner tonight on search engines to getting approvals for new credit cards, the applications of ML are everywhere in our daily lives. As a fellow data scientist and ML practitioner, I cannot emphasize enough the importance of ML in the current era of data, especially of big data.

If you are looking for resources to learn applied ML, you have come to the right place. For many aspiring data scientists and ML practitioners, the amount of resources for applied ML in C# is lacking in the ML books out there. You can easily find books that have detailed explanations on the theory behind ML. You can also easily find books that touch the practical aspects of ML in different programming languages, such as Python. However, as you might have noticed, there are not many books that cover how to build practical ML models and applications using C#.