C# Machine Learning Projects
Nine real-world projects to build robust and high-performing machine learning models with C#
| Price | $41.63 - $44.99
|
| Rating |  |
| Author | Yoon Hyup Hwang |
| Publisher | Packt Publishing |
| Published | 2018 |
| Pages | 350 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1788996402 |
| ISBN-13 | 9781788996402 |
Machine learning is applied in almost all kinds of real-world surroundings and industries, right from medicine to advertising; from finance to scientifc research. This book will help you learn how to choose a model for your problem, how to evaluate the performance of your models, and how you can use C# to build machine learning models for your future projects.
You will get an overview of the machine learning systems and how you, as a C# and .NET developer, can apply your existing knowledge to the wide gamut of intelligent applications, all through a project-based approach. You will start by setting up your C# environment for machine learning with the required packages, Accord.NET, LiveCharts, and Deedle. We will then take you right from building classifcation models for spam email fltering and applying NLP techniques to Twitter sentiment analysis, to time-series and regression analysis for forecasting foreign exchange rates and house prices, as well as drawing insights on customer segments in e-commerce. You will then build a recommendation model for music genre recommendation and an image recognition model for handwritten digits. Lastly, you will learn how to detect anomalies in network and credit card transaction data for cyber attack and credit card fraud detections.
By the end of this book, you will be putting your skills in practice and implementing your machine learning knowledge in real projects.
- Yoon Hyup Hwang
5 5 2
Similar Books
by Xuanyi Chew
Go is the perfect language for machine learning; it helps to clearly describe complex algorithms, and also helps developers to understand how to run efficient optimized code. This book will teach you how to implement machine learning in Go to make programs that are easy to deploy and code that is not only easy to understand and debug, but...
Price: $37.34 | Publisher: Packt Publishing | Release: 2018
TensorFlow Machine Learning Projects 
by Ankit Jain, Armando Fandango, Amita Kapoor
TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits - simplicity, efficiency, and flexibility - of using TensorFlow in various real-world projects. With the help of this book, you'll not only learn how to build advanced projects using different...
Price: $34.99 | Publisher: Packt Publishing | Release: 2018
Machine Learning on Kubernetes
by Faisal Masood, Ross Brigoli
MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver bus...
Price: $44.99 | Publisher: Packt Publishing | Release: 2022
Python Machine Learning Projects
by Lisa Tagliaferri, Michelle Morales, Ellie Birkbeck, Alvin Wan
As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions - sometimes without final input from humans who may be impacted by these findings - it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the d...
Publisher: DigitalOcean | Release: 2019
Machine Learning Projects for .NET Developers
by Mathias Brandewinder
Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You'll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language...
Price: $49.99 | Publisher: Apress | Release: 2015
Hands-On Machine Learning with C#
by Matt R. Cole
The necessity for machine learning is everywhere, and most production enterprise applications are written in C# using tools such as Visual Studio, SQL Server, and Microsoft Azur2e. Hands-On Machine Learning with C# uniquely blends together an understanding of various machine learning concepts, techniques of machine learning, and various a...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by Jeffrey Jackovich, Ruze Richards
Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are...
Price: $34.99 | Publisher: Packt Publishing | Release: 2018
Building Machine Learning Systems with Python, 2nd Edition
by Luis Pedro Coelho, Willi Richert
Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation. With its excellent collection of open source machine learn...
Price: $39.99 | Publisher: Packt Publishing | Release: 2015