Opening book details…
Can I read Mastering .NET Machine Learning : Use Machine Learning in Your .NET Applications on EtoBox?
Mastering .NET Machine Learning : Use Machine Learning in Your .NET Applications by Jamie Dixon is a science book available to read on EtoBox.
What is Mastering .NET Machine Learning : Use Machine Learning in Your .NET Applications about?
Annotation Master the art of machine learning with .NET and gain insight into real-world applicationsAbout This Book Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0 Set up your business application to start using machine learning techniques Familiarize the user with some of the more common .NET libraries for machine learning Implement several common machine learning techniques Evaluate, optimize and adjust machine learning modelsWho This Book Is ForThis book is targeted at .Net developers who want to build complex machine learning systems. Some basic understanding of data science is required.What You Will Learn Write your own machine learning applications and experiments using the latest .NET framework, including .NET Core 1.0 Set up your business application to start using machine learning. Accurately predict the future using regressions. Discover hidden patterns using decision trees. Acquire, prepare, and combine datasets to drive insights. Optimize business throughput using Bayes Classifier. Discover (more) hidden patterns using KNN and Naive Bayes. Discover (even more) hidden patterns using K-Means and PCA. Use Neural Networks to improve business decision m
Who reads Mastering .NET Machine Learning : Use Machine Learning in Your .NET Applications?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jamie Dixon
- Publisher
- Packt Publishing - ebooks Account
- Published
- 2016
- Language
- EN
- ISBN
- 9781785888403
- Category
- science
- Subjects
- Computer Science, Science, Language Learning
- Rating
- 4.3 / 5 (11 ratings)
- Updated
- 2026-03-14
More by Jamie Dixon
Browse all works by Jamie Dixon
Similar books
- Machine Learning Projects for .NET Developers — Mathias Brandewinder (2015)
- Swarm Intelligence and Machine Learning : Applications in Healthcare — Manish Gupta, Jitendra Agrawal, Dac-Nhuong Le, Shikha Agarwal, (2022)
- Machine Learning in Java : Design, Build, and Deploy Your Own Machine Learning Applications by Leveraging Key Java Machine Learning Libraries — Bos̆tjan Kaluz̆a (2016)
- Mastering Machine Learning on AWS — Saket S. R. Mengle (2019)
- Enterprise Application Development with C# 9 and .NET 5 : Enhance Your C# and .NET Skills by Mastering the Process of Developing Professional-grade Web Applications — Ravindra Akella; Arun Kumar Tamirisa; Suneel Kumar Kunani; Bhupesh Guptha Muthiyalu (2021)
- Machine Learning with R : Learn How to Use R to Apply Powerful Machine Learning Methods and Gain an Insight into Real-world Applications — Banksy.; Jaimie D'Cruz; Holly Cushing; Zam Baring; James Gay-Rees; Rhys Ifans; Mister Brainwash.; Debora Guetta; Space Invader.; Monsieur André.; Zeus.; Shepard Fairey; Ron English; Swoon.; Borf.; Buffmonster.; Steve Lazarides; Wendy Asher; Roger Gastman; Laurent Nahoum-Vatinet; Chris King; Tom Fulford; Geoff Barrow; Andrew Palmer; Karolyn Holbon; B.; Melody Howse; Eric Coleman; Raomain Lefebure; Todd Mazer; Jerry Henry; Andy Phipps; Paranoid Pictures Film Company Limited.; Oscilloscope Laboratories (Firm); Producers Distribution Agency (2013)