[ FreeCourseWeb.com ] Hands-On Machine Learning for .NET Developers
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Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48kHz, 2ch | Duration: 2h 47m
Genre: eLearning | Language: English | Size: 1.65 GB
Use machine learning today without a machine learning background
Key Features
Quickly get up and running using state-of-the-art machine learning algorithms in your .Net applications
Implement machine learning algorithms using real-world data sets, without first learning math
Leverage state-of-the-art (TensorFlow, ONNX) models, pre-trained by the tech giants, in your own .Net code
What You Will Learn
Quickly implement machine learning algorithms directly within your current cross-platform .Net applications, such as ASP.Net Web.APIs, desktop applications, and Dotnet core console apps
Use the advances in machine learning with models customized to your needs
Automatically evaluate different machine learning models fast using AutoML, Model Builder, and CLI tools
Improve and retrain your models for better performance and accuracy
Basic overview of machine learning through a hands-on approach
Use different machine learning algorithms to solve problems such as sentiment prediction, document classification, image recognition, product recommender systems, price predictions, and Bitcoin price forecasting
Data loading and preparation for model training
Leverage state of the art TensorFlow and ONNX models directly in .NET
About
ML.NET enables developers utilize their .NET skills to easily integrate machine learning into virtually any .NET application. This course will teach you how to implement machine learning and build models using Microsoft's new Machine Learning library, ML.NET. You will learn how to leverage the library effectively to build and integrate machine learning into your .NET applications.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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