Machine Learning with MLNET

Machine Learning with MLNET

with Microsoft NET and Pranav Rastogi
Electronic Video - 2021

This course introduces you to the concepts of machine learning, what you can do with it, and how to get started with ML.NET.

محفوظ في:

Holdings -

التفاصيل البيبلوغرافية
مؤلف مشترك: linkedin.com (Firm)
مؤلفون آخرون: .NET, Microsoft (المتحدث), Rastogi, Pranav (المتحدث)
التنسيق: الكتروني الفيديو
اللغة:English
منشور في: Carpenteria, CA linkedin.com, 2021.
الموضوعات:
الوصول للمادة أونلاين:View course details on linkedin.com/learning

MARC

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050 4 |a LDC2874220 
100 1 |a .NET, Microsoft  |e speaker. 
245 1 0 |a Machine Learning with ML.NET.  |c with Microsoft .NET and Pranav Rastogi 
264 1 |a Carpenteria, CA  |b linkedin.com,  |c 2021. 
306 |a 01h:06m:29s 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
500 |a 1/21/202112:00:00AM 
520 |a This course introduces you to the concepts of machine learning, what you can do with it, and how to get started with ML.NET. 
511 1 |a Presenter: Microsoft .NET 
520 |a Welcome to Machine Learning with ML.NET. In this course, instructor Pranav Rastogi guides you through the concepts of machine learning, what you can build with these concepts, and how to get started. First, Pranav explains what ML.NET is and what you can do with the framework. He covers how to build a ML model for sentiment analysis of customer reviews and explains how to classify incoming GitHub issues into one of the many tags (labels) using a multiclass classification algorithm. Pranav shows you how to recommend movies for users using collaborative filtering-based recommendation approach. He concludes by discussing how deep learning enables many more scenarios, using sound, images, text and other data types. This course was created by Microsoft.NET. We are pleased to host this training in our library. 
538 |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. 
655 4 |a Instructional films.  |2 lcgft 
655 4 |a Educational films.  |2 lcgft 
700 |a Rastogi, Pranav  |e speaker. 
710 2 |a linkedin.com (Firm) 
856 4 0 |u https://www.linkedin.com/learning/machine-learning-with-ml-dot-net?u=95224889&auth=true  |z View course details on linkedin.com/learning 
092 |a ONLINE CLASS