- Artykuły z tagiem machine learning

I will introduce you to how you can design a neural network in C# using TensorFlow.NET.

Designing neural networks in C# using TensorFlow.NET | bush_dev

Inne 30 dni, 17 godzin, 29 minut temu bush_dev 83 źrodło rozwiń

Transfer Learning is a popular tool in the field of Deep Learning. It is used to reuse a previously created model for a new problem. Thanks to that you can train neural networks with little data, which significantly saves time and memory resources required. This type of algorithm is also available in the ML.NET library. I want to show you its use on the example of Image Classification using a pre-trained TensorFlow model.

Dziel się z innymi:
Transfer Learning for Image Classification using ML.NET

Inne 168 dni, 15 godzin, 37 minut temu bush_dev 26 źrodło rozwiń

I wrote there about what this type of regression is and showed how it can be implemented in F # using the ML.NET library.

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Poisson Regression using F# and ML.NET | bush_dev

Inne 447 dni, 3 godziny, 8 minut temu bush_dev 15 źrodło rozwiń

Today I will introduce you to the main problems and challenges of machine learning.

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Main problems and challenges of machine learning – bush_dev

Inne 486 dni, 15 godzin, 49 minut temu bush_dev 40 źrodło rozwiń

In the previous articles, we explored how we can use Microsoft’s new framework for machine learning – ML.NET. We used different datasets for different purposes and explored how to solve real-world problems. First, we used the Iris dataset to explore machine learning concepts and get up to speed with this field in general. This dataset is sort of Hello World example, but we wanted to learn how to deal with more ...

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[EN] Machine Learning in ML.NET – Using Machine Learning Model in ASP.NET Core Application | Rubik's Code

Inne 1079 dni, 16 godzin, 58 minut temu Piotr Stapp 55 źrodło rozwiń

In the first article of machine learning in ML.NET saga, we explored basics of machine learning and we got our first look at Microsoft’s framework for this purpose. There we mentioned that machine learning addresses two kinds of problems: regression and classification. We used Iris classification dataset, which is sort of a Hello World! example in the machine learning world, in order to get familiar with the concepts...

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[EN] Machine Learning with ML.NET – Solving Real-World Classification Problem (Wine Quality) | Rubik's Code

Sztuka programowania 1085 dni, 16 godzin, 20 minut temu Piotr Stapp 23 źrodło rozwiń

In the previous article, we had a chance to look at the basics of machine learning and we got introduced to the way ML.NET framework is working. For that purpose, we have used Iris Dataset, which is a very basic classification problem. Let’s take up a notch and try to solve something which is a bit more advanced. In this article, we will see how we can apply same concepts from the previous article on one regression p...

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[EN] Machine Learning with ML.NET – Solving Real-World Regression Problem (Bike Sharing Demands) | Rubik's Code

Narzędzia 1087 dni, 4 godziny, 36 minut temu Piotr Stapp 53 źrodło rozwiń

Machine Learning is everywhere these days. I want to show how easy is to start your own journey with Azure Machine Learning.

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Azure Machine Learning – so god damn easy | Radoslaw Maziarka Blog

Cloud 1310 dni, 12 godzin, 20 minut temu Radosław Maziarka 59 źrodło rozwiń

Earlier this year I blogged about StockEstimator – my side project for predicting future stock prices. Recently in addition to F# module, which estimates future prices, I added Web Service that takes advantage of Azure Machine Learning to do the same much faster.

Dziel się z innymi:
[EN] Predicting future with F# and Azure Machine Learning

Inne 1656 dni, 11 godzin, 28 minut temu jj09 68 źrodło rozwiń

The era of big data is here and now. How to efficiently train support vector machines from massively large real-life datasets?

[EN] When Size Matters: Selection Of Training Sets For Support Vector Machines | Future Processing

Inne 1873 dni, 10 godzin, 10 minut temu FutureProcessing 26 źrodło rozwiń

W tym tygodniu, który zaowocował wieloma nowościami, rozmawiam z Łukaszem Szulcem, który jest Microsoft Student Partnerem na Uniwersytecie Mikołaja Kopernika w Toruniu. Bardzo duża porcja nowości z zakresu HDInsight, Hadoop, Machine Learning, aplikacje mobilne i wiele, wiele innych. Zapraszam do oglądania! Share this:EmailFacebookTwitterLinkedInPosted on Author wisniaCategories Azure, Azure Backup, DocumentDB, HDInsight, Machine Learning, Mobile Engagement, Mobile Services, SQL DatabaseLeave a Reply Can...

Tydzień z Azure - odcinek #7 | Tomasz Wiśniewski on Azure

Web 2302 dni, 13 godzin, 18 minut temu wisnia 39 źrodło rozwiń


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