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Autor Tópico: Microsoft Azure Machine Learning Studio  (Lida 298 vezes)

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Microsoft Azure Machine Learning Studio
« em: 24 de Outubro de 2019, 14:09 »

Microsoft Azure Machine Learning Studio
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 1.84 GB
Duration: 4 hours | Genre: eLearning Video | Language: English

Concepts on Microsoft Azure Machine Learning Studio

What you'll learn

    Access to Microsoft Azure Machine Learning Studio
    Administration of Microsoft Azure Machine Learning Studio
    Various Modules in Microsoft Azure Machine Learning Studio
    Various Algorithms in Machine Learning
    Training a Model in Machine Learning
    Predicting values from various Algorithms
    Deploying Trained Model into Web services
    Introduction on Notebook in Microsoft Azure Machine Learning Studio

Requirements

    Beginner
    Novice
    All Audience

Description

This course gives you basic idea and usage of Microsoft Azure Machine Learning Studio.

Microsoft Azure Machine Learning Studio is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. It is the development of computer programs that can access data and use it learning for themselves.

The process of learning begins with the data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

Applications of Machine Learning include but not limited to virtual personal assistants, predictions while commuting, videos surveillance, social media services, email spam and malware filtering, online customer support, search engine result refining, product recommendations, online fraud detection, etc.,

Please Note: This course is to develop an algorithm of specific instructions and data generated can be used for performing specific task for computer systems.

In this, you can get access to the tool for practice so that if I missed something or something has been updated you can have hands on practice.

Lecture -1 Introduction to Microsoft Azure Machine Learning Studio and Administration

Lecture -2 Various Modules in Machine Learning

Lecture -3 Prediction of Income (Automated Tutorial)

Lecture -4 Prediction of Automobile Price using Linear Regression Algorithm

Lecture -5 Dataset Processing and Analysis (Sample-1)

Lecture -6 Cross Validation for Regression (Sample-2)

Lecture -7 Clustering Group Iris data (Sample-3)

Lecture -8 Introduction on Notebook in Microsoft Azure Machine Learning Studio

Who this course is for:

    All audience
    Beginner to Microsoft Azure Machine Learning Studio
   

               
 
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