MOC 20774
Perform Cloud Data Science with Azure Machine Learning

da
600.00 €

5 giornate

Quali sono gli orari dei corsi?
I corsi in aula fisica e virtuale si svolgono dalle 9:00 alle 17:00. Nei corsi di durata pari a 5 gg. l’ultimo giorno (venerdì) si termina alle 13:00. L’intervallo per il pranzo è previsto dalle 13.00 alle 14.00. I corsi E-learning non sono soggetti ad oriario

COD: MOC 20774 Categorie: , ,

Descrizione

Questo corso intende mettere in grado gli allievi di analizzare e presentare dati mediante Azure Machine Learning e intende fornire una introduzione all’utilizzo di machine learning con strumenti quali HDInsight e R Services.

Questo corso è propedeutico all’esame di certificazione Microsoft 70-774 Perform Cloud Data Science with Azure Machine Learning.

Contenuti del corso

Introduction to Machine Learning

  • What is machine learning?
  • Introduction to machine learning algorithms
  • Introduction to machine learning languages

Introduction to Azure Machine Learning

  • Azure machine learning overview
  • Introduction to Azure machine learning studio
  • Developing and hosting Azure machine learning applications

Managing Datasets

  • Prepare Azure SQL database
  • Import data
  • Visualize data
  • Summarize data

Preparing Data for use with Azure Machine Learning

  • Data pre-processing
  • Handling incomplete datasets

Using Feature Engineering and Selection

  • Using feature engineering
  • Using feature selection

Building Azure Machine Learning Models

  • Azure machine learning workflows
  • Scoring and evaluating models
  • Using regression algorithms
  • Using neural networks

Using Classification and Clustering with Azure machine learning models

  • Using classification algorithms
  • Clustering techniques
  • Selecting algorithms

Using R and Python with Azure Machine Learning

  • Using R
  • Using Python
  • Incorporating R and Python into Machine Learning experiments

Initializing and Optimizing Machine Learning Models

  • Using hyper-parameters
  • Using multiple algorithms and models
  • Scoring and evaluating Models

Using Azure Machine Learning Models

  • Deploying and publishing models
  • Consuming Experiments

Using Cognitive Services

  • Cognitive services overview
  • Processing language
  • Processing images and video
  • Recommending products

Using Machine Learning with HDInsight

  • Introduction to HDInsight
  • HDInsight cluster types
  • HDInsight and machine learning models

Using R Services with Machine Learning

  • R and R server overview
  • Using R server with machine learning
  • Using R with SQL Server

Partecipanti

DB Professional e più in generale tutti coloro che devono supportare soluzioni basate su Azure Machine Learning.

Prerequisiti

Per partecipare con profitto a questo corso è necessario che gli allievi:

  • esperienza di lavoro con i database relazionali;
  • esperienza di programmazione con R e familiarità con i package R;
  • conoscenza dei principali metodi statistici e con le best practices nell’ambito della analisi dei dati;
  • conoscenza di base degli ambienti operativi Windows e delle loro principali funzionalità.

Obiettivi

Al termine del corso gli allievi saranno in grado di:

  • Explain machine learning, and how algorithms and languages are used
  • Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio
  • Upload and explore various types of data to Azure Machine Learning
  • Explore and use techniques to prepare datasets ready for use with Azure Machine Learning
  • Explore and use feature engineering and selection techniques on datasets that are to be used with Azure Machine Learning
  • Explore and use regression algorithms and neural networks with Azure Machine Learning
  • Explore and use classification and clustering algorithms with Azure Machine Learning
  • Use R and Python with Azure Machine Learning, and choose when to use a particular language
  • Explore and use hyperparameters and multiple algorithms and models, and be able to score and evaluate models
  • Explore how to provide end-users with Azure Machine Learning services, and how to share data generated from Azure Machine Learning models
  • Explore and use the Cognitive Services APIs for text and image processing, to create a recommendation application, and describe the use of neural networks with Azure Machine Learning
  • Explore and use HDInsight with Azure Machine Learning
  • Explore and use R and R Server with Azure Machine Learning, and explain how to deploy and configure SQL Server to support R services
Cancella
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