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Terminy kursów:

10.12.2018 - 14.12.2018
11.02.2019 - 15.02.2019
27.05.2019 - 31.05.2019

Oficjalny konspekt Microsoft Pozostałe szkolenia

MS-20774 Perform Cloud Data Science with Azure Machine Learning

Czas trwania kursu: 5 dni
Cena: 2299zł

KLUCZOWE ZAGADNIENIA

  • azure Machine Learning
  • budowanie modeli
  • klastrowanie i klasyfikacja
  • wykorzystanie języków R i Python


CERTYFIKACJE ZAWODOWE

Certyfikacja podstawowa CertyfIkacja specjalistyczna Certyfikacja ekspercka
FUNDAMENTALS ASSOCIATE EXPERT

 

Tematyka szkolenia pokrywa zagadnienia wymagane na ścieżce MCSA: Machine Learning
Dowiedz się więcej o certyfikacjach Microsoft


POZIOM SZKOLENIA

podstawowy średniozaawansowany zaawansowany ekspercki
100 200 300 400

 

TEMATYKA ZAJĘĆ

  • Module 1: Introduction to Machine Learning
    What is machine learning?
    Introduction to machine learning algorithms
    Introduction to machine learning languages
    Lab : Introduction to machine Learning

 

  • Module 2: Introduction to Azure Machine Learning
    Azure machine learning overview
    Introduction to Azure machine learning studio
    Developing and hosting Azure machine learning applications
    Lab : Introduction to Azure machine learning

 

  • Module 3: Managing Datasets
    Categorizing your data
    Importing data to Azure machine learning
    Exploring and transforming data in Azure machine learning
    Lab : Managing Datasets

 

  • Module 4: Preparing Data for use with Azure Machine Learning
    Data pre-processing
    Handling incomplete datasets
    Lab : Preparing data for use with Azure machine learning

 

  • Module 5: Using Feature Engineering and Selection
    Using feature engineering
    Using feature selection
    Lab : Using feature engineering and selection

 

  • Module 6: Building Azure Machine Learning Models
    Azure machine learning workflows
    Scoring and evaluating models
    Using regression algorithms
    Using neural networks
    Lab : Building Azure machine learning models

 

  • Module 7: Using Classification and Clustering with Azure machine learning models
    Using classification algorithms
    Clustering techniques
    Selecting algorithms
    Lab : Using classification and clustering with Azure machine learning models

 

  • Module 8: Using R and Python with Azure Machine Learning
    Using R
    Using Python
    Incorporating R and Python into Machine Learning experiments
    Lab : Using R and Python with Azure machine learning

 

  • Module 9: Initializing and Optimizing Machine Learning Models
    Using hyper-parameters
    Using multiple algorithms and models
    Scoring and evaluating Models
    Lab : Initializing and optimizing machine learning models

 

  • Module 10: Using Azure Machine Learning Models
    Deploying and publishing models
    Consuming Experiments
    Lab : Using Azure machine learning models

 

  • Module 11: Using Cognitive Services
    Cognitive services overview
    Processing language
    Processing images and video
    Recommending products
    Lab : Using Cognitive Services

 

  • Module 12: Using Machine Learning with HDInsight
    Introduction to HDInsight
    HDInsight cluster types
    HDInsight and machine learning models
    Lab : Machine Learning with HDInsight

 

  • Module 13: Using R Services with Machine Learning
    R and R server overview
    Using R server with machine learning
    Using R with SQL Server
    Lab : Using R services with machine learning