Azure Machine Learning Studio

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About Course

This course gives you a 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, 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 to 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 the specific tasks 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.

Who this course is for:

  1. All audience
  2. Beginner to Microsoft Azure Machine Learning Studio
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What Will You 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

Course Content

Azure Machine Learning Studio

  • Azure Machine Learning Studio: Compare Models
    00:00
  • Azure Machine Learning Studio: Cross Validate Model
    00:00
  • Azure Machine Learning Studio: Tune Model Hyperparameters
    00:00
  • Azure Machine Learning Studio: Matchbox Recommender, Movies example
    00:00
  • Azure Machine Learning Studio: Matchbox Recommender Restaurant Example
    00:00
  • Azure Machine Learning Studio: Score Recommender from Unrated Items
    00:00
  • Azure Machine Learning Studio: Matchbox recommender with live data
    00:00
  • Azure Machine Learning Studio: Detect Languages and Preprocess Text
    00:00
  • Azure Machine Learning Studio: Named Entity Recognition
    00:00
  • Azure Machine Learning Studio: Extract Key Phrases from Text
    00:00
  • Azure Machine Learning Studio: Feature Hashing
    00:00
  • Azure Machine Learning Studio: Feature Hashing with Prediction
    00:00
  • Azure Machine Learning Studio: Extract N-Gram Features From Text
    00:00
  • Azure Machine Learning Studio: Latent Dirichlet Allocation (LDA)
    00:00
  • Azure Machine Learning Studio: Matchbox Recommender with Text Analytics
    00:00
  • Azure Machine Learning Studio: Download Scored Data to CSV
    00:00
  • Azure Machine Learning Studio: Partition and Sample
    00:00
  • Azure Machine Learning Studio: Regular & Relative Exressions
    00:00
  • Azure Machine Learning Studio: Introduction and uploading data
    00:00
  • Azure Machine Learning Studio: Summarize data, normalize data, clean missing data
    00:00
  • Azure Machine Learning Studio: Introduction to prediction
    00:00
  • Azure Machine Learning Studio: Publish to Gallery
    00:00
  • Azure Machine Learning Studio: Using Azure ML prediction in Excel
    00:00
  • Azure Machine Learning Studio: Creating and using API w/Postman and C#
    00:00
  • Azure Machine Learning Studio: Filter Based Feature Selection
    00:00
  • Azure Machine Learning Studio: Permutation Feature Importance
    00:00
  • Azure Machine Learning Studio: Principle Components Analysis
    00:00
  • Azure Machine Learning Studio: Principal Components with survey data
    00:00
  • Azure Machine Learning Studio: Ordinal Regression
    00:00
  • Azure Machine Learning Studio: Poisson Regression
    00:00
  • Azure Machine Learning Studio: Bayesian Linear Regression
    00:00
  • Azure Machine Learning Studio: Neural Network Regression
    00:00
  • Azure Machine Learning Studio: Decision Forest Regression
    00:00
  • Azure Machine Learning Studio: Boosted Decision Tree
    00:00
  • Azure Machine Learning Studio: Two-Class Logistic Regression
    00:00
  • Azure Machine Learning Studio: Two-Class Averaged Perceptron
    00:00
  • Azure Machine Learning Studio: Two-class Bayes Point Machine
    00:00
  • Azure Machine Learning Studio: Two-Class Decision Forest
    00:00
  • Azure Machine Learning Studio: Two-Class Decision Jungle
    00:00
  • Azure Machine Learning Studio: Two-class Boosted Decision Tree
    00:00
  • Azure Machine Learning Studio: Two-Class Support Vector Machine
    00:00
  • Azure Machine Learning Studio: Two-Class Locally Deep SVM
    00:00
  • Azure Machine Learning Studio: Two-Class Neural Network
    00:00
  • Azure Machine Learning Studio: One-v-all multiclass
    00:00

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