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