20774 Perform Cloud Data Science with Azure Machine Learning

Agenda

• 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
• Categorizing your data
• Importing data to Azure machine learning
• Exploring and transforming data in Azure machine learning
• 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
• Module 12: Using Machine Learning with HDInsight
• Introduction to HDInsight
• HDInsight cluster types
• HDInsight and machine learning models