Machine Learning with Big Data

This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

On successful Completion of the course you will be able to:

• Explain what machine learning is
• Describe the main categories of machine learning techniques
• Identify the steps in the machine learning process
• Describe what CRISP-DM is
• Describe Data Exploration and Preparation
• Describe classification and how classification can be supervised or unsupervised
• Explain and Discuss Evaluation of Machine Learning Models
• Explain Regression, Cluster Analysis, and Association Analysis
• Define what the regression task is
• Explain the difference between regression and classification
• Construct models that learn from data using widely available open source tools
• Analyze big data problems using scalable machine learning algorithms on Spark