Machine Learning With Big Data

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? 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. At the end of the course, you will be able to: • Design an approach to leverage data using the steps in the machine learning process. • Apply machine learning techniques to explore and prepare data for modeling. • Identify the type of machine learning problem in order to apply the appropriate set of techniques. • Construct models that learn from data using widely available open source tools. • Analyze big data problems using scalable machine learning algorithms on Spark. Software Requirements: Cloudera VM, KNIME, Spark

• Design a machine learning approach to leverage data
• Apply machine learning techniques for data preparation
• Identify machine learning problem types and apply techniques
• Build models using open-source tools
• Analyze big data using scalable machine learning on Spark

• Basic computer and internet skills
• Ability to read English instructions and complete short practice activities