Machine Learning With Big Data

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Last updated on February 11, 2026 5:14 am

Learn how to leverage data using machine learning techniques. Explore, analyze, and scale models to solve big data problems. Gain hands-on experience with open source tools like Cloudera VM, KNIME, and Spark. Develop a strong foundation in data exploration, preparation, classification, and evaluation. Start your journey into the world of machine learning with this comprehensive course.

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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

What you will learn

Welcome
Introduction to Machine Learning with Big Data
Data Exploration
Data Preparation
Classification
Evaluation of Machine Learning Models

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    Machine Learning With Big Data
    Machine Learning With Big Data
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