Big Data and Machine Learning Using MATLAB

Predictive analytics is the engine of evidence-based decision-making. Today, big data and engineering techniques bring many opportunities to the world of analytics. However, using data to build accurate and robust models for prediction requires a combination of equipment, expertise, and statistical know-how.

Seth and Amit discuss strategies and techniques for handling large amounts of data. You will learn about the tools and algorithms used to create machine learning models that learn from data and scale those models up to big data problems.

Highlights:

  • Accessing data in large text files, databases, or from the Hadoop® Distributed File System (HDFS)
  • Processing data that does not fit in memory
  • Applying machine learning techniques to explore and prepare data for modeling

Recorded: 19 Apr 2017

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