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Machine Learning and Earth Observation Big Data

Machine Learning and Earth Observation Big Data

Learn to apply machine learning and spatial data science to classify GIS and Earth observation big data on the cloud

In this Machine Learning and Earth Observation Big Data course, I will help you get up and running on the Google Earth Engine cloud platform. Then you will apply various machine learning algorithms including linear regression, clustering, CART, and random forests. We will use Landsat satellite data to predict land use land cover classification. All sample data and script will be provided to you as an added bonus throughout the course.

Best Seller Course: Hands-On Big Data Analysis with Hadoop 3

What you’ll learn

  • Learn to learn applying machine learning algorithms using satellite data.
  • Learn processing analyzing large volume of remotely sensed satellite data with the Earth Engine API.
  • Learn to collect reference training data for image classification.
  • Learn to remove clouds from Landsat imageries.
  • Learn to calculate multi-spectral indices with satellite bands.
  • Learn to assess the accuracy of classification.

You May Also Need This Course: Artificial Intelligence and Machine Learning Foundation

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