Using BigML: Unsupervised Learning

Machine Learning    |    Intermediate
  • 9 videos | 1h 22s
  • Includes Assessment
  • Earns a Badge
Rating 4.8 of 6 users Rating 4.8 of 6 users (6)
BigML includes various unsupervised learning models used to gain insights into your data. These insights can help make pivotal business decisions or act as a starting point to build supervised learning models. In this course, you'll build several unsupervised learning models and analyze the results they produce. You'll start by creating clusters from a dataset and examining how data points within a cluster share similarities. You'll move on to uncover associations in a dataset about items purchased on an e-commerce platform. Next, you'll apply topic modeling to extract the topics discussed in a collection of texts. Following this, you'll transform a dataset containing multiple fields into a handful of principal components using Principal Component Analysis, or PCA. Finally, you'll explore the detection of anomalies in your dataset.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Generate clusters in your input data and analyze the properties of each cluster
    Illustrate the features of the various clustering models that can be configured in bigml
    Create models from your cluster instances to identify the factors that affect cluster membership
    Identify associations in a collection of transactions to find items purchased together
  • Extract discussion topics in a collection of text-based product reviews
    Find the principal components in a dataset containing several fields
    Identify the anomalies in a dataset using bigml's anomaly detection model
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 46s
  • 9m 10s
    In this video, you will learn how to generate clusters in your input data and analyze the properties of each cluster. FREE ACCESS
  • Locked
    3.  Availing of Clustering Options in BigML
    7m 24s
    After completing this video, you will be able to illustrate the features of the various clustering models that can be configured in BigML. FREE ACCESS
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    4.  Analyzing Clusters in BigML
    8m 20s
    In this video, you will create models from your cluster instances to identify the factors that affect cluster membership. FREE ACCESS
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    5.  Generating Associations Using BigML
    7m 50s
    Learn how to identify items that are purchased together in a collection of transactions. FREE ACCESS
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    6.  Topic Modeling in BigML
    9m 36s
    Find out how to extract discussion topics from a collection of text-based product reviews. FREE ACCESS
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    7.  Building a PCA Model in BigML
    6m 24s
    In this video, you will learn how to find the principal components in a dataset containing several variables. FREE ACCESS
  • Locked
    8.  Detecting Anomalies in a Dataset in BigML
    7m 5s
    In this video, you will learn how to identify anomalies in a dataset using BigML's anomaly detection model. FREE ACCESS
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    9.  Course Summary
    1m 46s

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