Using BigML: Unsupervised Learning

Machine Learning 2020    |    Intermediate
  • 9 videos | 1h 22s
  • Includes Assessment
  • Earns a Badge
Likes 4 Likes 4
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
  • Locked
    3.  Availing of Clustering Options in BigML
    7m 24s
  • Locked
    4.  Analyzing Clusters in BigML
    8m 20s
  • Locked
    5.  Generating Associations Using BigML
    7m 50s
  • Locked
    6.  Topic Modeling in BigML
    9m 36s
  • Locked
    7.  Building a PCA Model in BigML
    6m 24s
  • Locked
    8.  Detecting Anomalies in a Dataset in BigML
    7m 5s
  • Locked
    9.  Course Summary
    1m 46s

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