Talend Big Data Advanced – Machine Learning

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Course Objectives

After completing this course, you will be able to:

  • Connect to a Hadoop cluster from a Talend Job
  • Use context variables and metadata
  • Read and write files in HDFS in a Big Data Batch Job
  • Configure a Big Data Batch Job to use the Spark framework
  • Create and test recommendation models
  • Create and test classification models
  • Use a machine learning algorithm to deduplicate data

Target Audience

Anyone who wants to use Talend Studio to industrialize machine learning algorithms

Training Outline

SMS Classification Use Case
  • Monitoring the Hadoop cluster
  • Exploring an SMS classification use case: decision trees
  • Connecting to your cluster
  • Creating an SMS classification model
  • Testing the SMS classification model
Movie Recommendation Use Case
  • Movie recommendation use case: alternating least squares
  • Building a movie recommendation model
  • Testing the movie recommendation model
Irises Classification Use Case
  • Exploring an Iris flower classification use case: Naïve Bayes classifier
  • Building an iris classification model
  • Testing the iris classification model
Child-Care Deduplication Use Case
  • Exploring a child-care use case and dataset: matching
  • Setting up the environment
  • Pairing data
  • Building a matching model
  • Using the matching model
  • Merging groups of duplicates

Prerequisite

Completion of Talend Data Quality Essentials or Talend Big Data Basics