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Machine Learning for Java Developers

March 12, 2018 @ 9:00 am - March 13, 2018 @ 5:00 pm


Course Overview

A hands-on introduction to core Machine Learning techniques, this course will familiarise you with the Machine Learning landscape as well as providing practical experience.

Learning Objectives

  • To have a familiarity with the Machine Learning landscape
  • Understand the different types of Machine Learning algorithms
  • Identify suitable Machine Learning techniques for different types of data
  • To be able to implement and evaluate basic Machine Learning algorithms in Java

Target Audience

This is ideally suited for Java developers with over 2 years experience. No Machine Learning experience is required.


Proficiency in Java development

Course Outline

Day 1: The Machine Learning Landscape


  • A high level overview of key Machine Learning concepts
  • Overview of Machine Learning tools and resources for Java

Topic 1

  • Introduction to Regression: a supervised learning technique
  • Regression analysis
  • Regression lab

Topic 2

  • Working with data
  • Feature transformation introduction and demonstration
  • Feature selection introduction and demonstration
  • Feature selection and transformation labs

Topic 3

  • Introduction to clustering: an unsupervised learning technique
  • Clustering lab

Topic 4

  • Introduction to data classification
  • Classifying data using Naïve Bayes demonstration

Topic 5

  • Introduction to learning with ensembles
  • Ensembles lab
  • More complex network labs:Ensembles lab


Day 2: Neural Networks


  • Introduction to Neural Networks
  • Introduction to DeepLearning4J
  • Demonstration

Topic 1

  • A simple network: lab
  • Tuning and hyperparameters

Topic 2

  • More complex network labs:
  • Image recognition
  • Recurrent Neural Networks


March 12, 2018 @ 9:00 am
March 13, 2018 @ 5:00 pm


Maldron Hotel Sandy Road