Machine Learning for Java Developers Training

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Course Description

This Machine Learning for Java Developers Training course is 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

Course Outline

Day 1: The Machine Learning Landscape

Introduction

•     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

Day 2: Neural Networks

Introduction

•     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

Ways to Attend

• Attend a public course, check our schedule
• Private onsite Team training also available