Practical Machine Learning for Cloudera Platform Training in Australia

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Cloudera University’s one-day Introduction to Machine Learning with Spark ML and MLlib will teach you the key language concepts to machine learning, Spark MLlib, and Spark ML. The course includes coverage of collaborative filtering, clustering, classification, algorithms, and data volume.

There are no prerequisites for this course.

This course is intended for software engineers who have basic Linux experience in addition to experience with either the Scala or Python programming languages (code examples and exercises are presented in both languages, so students can choose whichever language they prefer).

Through instructor-led discussion, as well as hands-on exercises, participants will learn topics including: 

  • Data types, statistics support, feature extraction, transforming vectors, using the StandardScaler class 
  • An overview of dimensionality reduction 
  • Machine learning models, regression, linear regression support, and regularization. 
  • Finally, the course discusses machine learning with Spark ML topics such as using data frames, transformers and estimators, an introduction to pipelines, using pipelines to generate models, and regularization.

1. Machine Learning Overview

  • Introduction
  •  Collaborative Filtering
  •  Clustering
  •  Classification
  •  Relationship of Algorithms and Data Volume

2. Machine Learning with Spark MLlib

  • Introduction
  •  Data Types
  •  Basic Statistics
  •  Feature Extraction
  •  Dimensionality Reduction
  •  Models
  •  Regression

3. Machine Learning with Spark ML

  • Overview of Spark ML
  •  DataFrames
  •  Transformers and Estimators
  •  Pipelines
  •  Decision Tree Classifiers
  •  k-Means Clustering


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Australia facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
06 November 2024
Melbourne, Sydney, Brisbane
1 Day
Classroom / Virtual Classroom
07 November 2024
Melbourne, Sydney, Brisbane
1 Day
Classroom / Virtual Classroom
06 November 2024
Melbourne, Sydney, Brisbane
1 Day
Classroom / Virtual Classroom
07 November 2024
Melbourne, Sydney, Brisbane
1 Day
Classroom / Virtual Classroom
11 November 2024
Melbourne, Sydney, Brisbane
1 Day
Classroom / Virtual Classroom
11 November 2024
Melbourne, Sydney, Brisbane
1 Day
Classroom / Virtual Classroom
18 November 2024
Melbourne, Sydney, Brisbane
1 Day
Classroom / Virtual Classroom
18 November 2024
Melbourne, Sydney, Brisbane
1 Day
Practical Machine Learning for Cloudera Platform Training Course in Australia

Australia is the smallest continent yet it's also one of the largest countries in the World. As the oldest and flattest continent, Australia is a mega-diverse country with a vast variety of landscapes, climates and animals. Canberra is the capital city while Sydney, Brisbane and Melbourne are the more popular ones. Australia is a developed country with a high-income economy and a member of the United Nations, G20 and the Commonwealth of Nations.

While cricket and football are the most popular sports in Australia, the Australian Open tennis grand slam tournament is a major international event that takes place in this country. The island of Tasmania has the cleanest air in the world. Uluru-Kata Tjuta National Park, Great Barrier Reef, Kangaroo Island, Kakadu National Park, Whitsunday Islands and The Pinnacles are some of the jaw-dropping places in Australia.

We offer a wide range of IT courses, from cybersecurity, data science and software development to business skills and project management, and we can host training at your preferred location in Australia. Let our experienced instructors provide you with hands-on training and practical insights.
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