Practical Machine Learning for Cloudera Platform Training in New Zealand

  • 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 New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

16 January 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom
19 January 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom
23 January 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom
01 February 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom
16 January 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom
11 February 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom
19 January 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom
23 January 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom
Practical Machine Learning for Cloudera Platform Training Course in New Zealand

New Zealand is an island country in the southwestern Pacific Ocean and it consists of two main islands and 700 smaller islands. Two main islands are the North Island and the South Island. The capital city of New Zealand is Wellington and the most popular city of the island country is Auckland. English, Māori and New Zealand Sign Language are the official languages of New Zealand. As of January 2022, the population of the country is about 5,138,120. 70% of the population are of European descent, 16.5% are indigenous Māori, 15.1% Asian and 8.1% non-Māori Pacific Islanders.

Since most of the country lies close to the coast, mild temperatures are observed year-round. January and February are the warmest months while July is the coldest month of the year. Fiordland, the first national park of New Zealand Tongariro

Unlock your potential in IT through our extensive selection of courses, which include programming, software development, data science, business skills, and cybersecurity. Our adept instructors will provide you with hands-on training and practical perspectives, all conveniently hosted at your desired location within New Zealand.
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