Practical Machine Learning for Cloudera Platform Training in Singapore

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

16 January 2025 (1 Day)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
19 January 2025 (1 Day)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
23 January 2025 (1 Day)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
01 February 2025 (1 Day)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
16 January 2025 (1 Day)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
11 February 2025 (1 Day)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
19 January 2025 (1 Day)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
23 January 2025 (1 Day)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
Practical Machine Learning for Cloudera Platform Training Course in Singapore

Singapore, which is known officially as the Republic of Singapore, is a sovereign island city-state in maritime Southeast Asia and it consists of Singapore island and 60 islets. The capital city of Singapore is Singapore and the population of the island city-state is approximately 5,709,000. The official languages of Singapore are English, Chinese (Mandarin), Malay and Tamil.

Singapore is a year-round destination, but the best time to visit Singapore is from December to June. Between February to April, Singapore has the least amount of rain and the most sunshine, since it's the dry season. Singapore offers more than just luxury hotels and high-end shopping malls; there are many family-friendly attractions and historic places. Marina Bay Sands, Gardens by the Bay, Botanic Gardens and Singapore Flyer are the most popular tourist attractions.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Singapore.
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