Practical Machine Learning for Cloudera Platform Training in Republic of the Philippines

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

16 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
19 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
23 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
01 February 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
16 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
11 February 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
19 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
23 January 2025 (1 Day)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
Practical Machine Learning for Cloudera Platform Training Course in Philippines

The Philippines, officially the Republic of the Philippines, is an island country of Southeast Asia. The island country is located in the western Pacific Ocean, and consists of approximately 7.640 islands. And those islands are categorized under three main geographical divisions: Mindanao, Luzon and Visayas. Manila is the capital city of the Philippines and the resort island in the Western Visayas region, Boracay is one of the most popular vacation spots.

The climate of the Philippines is tropical and monsoonal. From May to October, rain-bearing winds blow from the southwest while drier winds come from the northeast from November to February. That's why the best time to visit the Philippines is during the dry season between November and April.

Discover a wealth of IT courses tailored to your needs, encompassing programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Let our experienced instructors guide you through hands-on training and offer valuable insights at any location of your preference within Philippines.
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