Practical Machine Learning for Cloudera Platform Training in Netherlands

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

Classroom / Virtual Classroom
06 november 2024
Amsterdam, Rotterdam
1 Day
Classroom / Virtual Classroom
07 november 2024
Amsterdam, Rotterdam
1 Day
Classroom / Virtual Classroom
06 november 2024
Amsterdam, Rotterdam
1 Day
Classroom / Virtual Classroom
07 november 2024
Amsterdam, Rotterdam
1 Day
Classroom / Virtual Classroom
11 november 2024
Amsterdam, Rotterdam
1 Day
Classroom / Virtual Classroom
11 november 2024
Amsterdam, Rotterdam
1 Day
Classroom / Virtual Classroom
18 november 2024
Amsterdam, Rotterdam
1 Day
Classroom / Virtual Classroom
18 november 2024
Amsterdam, Rotterdam
1 Day
Practical Machine Learning for Cloudera Platform Training Course in Netherlands

The Netherlands, which is also informally known as Holland, is a country located in Northwestern Europe with overseas territories in the Caribbean. The four largest cities are Amsterdam, Rotterdam, The Hague and Utrecht. Amsterdam is the country's most populous city and the nominal capital, while The Hague holds the seat of the States General, Cabinet and Supreme Court. Rotterdam is the second largest city and has the largest port in Europe. The importance of the Netherlands for Europe is so huge that it cannot be ignored. The country is a founding member of the European Union, Eurozone, G10, NATO, OECD, and WTO.

The tourist attractions of the Netherlands are windmills, canals, and tulips. Canals are an important part of Amsterdam's cityscape and Keukenhof, the Garden of Europe, is the largest public garden in the world. The National Museum Rijksmuseum and the Anne Frank House are must-see places in the Netherlands.

Enhance your IT skills with our comprehensive array of courses, spanning programming, software development, data science, and project management. Benefit from the convenience of choosing your preferred location in Netherlands as our experienced instructors deliver interactive training and real-world insights.
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