This course 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.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

The objective of this course is to learn the key language concepts to machine learning, Spark MLlib, and Spark ML.

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

Audience

Software Engineers will benefit from this course.

Language

English

Prerequisites

Experience with Apache Spark and/or Linux is highly recommended

$895

Length: 1.0 day (8 hours)

Level:

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