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基于Apache Spark的大數(shù)據(jù)可擴(kuò)展機(jī)器學(xué)習(xí)培訓(xùn)

Week 1: Introduction

This is an introduction to Apache Spark.

You'll learn how Apache Spark internally works and how to use it for data processing. RDD,

the low level API is introduced in conjunction with parallel programming / functional programming.

Then, different types of data storage solutions are contrasted. Finally,

Apache Spark SQL and the optimizer Tungsten and Catalyst are explained.

Week 2: Scaling Math for Statistics on Apache Spark

Applying basic statistical calculations using the Apache Spark RDD API

in order to experience how parallelization in Apache Spark works

Week 3: Introduction to Apache SparkML

Understand the concept of machine learning pipelines

in order to understand how Apache SparkML works programmatically

Week 4: Supervised and Unsupervised learning with SparkML

Apply Supervised and Unsupervised Machine Learning tasks using SparkML