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Machine Learning using Spark

Machine learning
COURSE FEATURES
Course Duration
Duration
3 Days
Skill Level
Skill level
All levels info Course tailored to participants' expertise.
Course Language
Language
RO / EN
Course Type
Type
In-class / Online-live
Assesments
Assessments
Yes
Price for Custom Training
Custom Training
1800 Eur / Day
Price for Open Class Course
Open Class
850 Eur / Participant

Machine learning has been making waves in recent years, and for good reason.

 It allows us to analyze and understand complex data sets that were previously considered too difficult to work with. Spark ML is a powerful tool that is transforming the way we approach machine learning.

By attending this course, your team will learn how to use the Apache Spark 2.1 for machine learning.

Using: Apache Spark 2.1, Apache Zeppelin

Prerequisites: IDE (Eclipse, IDEA)

Useful: Scala, functional programming, mathematics, statistics

This course is taught in Romanian, with course materials available in either English, or Romanian. The course can be customized - on request.

DAY
1

TOPICS

6

TOPICS
6
Spark and Kafka in the Big-Data Context
Introduction to Apache Spark
Interacting with Spark
Programming with RDDs
Working with Key-Value Pairs
Simple Applications using Spark
DAY
2

TOPICS

4

TOPICS
4
Spark DataFrames/Datasets
Spark SQL
Machine learning basics
Overview of Spark MLlib & ML
DAY
3

TOPICS

12

TOPICS
12
Details about Spark MLlib
Performing linear algebra
Scaling and normalizing features
Training and applying a linear regression model
Evaluating the model’s performance
Using regularization
Optimizing linear regression
Recommendation Engines
Details about Spark ML
Logistic regression
Decision trees & Random forests
K-means clustering

Contact Us

Feel free to leave us your thoughts so we can discover the solution together!

EMAIL

academy@esolutions.ro

Get in touch

0753.029.187

Our address

20 Constantin Budisteanu Street , 1 st. District, Bucharest

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EMAIL

academy@esolutions.ro

Get in touch

0753.029.187

Our address

20 Constantin Budisteanu Street , 1 st. District, Bucharest

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