New in Big Data: Apache HiveMall - Machine Learning with SQL
3.9 (22 ratings)
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New in Big Data: Apache HiveMall - Machine Learning with SQL

HiveMall SQL on Spark, MapReduce and Tez. Leverage your knowledge of SQL to enter Machine Learning and Big Data space.
3.9 (22 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2,181 students enrolled
Last updated 8/2017
English
Price: Free
Includes:
  • 32 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Run Machine Learning algorithms on large volumes of data using SQL queries
View Curriculum
Requirements
  • SQL
Description

It is widely accepted that applying Machine Learning techniques to data is a complex task that requires knowledge of a variety of programming languages and means hours of coding, compiling and debugging.  

Not any longer!

Apache HiveMall is a Machine Learning library that allows anyone with basic knowledge of SQL to run Machine Learning algorithms. 

  • No coding
  • No compiling
  • No debugging

Apache HiveMall algorithms are hidden behind Hive UDFs. This allows end user to use SQL and only SQL to apply Machine Learning algorithms to a very large volume of training data.

Apache HiveMall Machine Learning Library makes training, testing, and model evaluation easy and accessible to a much wider community of business experts than ever before.

Who is the target audience?
  • Anyone who is interested in Machine Learning
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Curriculum For This Course
+
Introduction
2 Lectures 09:27
Introduction
03:03

Why SQL?
06:24
+
Getting Started
3 Lectures 09:57
HiveMall Userguide
03:32

Choosing environment
04:00

Installation
02:25
+
HiveMall Example
2 Lectures 12:15
Task Introduction
00:32

Hands-on Example
11:43
About the Instructor
Dr. Elena Akhmatova
3.9 Average rating
27 Reviews
2,230 Students
2 Courses
Data Scientist

Elena works in the field of Natural Language Processing. She graduated with a degree from Saint-Petersburg State University in Russia first and then acquired PhD from Macquarie University in Sydney, Australia, where she works currently. Now she applies theoretical concepts developed in the field of Natural Language Processing to solve business problems of different big and small enterprises.

As an early adopter of BigData tools and concepts she finds existing BigData frameworks to be attractive means of working with data. She started using such tools and advising other people to adopt BigData concepts way before Hadoop, Spark and other related technologies became “must to know” tools for many IT professionals.

Sharing knowledge is something Elena enjoys doing. She believes that sharing knowledge enriches her as much as other people.