Introduction to Machine Learning

Course Description

This course serves as an introduction to the interdisciplinary and emerging field of data science. The course will introduce the concept of Big Data Analysis and machine learning. Students will learn to combine tools and techniques from statistics, computer science, data visualization to solve problems using big data. The course covers Machine Learning Techniques encompassing the complete Data Science study. In addition, Machine Learning tools such as Mahout, Azure ML and AWS Machine Learning will be covered in this course.

Duration : 3 Days (9:00 - 16:30)

Fee : 12,900 Baht exclude VAT (10,900 Baht exclude VAT with your own computer )
(Fee includes Course Material + Coffee Break and Lunch)

Instructor: Associate Professor Dr. Thanachart Numnonda
Executive Director, IMC Institute
Ex-Director, Software Park Thailand
Certified Sun Java Instructor
Lead Instructor for Mini Master of Java Technology KMITL
Instructor for many universities and public organizations
Mr. Aekanun Thongtae (See Profile >> Here)
Big Data Consultant at IMC Institute
Former Manager of Architecture and Prototype at EGA
Guest Lecturer in Many University, Courses of Data Mining and Information Security
Former Director of Relations Network at Student Loan Fund

Training Schedule
6 - 8 March 2017
19 - 20 September 2017

Training Venue: Skulthai Surawong Tower 8th floor (Near MRT Sam Yan Door 1)

Who Should Attend
This course is designed for all those who need to understand how to apply data science to large datasets and want to learn machine learning techniques and wish to apply these techniques on Big Data. The course also included the of two powerful open source tools: 'Python' language, and ‘Mahout’ Hadoop software framework.

Prerequisite: familiarity with Hadoop and knowledge of Java (recommended not mandatory).

Benefits
Understand the Data Science Concept as well as the proces of Data science
Being able to utilize and apply the Data Science processes to Big Data analytics projects
Understand various Machine Learning Techniques and their implementation these using Apache Mahout.
Be able to use Machine Learning Tools on Cloud

Course Outline

Day 1:
Data Science Definition, terminologies and processes
Data Science and Big Data
The Data Science Team and the role of Data Scientist
Data Science and Hadoop Architecture
Data Science Processes

Day 2
Introduction to Machine Learning
Recommendation
Clustering
Classification
Machine Learning using Apach Spark MLLin

Day 3
Machine Learning Tools on Cloud
Azure Machine Learning
AWS Machine Learning
Case Sudies


Contact Person
For more information, contact our course coordinator on:
Ms.Kwanhathai Thavornpong / Ms.Sunisa Kamhangwaratit
Mobile: 087-593-7974, 088-192-7975
Tel: 02-233-4732
E-mail: [email protected] / [email protected] /[email protected]