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  amd machine learnong. 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 (See Profile >> Here)

• 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

Training Schedule:

• 16 - 18 March 2016

• 5-7 October 2016

Training Venue: The Connecion (Near MRT Ladprao Exit 4)>> See Map

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

Online Registration >>HERE