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