Data Science and Machine Learning Workshop at Microsoft Sri Lanka.
Event Timing: January 26th 2019 (Saturday) ( 9.30 a.m - 12.30 pm )

Course Content

The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning and big data.

Module 1: Introduction to Machine Learning
This module introduces machine learning and discussed how algorithms and languages are used.
· What is machine learning?
· Introduction to machine learning algorithms
· Introduction to machine learning languages

Module 2: Introduction to Azure Machine Learning
Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.
· Azure machine learning overview
· Introduction to Azure machine learning studio
· Developing and hosting Azure machine learning applications

Module 3: Managing Datasets
At the end of this module the student will be able to explore various types of data in Azure machine learning.
· Categorizing your data
· Importing data to Azure machine learning
· Exploring and transforming data in Azure machine learning

Module 4: Building Azure Machine Learning Models
This module describes how to use regression algorithms and neural networks with Azure machine learning.
· Azure machine learning workflows
· Using regression algorithms
· Using neural networks

Cost - Free

Note: Bring your own Laptops (2GB RAM )

Feel free to contact us for any inquiries

uditha bandara - 0716092918

Uditha Bandara (MVP) is specializes in Data Science, Mobile App and Blockchain technologies. He is the South East Asia`s First XNA/DirectX MVP (Most Valuable Professional). He had delivered sessions at various events and conferences in Hong Kong, Malaysia, Singapore, Indonesia, Sri Lanka and India. He has published several books,articles, tutorials, and demos on his Blog –

Event Address:

Microsoft Sri Lanka.

Access Tower II, 22nd Floor,
278 Union Pl, Colombo

Contact us at +94 (071) 6092918

Kindly Wait for Official email confirmation. Only 30 Seats available.

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