Machine learning for beginners: Azure AI Book.

Machine learning for beginners: Azure AI

My new book Machine Learning for beginners: Azure AI now available on Amazon Kindle version and print version.

Machine learning for beginners: Azure AI

Book Details –

Machine learning for beginner’s book provides getting started knowledge about machine learning projects. Based on Azure AI technologies this book will go through Regression, Classification and Product Recommendations. 
This book also provides python basic coding experiments toward machine learning and data science.

Topics Covered- 
Introduction to Azure AI & Machine Learning 
Matchbox Recommendations 
Azure Machine Learning Web services 
R and Python Integration 
Python Cloud Notebook

Machine learning for beginners: Azure AI

Machine learning for beginners: Azure AI

Print Edition.

Machine learning for beginners: Azure AI

Kindle Version.

Data Science Lecturing at Sri Lanka Institute of Information Technology (SLIIT).

Data Science Lecturing

Data Science Lecturing

Recently I had conducted Data Science Lecturing at Sri Lanka Institute of Information Technology for Data Science batch.  Lecturing was span across six week for 40 students covering following topics –

  • Introduction to Spyder IDE, Jupiter Notebook with Python basics
  • Azure Machine Learning
  • Python Data science libraries / Pandas /Scikit Learn
  • Introduction to tenser flow basics
  • Basic Neural Networks using tenser flow


Data Science Lecturing

Reinforcement Learning using Unity 3D.

Reinforcement learning differs from the supervised learning in a way that in supervised learning the training data has the answer key with it so the model is trained with the correct answer itself whereas in reinforcement learning, there is no answer but the reinforcement agent decides what to do to perform the given task. In the absence of training dataset, it is bound to learn from its experience.

Types of Reinforcement: There are two types of Reinforcement:

Positive –
Positive Reinforcement is defined as when an event, occurs due to a particular behavior, increases the strength and the frequency of the behavior. In other words it has a positive effect on the behavior.

Negative –
Negative Reinforcement is defined as strengthening of a behavior because a negative condition is stopped or avoided.

Reinforcement Learning

Various Practical applications of Reinforcement Learning –

RL can be used in robotics for industrial automation.
RL can be used in machine learning and data processing
RL can be used to create training systems that provide custom instruction and materials according to the requirement of students.

Unity Machine Learning Agents beta

Unity Machine Learning Agents, the first of Unity’s machine learning product offerings, trains intelligent agents with reinforcement learning and evolutionary methods via a simple Python API.

Demo Application –

Spider bot self-learning to walk

Reinforcement Learning 3

Reinforcement Learning 2

Azure Machine Learning and AI Workshop at Microsoft Singapore.

Azure Machine Learning and Artificial Intelligence Workshop at Microsoft Singapore.

This workshop aims to enable participants with the knowledge to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning and Cognitive Services.

– Introduction to Machine Learning

– Introduction to Azure Machine Learning

– Predicting Employee Churn using AML

This workshop is suitable for software developers, database developers, business intelligence analysts and IT professionals.

Date/ Time: 6 May 2019, 6.30pm to 9.00pm (registration starts at 6.15pm)

Location: Microsoft Singapore, Level 21, One Marina Boulevard Singapore 018989

Azure Machine Learning and Artificial Intelligence Workshop at Microsoft Singapore.

About the speaker:
Uditha Bandara (MVP) specializes in Microsoft development, AI, Mobile App and Cloud 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, Cambodia, Indonesia, Myanmar, Bangladesh, Sri Lanka and India. He has published several books, articles, tutorials, and demos on his Blog –

Meetup event –

GLOBAL AZURE BOOTCAMP 2019 , Kuala Lumpur , Malaysia.

GLOBAL AZURE BOOTCAMP 2019 , Kuala Lumpur , Malaysia.

All around the world user groups and communities want to learn about Azure and Cloud Computing!

On April 27, 2019, all communities will come together once again in the sixth great Global Azure Bootcamp event! Each user group will organize their own one day deep dive class on Azure the way they see fit and how it works for their members. The result is that thousands of people get to learn about Azure and join together online under the social hashtag #GlobalAzure!

I will be speaking at GLOBAL AZURE BOOTCAMP 2019 , Kuala Lumpur , Malaysia.

Date/ Time
April 27, 2019, 9AM – 5PM

GLOBAL AZURE BOOTCAMP 2019 , Kuala Lumpur , Malaysia.

Data & AI Agenda

GLOBAL AZURE BOOTCAMP 2019 , Kuala Lumpur , Malaysia.


GLOBAL AZURE BOOTCAMP 2019 , Kuala Lumpur , Malaysia.

Official Site-

Global AI Night , Colombo – Sri Lanka 2019 – Event Update.

Global AI Night , Colombo

Global AI Night,Colombo successfully concluded on 2nd of April at Microsoft Sri Lanka.

Global AI Night , Colombo

Event Details-

Global AI Night , Colombo

Official Announcement Video

Global AI Night , Colombo

First session by Mr.Indika Dalugama
(Solution Architect Data & AI)

Microsoft AI Roadmap

Global AI Night , Colombo

Second Session by Uditha Bandara
Microsoft MVP, Founder Blue Chip Training

Microsoft AI Technology platform with hands on Labs

Global AI Night , Colombo

Third Session by Mr. Calvin Hindle
Business Consultant (Cognitive & Machine Learning)
Millennium IT

AI Driven Customer Experience

Around 60 participant attended Global AI Night , Colombo. Including university students and industry professionals.

Global AI Night , Colombo

Colombo AI Technology Meetup – 500+ members and growing.

Global AI Night , Colombo

Building RNN (Recurrent Neural Network) using TensorFlow

In this tutorial we will look into building RNN using Tenserflow. We can use RNN for forecasting data where output can be next value or sequence of values.

Recurrent Neural Network code

The RNN trains its units by adjusting their weights following a slight modification of a feedback process known as backpropogation

We can use tenserflow to implement RNN. Following code we implement an RNN in to predict spam from texts









Test accuracy plot