Global Azure Bootcamp 2019 – Colombo, Sri Lanka.
Recently I did Machine Learning session at Global Azure Bootcamp 2019 –Colombo.
Session Topic- Building a Product Recommendation System using Azure Machine Learning
Session Description-
Recommender systems are one of the most successful and widespread application of machine learning technologies in business .
This session will focus on building a Product Recommendation System using Azure Machine Learning and deploying as a web service.
Microsoft Azure Machine Learning Studio is a collaborative tool use to build, test, and deploy predictive analytics solutions on your data.
Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools.
Around 70 attended the session.
Event details-
https://gabccolombo.azurewebsites.net/
Azure Machine Learning and AI 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
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 – https://uditha.wordpress.com
Meetup event –
Global AI Night , Colombo – Sri Lanka 2019 – Event Update.
Global AI Night,Colombo successfully concluded on 2nd of April at Microsoft Sri Lanka.
Event Details-
https://uditha.wordpress.com/2019/03/19/global-ai-night-colombo-sri-lanka-2019/
Official Announcement Video
First session by Mr.Indika Dalugama
(Solution Architect Data & AI)
Microsoft AI Roadmap
Second Session by Uditha Bandara
Microsoft MVP, Founder Blue Chip Training
http://bluechiptraining.biz
Microsoft AI Technology platform with hands on Labs
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.
Colombo AI Technology Meetup – 500+ members and growing.
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.
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
AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka.
Recently I did 2 Days AI , Data Science and Machine Learning Workshop at Microsoft Sri Lanka for Microsoft partners.
I covered following topics at the training.
Introduction to Machine Learning
Introduction to Azure Machine Learning
Managing Data-sets
Building Azure Machine Learning Models
Using Azure Machine Learning Models
Using Cognitive Services
Building Product Recommender system
Microsoft BOT framework
Data Science Frameworks
Deep Learning Frameworks
15 Software developers and BI professionals from following companies attended 2 days of training.
For Training Requirement Contact-
AI , Data Science and Machine Learning Workshop at ICBT.
Recently I did 2 Days AI , Data Science and Machine Learning Workshop at ICBT for HND students.
I covered following topics at the training.
Introduction to Machine Learning
Introduction to Azure Machine Learning
Managing Data-sets
Building Azure Machine Learning Models
Using Azure Machine Learning Models
Using Cognitive Services
150 IT Students attended 2 days workshop.
For Training Requirement Contact-
AI , Data Science and Machine Learning Workshop at Yangon, Myanmar.
Recently I did 2 Days AI , Data Science and Machine Learning Workshop at Yangon, Myanmar for Microsoft partners.
I covered following topics at the training.
Introduction to Machine Learning
Introduction to Azure Machine Learning
Managing Data-sets
Building Azure Machine Learning Models
Using Azure Machine Learning Models
Using Cognitive Services
Building Product Recommender system
Microsoft BOT framework
Data Science Frameworks
Deep Learning Frameworks
15 Software developers from Yangon attended 2 days of training.
For Training Requirement Contact-
AI , Data Science and Machine Learning Workshop at Cambodia.
Recently I did 2 Days AI , Data Science and Machine Learning Workshop at Cambodia HR Software Company.
I covered following topics at the training.
- Introduction to Machine Learning
- Introduction to Azure Machine Learning
- Managing Datasets
- Building Azure Machine Learning Models
- Using Azure Machine Learning Models
- Using Cognitive Services
- Recruitment to Talent Management Clustering
- HR customer service Bot Application
- Retaining valuable employees Classification
- Career / Role recommender system
8 Software developers from Corarl HR attended 2 days of training.
For Training Requirement Contact-
Data Science and Machine Learning February 2019 Workshop Sri Lanka.
Few days ago I had conducted the workshop on Data Science and Machine Learning. Around 10 attended the workshop.
Employees from Dialog, GRI Tires, Seylan Bank, Interblocks, Noritake, BCAS Campus and D-Tech IT Solutions came to the event.
Topic covered at the workshop-
https://uditha.wordpress.com/2017/11/15/big-data-and-machine-learning-workshop-sri-lanka/
https://uditha.wordpress.com/2019/01/16/data-science-and-machine-learning-workshop-sri-lanka-2/
For Training Requirement Contact-
Colombo AI Technology Meetup.
We had recently started Colombo AI Technology Meetup group.
This Meetup group we are planning to Promote Data Science ,
AI, Machine Learning and Deep Learning technologies in Sri Lanka.
Right now we have close to 200 members in this groups.
https://www.meetup.com/Colombo-AI-Technology-Meetup/
First major event we planning is Global AI Night – Colombo
https://www.meetup.com/Colombo-AI-Technology-Meetup/events/258786956/
Machine Learning and AI Workshop at Microsoft Sri Lanka.
Recently I had conducted Machine Learning and AI workshop at Microsoft Sri Lanka. Around 40 attended the workshop. Employees from various IT companies and organizations attended the event. Their ware 700+ registration for this workshop.
Topics covered at the workshop-
https://uditha.wordpress.com/2017/11/15/big-data-and-machine-learning-workshop-sri-lanka/
Azure Modern Data Warehouse
Azure data warehouse provides high scalability, storage, security with a massively parallel processing architecture.
Azure Data Factory is a hybrid data integration service that allows you to create, schedule and orchestrate your ETL/ELT workflows.
Azure Blob storage is a massively scalable object storage for any type of unstructured data—images, videos, audio, documents, and more—easily and cost-effectively.
Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform. Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
Azure Analysis Services is an enterprise grade analytics as a service that lets you govern, deploy, test, and deliver your BI solution with confidence.
Power BI is a suite of business analytics tools that deliver insights throughout your organization. Connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis. Produce beautiful reports, then publish them for your organization to consume on the web and across mobile devices.
