Reinforcement Learning session at Smart Data Forum

Posted on December 27, 2023 by uditha

Reinforcement Learning is transforming industries and reshaping how machines learn from their environment. Join me as we delve into key concepts, real-world applications, and the future of this cutting-edge technology.

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Bluechip technologies Asia Annual Tech 101 Summit

Posted on February 24, 2023 by uditha

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Tech 101 at Bluechip Technologies Asia

Posted on January 26, 2023 by uditha

tech101

2022 Event

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Bluechip Technologies Asia @ ICT SPRING EUROPE 2021

Posted on September 26, 2021 by uditha

Bluechip Technologies Asia take part in Luxembourg ICT SPRING EUROPE 2021

As an influential voice in the worldwide Tech community,  the aim of ICT Spring is to encourage emulation and networking between business decisions makers, innovation managers, startups,  researchers and venture capitalists on a European scale. It is a yearly event held in Luxembourg City which is dedicated to exhibiting and demonstrating the latest relevant trends and innovations and discuss their impact on society and the working world.

ICT Spring

ICT

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Machine Learning and Game Development Workshops.

Posted on May 16, 2021 by uditha

Machine Learning and Game Development Workshops sri lanka

Machine Learning and Game Development Workshops sri lanka

Recently I did 2 workshop on Game Development and Machine Learning at Sabaragamuwa University and SLIIT.

Machine Learning and Game Development Workshops sri lanka

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Online IT Academy.

Posted on August 8, 2020 by uditha

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New way of learning for IT.

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http://www.itacademy.biz/

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Data Science Solution on Azure Online Singapore Training.

Posted on June 15, 2020 by uditha

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Recently I had conducted Azure Data Science solution online training. Following topics covered at the training.

Module 1: Introduction to Azure Machine Learning
Module 2: No-Code Machine Learning with Designer
Module 3: Running Experiments and Training Models
Module 4: Working with Data
Module 5: Compute Contexts
Module 6: Orchestrating Operations with Pipelines
Module 7: Deploying and Consuming Models
Module 8: Training Optimal Models
Module 9: Interpreting Models
Module 10: Monitoring Models

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Around 20 participants attended the training.

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Applying Machine Learning for COVID-19 Dataset.

Posted on March 18, 2020 by uditha

Kaggle recently released dataset for COVID-19.

Applying Machine Learning for COVID-19 Dataset.

Dataset Description

In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 29,000 scholarly articles, including over 13,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.

Applying Machine Learning for COVID-19 Dataset.

Call to Action

We are issuing a call to action to the world’s artificial intelligence experts to develop text and data mining tools that can help the medical community develop answers to high priority scientific questions. The CORD-19 dataset represents the most extensive machine-readable coronavirus literature collection available for data mining to date. This allows the worldwide AI research community the opportunity to apply text and data mining approaches to find answers to questions within, and connect insights across, this content in support of the ongoing COVID-19 response efforts worldwide. There is a growing urgency for these approaches because of the rapid increase in coronavirus literature, making it difficult for the medical community to keep up.

Most Common Words Experiment –

This experiment analyze common words used in the dataset using Text based ML Algorithms.

Applying Machine Learning for COVID-19 Dataset.

Applying Machine Learning for COVID-19 Dataset.

Applying Machine Learning for COVID-19 Dataset.

Applying Machine Learning for COVID-19 Dataset.

https://covid19-training.notebooks.azure.com/j/notebooks/most-common-words-in-the-cord-19-dataset.ipynb

Author – https://www.kaggle.com/paultimothymooney

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Data Science and Machine Learning Workshop 2020.

Posted on February 23, 2020 by uditha

Data Science and Machine Learning Workshop 2020 Sri Lanka

Data Science and Machine Learning Workshop 2020 Sri Lanka

https://www.meetup.com/Colombo-AI-Technology-Meetup/events/268774212/

Register URL – https://bit.ly/2NirW2l

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 – https://uditha.wordpress.com

http://datasciencesrilanka.education

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Microsoft Ignite The Tour Singapore 2020.

Posted on January 26, 2020 by uditha

Microsoft Ignite The Tour Singapore 2020.

I will be speaking at Microsoft Ignite The Tour Singapore 2020.

About the Event –

Microsoft Ignite The Tour brings the very best of Microsoft Ignite to a city near you. The tour provides technical training led by Microsoft experts and your community. You’ll learn new ways to build solutions, migrate and manage infrastructure, and connect with local industry leaders and peers

My Session –

Microsoft Ignite The Tour Singapore 2020.

https://singapore.myignitetour.techcommunity.microsoft.com/sessions/86662?source=sessions

Event Date and Location –

Singapore Expo

February 20–21, 2020

Microsoft Ignite The Tour Singapore

Official Site - 

https://www.microsoft.com/en-sg/ignite-the-tour/singapore

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