Applying Machine Learning for COVID-19 Dataset.


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

Global AI Bootcamp 2019 , Singapore.


Global AI Bootcamp , Singapore.

Recently I did Machine learning session at Global AI Bootcamp ,Singapore.

Global AI Bootcamp , Singapore.

Building Product Recommendation using Azure Machine Learning
by Uditha

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.

Global AI Bootcamp , Singapore.

Global AI Bootcamp , Singapore.

Global AI Bootcamp , Singapore.

AI and Machine Learning Webinar. (Sinhala and English)


AI and Machine Learning Webinar. (Sinhala and English)

AI හා Machine Learning අන්තර්ජාල වැඩමුළුව හැදින්වීම

මෙම වැඩමුළුව තුලින් ප්‍රයෝගිකව මයික්‍රොසොෆ්ට් machine learning හරහා දත්ත විශ්ලේෂණය හා ඉදිරිපත් කිරීම සවිස්තරාත්මකව ඔබට ගෙනහැර දැක්වීමට බලාපොරොත්තු වෙමු. ඔබ කෘතීම බුද්ධිය හා බැදුණු තාක්ෂණික කරනා පිලිබඳ උනන්දුවක් දක්වන්නේ නම් හා මේ ක්ෂේස්ත්‍රයට පිවිසීමට කැමති නම් මේ වෙබ් සම්මන්ත්‍රණය ඔබව නිසි මගට යොමු කරනු ඇත.

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

Workshop Outline
වැඩමුළුවේ සැකැස්ම

Introduction to Microsoft AI
කෘතීම බුද්ධිය හැදින්වීම (මයික්‍රොසොෆ්ට් platform)

Introduction to Azure Machine Learning
Azure භාවිතයෙන් Machine Learning

Predicting Employee Churn using AML
AML භාවිතයෙන් සේවක පිරිවැටුම පුරෝකථනය කිරීම

ඔබ, මෘදුකාංග ඉංජිනේරුවෙකු, දත්ත සමුදාය කළමණාකරුවෙකු, ව්‍යාපාර බුද්ධි විශ්ලේෂකයෙකු හෝ කෘතීම බුද්ධිය ගැන උනන්දුවක් දක්වන්නේ නම් මේ වෙබ් සම්මන්ත්‍රණය ඔබටයි. කේතනය පිලිබඳ හැකියාව අත්‍යවශ්‍ය නොවේ.

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

දේශකයා

උදිත බණ්ඩාර
දකුණු හා නැගෙනහිර ආසියාවේ පළමු XNA හා Direct X හොඳම වෘත්තිකයා ලෙස සම්මානයට පාත්‍ර වී ඇත. ශ්‍රී ලංකාවේ ප්‍රධානපෙලේ ආයතන ගණනාවකටම තම දැනුමින් උපදේශනය සපයා ඇති ඔහු හොං කොං, මැලේසියාව, සිංගප්පූරුව, කාම්බෝජය, ඉන්දුනීසියාව, මියන්මාරය, බංගලාදේශය හා ඉන්දියාවේ වැඩමුළු හා සම්මන්ත්‍රණ රාශියක් පවත්වා ඇත. ඔහුගේ මුලික විෂයන් වන්නේ කෘතීම බුද්ධිය, ජංගම දුරකථන යෙදුම් හා ජාලගත තාක්ෂනයන්ය.

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.

Microsoft AI

Data Science and Machine learning Bootcamp training at Singapore.


Data Science and Machine learning Bootcamp training at Singapore.

Recently I did Data Science and Machine learning Bootcamp training at Singapore.

This 3 days training was focus on getting started with Data Science technologies. Azure machine learning studio, R studio, Jupyter Notebook , Spyder with Python for data science. It also includes real world usage of machine learning for regression, classification and product recommendations.

Data Science and Machine learning Bootcamp training at Singapore.4

Data Science and Machine learning Bootcamp training at Singapore7.

Data Science and Machine learning Bootcamp training at Singapore.2

Course Outline –

https://uditha.wordpress.com/2018/04/25/data-science-bootcamp-training-sri-lanka-singapore/

13  developers from following companies attended 3 Days of training.

Data Science and Machine learning Bootcamp training at Singapore.8

DBS Bank , Singapore
https://www.dbs.com.sg/

Institute of Technical Education , Singapore
https://www.ite.edu.sg/

Mapletree Investments , Singapore
https://www.mapletree.com.sg/

Singapore Food Agency
https://www.sfa.gov.sg/

Data Science and Machine learning Bootcamp training at Singapore.5

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

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

v

Data Science Lecturing

Data Science and Machine learning Bootcamp training at Singapore.


Data Science and Machine learning Bootcamp4

Recently I did Data Science and Machine learning Bootcamp training at Singapore for VISA Employees.

This 3 days training was focus on getting started with Data Science technologies. Azure machine learning studio, R studio, Jupyter Notebook , Spyder with Python for data science. It also includes real world usage of machine learning for regression, classification and product recommendations.

Data Science and Machine learning Bootcamp

Data Science and Machine learning Bootcamp7

Course Outline –

https://uditha.wordpress.com/2018/04/25/data-science-bootcamp-training-sri-lanka-singapore/

Data Science and Machine learning Bootcamp3

Data Science and Machine learning Bootcamp8

Data Science and Machine learning Bootcamp6

5  developers from Visa Worldwide ,Singapore attended 3 Days training.

https://www.visa.com.sg/

Data Science and Machine learning Bootcamp2

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Azure Machine Learning and AI Workshop at COMAT Singapore.


Azure Machine Learning and AI Workshop at COMAT Singapore.

Recently I did Azure Machine Learning workshop at COMAT Singapore subsidiary of ST Engineering.

Topics Covered –

– Introduction to Machine Learning.
– Introduction to Azure Machine Learning.
– Predicting Employee Churn using AML.

Azure Machine Learning and AI Workshop at COMAT Singapore.

Azure AI

Around 25 IT professionals and students attended my session.

Azure Machine Learning and AI Workshop at COMAT Singapore.

Azure Machine Learning and AI Workshop at University of Colombo.


Machine Learning and AI Workshop University of Colombo

Recently I did Azure Machine Learning workshop at University of Colombo.

Topics Covered –

– Introduction to Machine Learning.
– Introduction to Azure Machine Learning.
– Predicting Employee Churn using AML.

Machine Learning and AI Workshop University of Colombo

Around 40 final year students attended my session.

Machine Learning and AI Workshop University of Colombo2

Azure Machine Learning and AI Workshop University of Colombo

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