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

MonkeyFest Singapore 2020 – Xamarin Conference.


Xamarin Conference

I will be speaking at MonkeyFest Singapore 2020 – Xamarin Conference.

About this Event –

MonkeyFest is back in Singapore on the 22nd February 2020 – MonkeyFest is the Ultimate Xamarin Conference packed with the latest and best of Native Cross Platform Development with .Net.

We have a full day of Sessions and Workshops presented by Microsoft / Xamarin CDAs and MVPs.

Xamarin Conference

Date And Time

Sat, 22 February 2020

9:00 AM – 4:30 PM (Singapore Standard Time)

Location

137 Cecil St, Fujiroom

04-01 HengDa Building

Singapore, 069537

Register now –

http://monkeyfest2020.webflow.io/

Apple IOS mobile Application Development Training at Singapore.


ios training 1

Recently I did Apple IOS Mobile Application Development training at Singapore.

I covered following topics at the training.

https://uditha.wordpress.com/2016/09/26/apple-ios-application-development-course-sri-lanka/

ios training 2

ios training 3

4 Software developers attended 3 Days of IOS training.

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Xamarin Mobile Application Development for Android & IOS Training at Singapore.


Xamarin Mobile Application Development for Android & IOS Training at Singapore.

Recently I did Xamarin Mobile Application Development training at NTUC Singapore.

I covered following topics at the training.

  • Xamarin for Mobile Development
  • Architecting Solutions for Cross-Platform Development
  • Building Windows Universal and Phone Applications
  • Android Development with Xamarin
  • IOS Development with Xamarin
  • Cross-Platform Development with Xamarin.Forms
  • Navigation
  • Data-Binding
  • Using Web Services
  • Xamarin Shell
  • Deployment

Xamarin Mobile Application Development for Android & IOS Training at Singapore.

Xamarin Mobile Application Development for Android & IOS Training at Singapore.

Xamarin Mobile Application Development for Android & IOS Training at Singapore.

4 Software developers attended 3 Days Xamarin training.

Grab Mobile Application Development Best Practices Singapore.


Grab Mobile Application Development

Grab is one of the largest ride hailing platform in South East Asia.

Grab Mobile Application Development

Following were few interesting fact regarding this Super App discussed at Google Singapore.

Grab Mobile Application Development

Grab Mobile Application Development

Grab Mobile Application Development

Grab Mobile Application Development

Grab Mobile Application Development

Download URL –

https://play.google.com/store/apps/details?id=com.grabtaxi.passenger&hl=en

Xamarin Mobile Application Development for Android & IOS Training at Singapore.


xamarin

Recently I did Xamarin Mobile Application Development training at Singapore.

I covered following topics at the training.

  • Xamarin for Mobile Development
  • Architecting Solutions for Cross-Platform Development
  • Building Windows Universal and Phone Applications
  • Android Development with Xamarin
  • IOS Development with Xamarin
  • Cross-Platform Development with Xamarin.Forms
  • Navigation
  • Data-Binding
  • Using Web Services
  • Deployment’

Xamarin Mobile Application Development for Android & IOS Training at Singapore.

Xamarin Mobile Application Development for Android & IOS Training at Singapore.

5 Software developers from following companies attended 4 Days Xamarin training.

Xamarin Mobile Application Development for Android & IOS Training at Singapore.

Woh Hup (Private) Limited
https://www.wohhup.com/

Xamarin Mobile Application Development for Android & IOS Training at Singapore.

Nok Asia Company Pte. Ltd.
http://www.nok.com.sg/Corporate/

Xamarin Mobile Application Development for Android & IOS Training at Singapore.

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

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