Data Science Academy  [ Singapore , Hong Kong , Philippines ]

AI technology in Singapore


This trend does not appear to be slowing anytime soon, with firms, startups, and the Singapore government all taking considerable steps to reinvent themselves as leaders in the AI sector.

AI Singapore announced two new initiatives in partnership with the Infocomm Media Development Authority in 2018, and AI Singapore was established with the express instructions “to catalyze, synergize, and boost Singapore’s AI capabilities to power, future digital economy” the year before. AI has also been highlighted by the government as one of the four basic technologies required for the country to become “digitally ready.” Slowing growth, declining capital investment, sluggish labor growth, and decelerating productivity are some of the country’s present economic concerns. Embracing technology could assist the country overcome these issues. In Singapore, the healthcare industry is already experiencing the benefits of AI. AI is also being used in airport operations, particularly with the use of facial recognition to move passengers from the terminal to the airplane in less time. In Singapore, AI is becoming more prevalent in the banking and commercial sectors.

Singapore has always aimed to be a global leader in artificial intelligence, and those who work with the technology will appreciate this Model Framework. It expands on issues discussed in 2018, paying special emphasis to deployments including internal governance, risk management, operations management, and customer relationship management. It also has the full support of the Singaporean Advisory Council on the Ethical Use of AI and Data, which is made up of international AI leaders, consumer advocates, and business leaders who help to engage stakeholders on issues related to the development of AI governance capabilities and frameworks.

Data Science and Machine Learning Workshop Sri Lanka.

Recently I had conducted the workshop on Data Science and Machine Learning.Around 7 participants attended the workshop.

Topic covered at the workshop-

For Training Requirement Contact-

Introduction to Machine Learning Workshop

Introduction to Machine Learning Workshop

Course Content

The main purpose of the workshop is to give students the ability to analyze and present data by

using Azure Machine Learning Python ,Jupiter Notebook and to provide an introduction to the use of machine learning.

Module 1: Introduction to Machine Learning
This module introduces machine learning and discussed how algorithms and languages are used.
· What is machine learning?
· Introduction to machine learning algorithms
· Introduction to machine learning languages

Module 2: Introduction to Azure Machine Learning
Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.
· Azure machine learning overview
· Introduction to Azure machine learning studio
· Developing and hosting Azure machine learning applications

Module 3: Managing Data-sets
At the end of this module the student will be able to explore various types of data in Azure machine learning.
· Categorizing your data
· Importing data to Azure machine learning
· Exploring and transforming data in Azure machine learning

Module 4: Building Azure Machine Learning Models
This module describes how to use regression algorithms and neural networks with Azure machine learning.
· Azure machine learning workflows
· Using regression algorithms
· Using neural networks

Module 5: Using Azure Machine Learning Models
This module explores how to provide end users with Azure machine learning services, and how to share data generated from Azure machine learning models.
· Deploying and publishing models
· Consuming Experiments

Module 6: Using Cognitive Services
This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.
· Cognitive services overview
· Processing language
· Processing images and video
· Recommending products

Module 7: Python Data Science tools

Module 8 :Reinforcement Learning Basics (RL)

Cost – 6000 Rupees
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 –

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Contact us at +94 (071) 6092918

Python Online Training Singapore.

Python Online Training Sri Lanka.

Recently we had conducted online Python training for Bank of America staff at Singapore.

Following topics covered at the training.

Python Online Training Sri Lanka.

Python Online Training Sri Lanka.

For Training Requirement Contact-

Sri Lanka

+94 0716092918


+65 86738158