Data Science Academy

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.

http://www.bluechiptraining.biz/python-programming-course-sri-lanka/

Python Online Training Sri Lanka.

Python Online Training Sri Lanka.

For Training Requirement Contact-

udithait@gmail.com

training@bluechiptraining.biz

Sri Lanka

+94 0716092918

Singapore-

+65 86738158

IBM AI Enterprise Workflow Data Science Specialist Training

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In this program, we decided to take a different approach than traditional product certifications, and instead of building a product-centric certification,

we decided to build a process-centric certification with specific guiding principles:

1.    Using a single use case/real world scenario as the foundation to work through what it takes to build an end to end AI solution

2.    Leveraging Design thinking as a framework to work through the translation of business goals into AI technical implementations

3.    Bringing together different capabilities such as Machine Learning, Optimization, and specific narrow-AI functionality

4.    Leveraging python as the tool of choice for building AI models, and bringing in Watson Studio where it adds value on top of Python and other open source tools

Section 1: Scientific, Mathematical, and technical essentials for Data Science and AI

· Explain the difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics

· Describe and explain the key terms in the field of artificial intelligence (Analytics, Data Science, Machine Learning, Deep Learning, Artificial Intelligence etc.)

· Distinguish different streams of work within Data Science and AI (Data Engineering, Data Science, Data Stewardship, Data Visualization etc.)

· Describe the key stages of a machine learning pipeline.

· Explain the fundamental terms and concepts of design thinking

· Explain the different types of fundamental Data Science

· Distinguish and leverage key Open Source and IBM tools and technologies that can be used by a Data Scientist to implement AI solutions

Section 2: Applications of Data Science and AI in Business

· Identify use cases where artificial intelligence solutions can address business opportunities

· Translate business opportunities into a machine learning scenario

· Differentiate the categories of machine learning algorithms and the scenarios where they can be used

· Show knowledge of how to communicate technical results to business stakeholders

· Demonstrate knowledge of scenarios for application of machine learning

Section 3: Data understanding techniques in Data Science and AI

· Demonstrate knowledge of data collection practices

· Explain characteristics of different data types

· Show knowledge of data exploration techniques and data anomaly detection

· Use data summarization and visualization techniques to find relevant insight

Section 4: Data preparation techniques in Data Science and AI

· Demonstrate expertise cleaning data and addressing data anomalies

· Show knowledge of feature engineering and dimensionality reduction techniques

· Demonstrate mastery preparing and cleaning unstructured text data

Section 5: Application of Data Science and AI techniques and models

· Explain machine learning algorithms and the theoretical basis behind them

· Demonstrate practical experience building machine learning models and using different machine learning algorithms

Section 6: Evaluation of AI models

· Identify different evaluation metrics for machine learning algorithms and how to use them in the evaluation of model performance

· Demonstrate successful application of model validation and selection methods

· Show mastery of model results interpretation

· Apply techniques for fine tuning and parameter optimization

Section 7: Deployment of AI models

· Describe the key considerations when selecting a platform for AI model deployment

· Demonstrate knowledge of requirements for model monitoring, management and maintenance

· Identify IBM technology capabilities for building, deploying, and managing AI models

Section 8: Technology Stack for Data Science and AI

· Describe the differences between traditional programming and machine learning

· Demonstrate foundational knowledge of using python as a tool for building AI solutions

· Show knowledge of the benefits of cloud computing for building and deploying AI models

· Show knowledge of data storage alternatives

· Demonstrate knowledge on open source technologies for deployment of AI solutions

· Demonstrate basic understanding of natural language processing

· Demonstrate basic understanding of computer vision

· Demonstrate basic understanding of IBM Watson AI services

For Training Requirement Contact-

udithait@gmail.com

training@bluechiptraining.biz


Sri Lanka

+94 0716092918

Singapore-
+65 86738158

MATLAB FUNDAMENTALS Course.

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This course provides a comprehensive introduction to the MATLAB® technical computing environment.

No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course.

You will learn:

• How to use Matlab to analyze data and report results

• How to load and save information using several file formats including text, binary and Excel

• How to automate analyses using basic programming and built-in functions

• How to create robust, reusable and maintainable code

• To design and present data in graphs and GUI windows

• The basic skills that will enable you to continue learning advanced topics by yourself, at your own pace

1. The Matlab environment

· Learn how to use the Matlab desktop

· The Matlab workspace and command window

· Using the command history

· Using the documentation system and other online resources

2. Using numeric and character-based data

· Matlab’s data types and precisions

· Matlab’s data storage types

· Creating and manipulating data

· Operators and expressions

· Using functions

· Accessing sub-elements and data ranges

3. Matlab Programming

· Creating your first Matlab script

· The Matlab editor

· Using the debugger

· Scripts vs. functions

· Controlling program control flow

· Coding conventions and best practices

4. Analyzing data

· Removing and fixing invalid data

· Fitting data

· Error handling

5. Saving and loading data

· To/from Matlab workspace

· To/from text or binary files

· To/from Excel

· To/from a webpage

6. Visualizing data

· Displaying results in the command window

· Plotting data in 2D and 3D graphs

· Presenting data tables

· Exporting graphics to external applications

For Training Requirement Contact-

udithait@gmail.com

training@bluechiptraining.biz


Sri Lanka

+94 0716092918

Singapore-
+65 86738158

NASA Space Apps Challenge 2020.

NASA Space Apps Challenge 2020

NASA is inviting coders, entrepreneurs, scientists, designers, storytellers, makers, builders, artists, and technologists to

come together in a global, virtual hackathon. During a period of 48 hours, participants from around the world will come

together to create virtual teams and solve challenges using NASA’s open-source data.


We are proud and thrilled to announce ‘NASA Space Apps Colombo, 2020’, which is the very

first international hackathon event in Sri Lanka, in line with NASA’s guidelines and direct collaboration.

The event is organised by SEDS Sri Lanka, which is the international body that strives to promote

space exploration and development via educational and engineering projects.

NASA Space Apps Challenge 2020

Official Web –  https://www.spaceappscolombo.org/

AI for Business Leaders Workshop Sri Lanka.

AI for Business Leaders Workshop Sri Lanka.

Recently I did AI for Business Leaders Workshop at Orel IT. I covered following topics during the workshop.

AI based business opportunities

AI development life cycle

Cloud based AI technologies

AI Use Cases

AI for Business Leaders Workshop Sri Lanka.

AI for Business Leaders Workshop Sri Lanka.

AI for Business Leaders Workshop Sri Lanka.

For Training Requirement Contact-

udithait@gmail.com

training@bluechiptraining.biz


Sri Lanka

+94 0716092918

Singapore-

+65 86738158

Online Healthcare Machine Learning workshop at Melbourne.

Online Healthcare Machine Learning workshop at Melbourne.

Recently we had conducted online Machine Learning workshop for St John of God Health Care Doctors at Melbourne.

Following topics covered at the training.

Introduction to Data Science

Introduction to Machine Learning

Machine Learning in Healthcare

Healthcare research in Machine Learning.

Online Healthcare Machine Learning workshop at Melbourne.

Online Healthcare Machine Learning workshop at Melbourne.

Introduction to Machine Learning Workshop .

cloud-machine-learning-workshop-sri-lanka_thumb

https://www.meetup.com/Colombo-AI-Technology-Meetup/events/271734830/

Register URL – https://bit.ly/3fdAK56

Contact us at +94 (071) 6092918

udithait@gmail.com
training@bluechiptraining.biz

Conducted By-

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

Cloud Machine Learning Workshop Sri Lanka.

Cloud Machine Learning Workshop sri lanka2

Cloud Machine Learning Workshop sri lanka

https://www.meetup.com/Colombo-AI-Technology-Meetup/events/270402228/

Register URL – https://bit.ly/3fdAK56

Contact us at +94 (071) 6092918

Feel free to contact us for any inquiries

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

Data Science and Machine Learning March 2020 Workshop Sri Lanka.

Data Science and Machine Learning Workshop

Few weeks ago I had conducted the workshop on Data Science and Machine Learning.

Around 12 attended the workshop.Employees from Stretch line,Enso,Sri Lanka Insurance (SLIC),Sri Lanka Tourism Development Authority

and Attune came to the event.

Data Science and Machine Learning Workshop

Data Science and Machine Learning Workshop

Data Science and Machine Learning Workshop

Topic covered at the workshop-

https://uditha.wordpress.com/2017/11/15/big-data-and-machine-learning-workshop-sri-lanka/

Data Science and Machine Learning Workshop

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

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

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.

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

Course Outline –

Introduction to Machine Learning

This module introduces machine learning and discussed how
algorithms and languages are used.

Lessons

· What is machine learning?

· Introduction to machine learning algorithms

· Introduction to machine learning languages


Introduction to Azure Machine Learning

Describe the purpose of Azure Machine Learning, and list the
  main features of Azure Machine Learning Studio.

Lessons

· Azure machine learning overview

· Introduction to Azure machine learning studio

· Developing and hosting Azure machine learning applications

Managing Datasets

At the end of this module the student will be able to explore
various types of data in Azure machine learning.

Lessons

· Categorizing your data

· Importing data to Azure machine learning

· Exploring and transforming data in Azure machine learning

Building Azure Machine Learning Models

This module describes how to use regression algorithms and
neural networks with Azure machine learning.

Lessons

· Azure machine learning workflows

· Using regression algorithms

· Using neural networks

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. Lessons

· Deploying and publishing models

· Consuming Experiments

Introduction to Python

• Python History

• Installing Python

• Installing IDE


Data types

• Numbers

• Sequences

• File

• Tuples

• Dictionaries


Data Science Intro

• Why Python for Data Science

• Popular packages

• Use cases

• Popular Libraries

• Panda

• Numpy

• Matplotlib

• Scikit-learn


Working with data

• Reading & Writing to different data sources

• Cleaning data

• Visualization

• Data Transformation


Introduction to Deep Learning

· Deep learning basics

· Deep learning tools

· Introduction to neural network

· CNN, ANN, RNN neural network


Introduction to Tensor Flow

· Installing Tensor Flow

· Tensor Flow basics

· Basic Neural Networks using tenser flow

· Advanced Neural Networks using tenser flow (CNN, RNN, ANN)

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

24  software engineers attended 3 Days of training.

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

Global Azure Bootcamp 2019 – Colombo, Sri Lanka.

Global Azure Bootcamp10

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.

Global Azure Bootcamp 8

Global Azure Bootcamp

Global Azure Bootcamp 4

Global Azure Bootcamp 7

Around 70 attended the session.

Event details-

https://gabccolombo.azurewebsites.net/

Global Azure Bootcamp 11

Global Azure Bootcamp 5