Data Science Academy

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-

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

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

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

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.

Sri Lanka DevOps Community Online Meetup.

Sri Lanka DevOps Community Online Meetup

Machine Learning Operations (MLOps) is based on DevOps principles and practices that increase the efficiency of workflows. For example, continuous integration, delivery, and deployment.

MLOps applies these principles to the machine learning process, with the goal of:

• Faster experimentation and development of models
• Faster deployment of models into production
• Quality assurance

Agenda –
• Azure Machine Learning
• ML Pipeline
• Azure DevOps Integration

Data Science Solution on Azure Online Singapore Training.

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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.

For Training Requirement Contact-

udithait@gmail.com

training@bluechiptraining.biz

Sri Lanka

+94 0716092918

Singapore-
+65 86738158

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

Bot Application Development.

Bot Application Development

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

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