Data Science Academy

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

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 Posted on July 12, 2020 by

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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

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 Posted on July 7, 2020 by

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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

 Leave a Comment

 Posted on May 10, 2020 by

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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

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 Posted on August 3, 2019 by

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Building a Product Recommendation System using Azure Machine Learning.

Product Recommendation System using Azure Machine Learning

Recently I had conducted  Machine Learning and AI workshop at Microsoft Sri Lanka.In that session I had shown building product Recommendation System using Azure Machine Learning

Around 40 attended the workshop.Student from various universities attended this workshop.

Product Recommendation System using Azure Machine Learning

Product Recommendation System using Azure Machine Learning

Product Recommendation System using Azure Machine Learning

Product Recommendation System using Azure Machine Learning

Product Recommendation System using Azure Machine Learning

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 Posted on March 4, 2019 by

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Data Science Boot camp Sri Lanka

 

logo-stack-pythonThis 3 days training focus on getting started with Data Science technologies. You will learn Azure machine learning studio, R studio, Jupyter Notebook ,Spyder with Python for data science. This course includes real world usage of machine learning for regression, classification and product recommendations.

Day 1

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

 

 

Day 2

Introduction to R

· Using the R console

· Learning about the environment

· Writing and executing scripts

· Object oriented programming

· Installing packages

· Working directory

· Saving your work

 

Variable types and data structures

· Variables and assignment

· Data types

· Numeric, character, boolean, and factors

· Data structures

· Vectors, matrices, arrays,

· Assigning new values

· Viewing data and summaries

 

Base graphics system in R

· Scatterplots, histograms, barcharts, box and whiskers, dotplots

· Labels, legends, titles, axes

· Exporting graphics to different formats

General linear regression

· Linear and logistic models

· Regression plots

· Interaction in regression

Day 3

Introduction to Python

· Python History

· Users of Python

· Installing Python

· Installing IDE

 

Datatypes

· 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

· Visualisation

· Data Transformation

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 Posted on July 8, 2018 by

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