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Posted on August 8, 2020 by uditha

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

Posted on March 28, 2020 by uditha

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.

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)

24 software engineers attended 3 Days of training.

For Training Requirement Contact-

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Data Science and Machine Learning September 2019 Workshop Sri Lanka.

Posted on September 23, 2019 by uditha

Few days ago I had conducted the workshop on Data Science and Machine Learning. Around 10 attended the workshop.Employees from Mobitel, Expo Freight (EFL)and Abanse came to the event.

Topic covered at the workshop-

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

For Training Requirement Contact-

https://datasciencesrilanka.education/2018/07/08/the-journey-begins/

Data Science and Machine Learning Training at Softlogic Life Insurance.

Posted on February 3, 2019 by uditha

Recently I had conducted Machine Learning and AI Training at Softlogic Life Insurance Colombo. Around 10 IT Staff attended the workshop.

Topics covered at the workshop-

For Training Requirement Contact-

Data Science Lecturing at Sri Lanka Institute of Information Technology (SLIIT).

Posted on October 10, 2018 by uditha

Recently I had conducted Data Science Lecturing at Sri Lanka Institute of Information Technology for very first 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
CNN using tenser flow

Cloud Technology Workshop.

Posted on August 1, 2018 by uditha

In this one day workshop students will learn how to design and develop services that access local and remote data from various cloud platforms. Students will also learn different technologies associated with Microsoft cloud, Amazon Web Services and IBM cloud.

Overview of service and cloud technologies

· Key Components of Distributed Applications

· Data and Data Access Technologies

· Service Technologies

· Cloud Computing

Creating and consuming ASP.NET Web API services

· What are HTTP services?

· Creating an ASP.NET Web API service

· Handling HTTP requests and responses

· Hosting and consuming ASP.NET Web API services

Windows Azure Storage

· Introduction to Windows Azure Storage

· Windows Azure Blob Storage

· Windows Azure Table Storage

· Windows Azure Queue Storage

AN INTRODUCTION TO AMAZON WEB SERVICES

· A background of AWS and its needs

· The AWS Management Console

· AWS security measures

· AWS interaction through the SDK and IDE tools

· WORKING WITH AWS STORAGE SERVICES

· AWS storage options

· Working with Amazon EBS

· Working with AWS Glacier

MANAGED SERVICES AND THE DATABASES

· Amazon DynamoDB

· Amazon RDS Database

· tools and libraries DynamoDB local

AN INTRODUCTION TO IBM Cloud

· IBM Cloud technologies

· Management Console

· Security measures

· Cloud interaction through the SDK and IDE tools

· IBM Watson Studio

Conducted By-

Uditha Bandara (MVP) is specializes in Microsoft development , AI, Mobile App, Cloud and Software Testing 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

For Training Requirement Contact-