Recently I did Azure Machine Learning workshop at University of Colombo.
Topics Covered –
– Introduction to Machine Learning.
– Introduction to Azure Machine Learning.
– Predicting Employee Churn using AML.
Around 40 final year students attended my session.
Recently I did Machine Learning session at Global Azure Bootcamp 2019 –Colombo.
Session Topic- Building a Product Recommendation System using Azure Machine Learning
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.
Around 70 attended the session.
This workshop aims to enable participants with the knowledge to analyze and present data by using Azure Machine Learning,
and to provide an introduction to the use of machine learning and Cognitive Services.
– Introduction to Machine Learning
– Introduction to Azure Machine Learning
– Predicting Employee Churn using AML
This workshop is suitable for software developers, database developers, business intelligence analysts and IT professionals.
Date/ Time: 6 May 2019, 6.30pm to 9.00pm (registration starts at 6.15pm)
Location: Microsoft Singapore, Level 21, One Marina Boulevard Singapore 018989
About the speaker:
Uditha Bandara (MVP) specializes in Microsoft development, AI, Mobile App and Cloud 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, Cambodia, Indonesia, Myanmar, Bangladesh, Sri Lanka and India. He has published several books, articles, tutorials, and demos on his Blog – https://uditha.wordpress.com
Meetup event –
Recently I did 2 Days AI , Data Science and Machine Learning Workshop at Dhaka,Bangladesh for Microsoft partners.
I covered following topics at the training.
Introduction to Machine Learning
Introduction to Azure Machine Learning
Building Azure Machine Learning Models
Using Azure Machine Learning Models
Using Cognitive Services
Building Product Recommender system
Microsoft BOT framework
Data Science Frameworks
Deep Learning Frameworks
15 Software developers from Dhaka attended 2 days of training.
For Training Requirement Contact-
The Global AI Night is a free evening event organized by local communities all over the world that are passionate about Artificial Intelligence on the Microsoft Azure.
The event takes place on the Tuesday 2nd of April on venues all over the world centrally organized by our HQ in the Netherlands, supported by Microsoft. The event is the perfect balance between quality content, awesome lectures, getting your hands dirty and learn & share with other community members.
Dive in and learn how to implement intelligence into your solutions with the Microsoft AI platform, including pre-trained AI services like Cognitive Services and Bot Framework, as well as deep learning tools like Azure Machine Learning, Visual Studio Code Tools for AI, and Cognitive Toolkit.
During this AI Night you will get inspired through sessions and get your hands dirty during the workshops. By the end of the night you will be able to infuse AI into your applications.
Registration URL – https://bit.ly/2Tcb10I
Azure data warehouse provides high scalability, storage, security with a massively parallel processing architecture.
Azure Data Factory is a hybrid data integration service that allows you to create, schedule and orchestrate your ETL/ELT workflows.
Azure Blob storage is a massively scalable object storage for any type of unstructured data—images, videos, audio, documents, and more—easily and cost-effectively.
Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform. Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
Azure Analysis Services is an enterprise grade analytics as a service that lets you govern, deploy, test, and deliver your BI solution with confidence.
Power BI is a suite of business analytics tools that deliver insights throughout your organization. Connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis. Produce beautiful reports, then publish them for your organization to consume on the web and across mobile devices.
Recently I had conducted Machine Learning and AI workshop at NetAssist Colombo. Around 40 attended the workshop. Employees from various IT companies and organizations attended the event.
Topics covered at the workshop-
In this workshop you will learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello World” example, throughout the workshop you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, Deep Neural Networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn popular deep learning API such as Keras and Teano.
· Introduction to Spyder IDE Jupiter Notebook with Python basics
· Python Data science libraries
· Introduction to tenser flow basics
· Basic Neural Networks using tenser flow
· Advanced Neural Networks using tenser flow
· Keras API for Deep learning
· Theano API for Deep learning
Introduction to R Programming workshop teaches attendees how to use R programming to explore data from a variety of sources by building inferential models and generating charts, graphs, and other data representations.
· History of R
· Advantages and disadvantages
· Downloading and installing
· 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