The Sri Lankan chapter of “Open Web Application Security Project” (OWASP) had their inaugural meeting at the Colombo Security Meet up on April 4, 2012 at 99X Technology. The main focus of the meeting, which was widely attended by IT specialists were on improving the security of application software.
Prabath Siriwardena, Software Architect & Chair, MC Integration Technologies, WSO2 made the first presentation on Ethical Hacking. This was followed by a session titled “Security in Your Own Way,” which was presented by Rosita De Rose, Process Lead – 99X Technology. She spoke extensively on ISO 27001:2005 and of its significance in the IT security sector.
The aim of the Sri Lankan chapter of OWASP is to make application security visible, so that people and organization’s can make informed decisions about true application security risks. All IT specialists are encouraged to attend as participation is free and all materials are available under a free and open software license.
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The Workshops on Identity & Access Management are designed to enrich participants with valuable insights on industry best practices in identity and access management (IAM). Identity Management for Identity Architects -
The Workshops on Identity & Access Management are designed to enrich participants with valuable insights on industry best practices in identity and access management (IAM).
Identity Management for Identity Architects – Wednesday, January 17, 2018
Identity Management for Web App Developers – Thursday, January 18, 2018
OAuth 2.0 for Web and Native (Mobile) App Developers – Friday, January 19, 2018
WSO2 20, Palm Groove, Colombo 03
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use
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Module 1: Introduction to Machine Learning
This module introduces machine learning and discussed how algorithms and languages are used.
· What is machine learning?
· Introduction to machine learning algorithms
· Introduction to machine learning languages
Module 2: Introduction to Azure Machine Learning
Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.
· Azure machine learning overview
· Introduction to Azure machine learning studio
· Developing and hosting Azure machine learning applications
Module 3: Managing Datasets
At the end of this module the student will be able to explore various types of data in Azure machine learning.
· Categorizing your data
· Importing data to Azure machine learning
· Exploring and transforming data in Azure machine learning
Module 4: Building Azure Machine Learning Models
This module describes how to use regression algorithms and neural networks with Azure machine learning.
· Azure machine learning workflows
· Using regression algorithms
· Using neural networks
Module 5: 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.
· Deploying and publishing models
· Consuming Experiments
Module 6: Using Cognitive Services
This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.
· Cognitive services overview
· Processing language
· Processing images and video
· Recommending products
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Startup Weekend is a global phenomenon - 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships
Startup Weekend is a global phenomenon – 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships with co-founders; mentors, and investors.
The real value comes from taking an idea from concept through to execution using Lean tactics and working under high pressure with the best startups.
26 (Friday) 5:00 pm - 28 (Sunday) 8:00 pm
Oak Ray Regency Kandy
Oak Ray Regency Kandy, No 9, Devani Rajasinghe Mawatha,, 20000 Kandy