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Develop:BBC 2013 - Turbocharge your mobile web apps by using offline
Offline is awesome. Overview of packaged apps, appcache, service workers, caching AJAX requests, etc.
DCI with Ruby and Rails
Data Context Interaction is recently invented programming paradigm, which aims at separating behaviour from data model, by extracting interactions into roles, which can be played by objects in various contexts.
This presentation is going to give brief introduction to DCI, propose ways to implement roles' injection in Ruby and discuss how DCI could be used to supplement Rails' MVC paradigm.
Predicting the future with social media
The dramatic rise in the use of Social Media (SM) platforms such as Facebook and Twitter provide access to an unprecedented amount of user data. Users may post reviews on products and services they bought, write about their interests, share ideas or give their opinions and views on political issues. There is a growing interest in the analysis of SM data from organisations for detecting new trends, obtaining user opinions on their products and services or finding out about their online reputations. A recent research trend in SM analysis is making predictions based on sentiment analysis of SM. Often indicators of historic SM data are represented as time series and correlated with a variety of real world phenomena like the outcome of elections, the development of financial indicators, box office revenue and disease outbreaks.
VelocityConf EU 2013 - Turbocharge your mobile web apps by using offline
Presentation I gave on November 14, 2013 during VelocityConf EU 2013. Offline is awesome. Overview of packaged apps, appcache, service workers, caching AJAX requests, two-way data syncing, etc.
Offline for web - Frontend Dev Conf Minsk 2014
How to make your web applications work offline. Talk given at Frontend Dev Conf 2014 in Minsk on April 19.
ESNext for humans - LvivJS 16 August 2014
Presentation I gave about next version of JavaScript @ LvivJS
Recommended
Develop:BBC 2013 - Turbocharge your mobile web apps by using offline
Offline is awesome. Overview of packaged apps, appcache, service workers, caching AJAX requests, etc.
DCI with Ruby and Rails
Data Context Interaction is recently invented programming paradigm, which aims at separating behaviour from data model, by extracting interactions into roles, which can be played by objects in various contexts.
This presentation is going to give brief introduction to DCI, propose ways to implement roles' injection in Ruby and discuss how DCI could be used to supplement Rails' MVC paradigm.
Predicting the future with social media
The dramatic rise in the use of Social Media (SM) platforms such as Facebook and Twitter provide access to an unprecedented amount of user data. Users may post reviews on products and services they bought, write about their interests, share ideas or give their opinions and views on political issues. There is a growing interest in the analysis of SM data from organisations for detecting new trends, obtaining user opinions on their products and services or finding out about their online reputations. A recent research trend in SM analysis is making predictions based on sentiment analysis of SM. Often indicators of historic SM data are represented as time series and correlated with a variety of real world phenomena like the outcome of elections, the development of financial indicators, box office revenue and disease outbreaks.
VelocityConf EU 2013 - Turbocharge your mobile web apps by using offline
Presentation I gave on November 14, 2013 during VelocityConf EU 2013. Offline is awesome. Overview of packaged apps, appcache, service workers, caching AJAX requests, two-way data syncing, etc.
Offline for web - Frontend Dev Conf Minsk 2014
How to make your web applications work offline. Talk given at Frontend Dev Conf 2014 in Minsk on April 19.
ESNext for humans - LvivJS 16 August 2014
Presentation I gave about next version of JavaScript @ LvivJS
Massive applications in node.js
Presentation about the stupid stuff you should avoid when building more than trivial applications in node.js.
Multimedia data mining using deep learning
Due to the large amounts of Multimedia data on the Internet, Multimedia mining has become a very active area of research. Multimedia mining is a form of data mining. Data mining uses algorithms to segment data to identify useful patterns and to make predictions. Despite the successes in many areas, data mining remains a challenging task. In the past, multimedia mining was one of the fields where the results were often not satisfactory. Multimedia Data Mining extracts relevant data from multimedia files such as audio, video and still images to perform similarity searches, identify associations, entity resolution and for classification. As the mining techniques have matured, new techniques were developed. A lot of progress has been made in areas such as visual data mining and natural language processing using deep learning techniques. Deep learning is a branch of machine learning and has been used among other on Smartphones for face recognition and voice commands. Deep learners are a type of artificial neural networks with multiple data processing layers that learn representations by increasing the level of abstraction from one layer to the next. These methods have improved the state-of-the-art in multimedia mining, in speech recognition, visual object recognition, natural language processing and other areas such as genome mining and predicting the efficacy of drug molecules.
Firefox OS - Internet for All (DigitalWorld Bangladesh 2014)
Presentation I gave during DigitalWorld 2014 in Dhaka about the opportunities that internet brings to Bangladesh and how Firefox OS is the platform that will facilitate that.
Firefox OS Apps & APIs - Dutch Mobile Conference / Serbia & Montenegro App da...
Presentation I gave at Dutch Mobile Conference (June 6) and on the local app days in Serbia (June 8) and Montenegro (June 9)
Social genome mining for crisis prediction
This slides examine the current state of research in the area of Social Media mining and predictive analysis and give an overview of the analysis methods using opinion mining and machine learning techniques.
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Massive applications in node.js
Presentation about the stupid stuff you should avoid when building more than trivial applications in node.js.
Multimedia data mining using deep learning
Due to the large amounts of Multimedia data on the Internet, Multimedia mining has become a very active area of research. Multimedia mining is a form of data mining. Data mining uses algorithms to segment data to identify useful patterns and to make predictions. Despite the successes in many areas, data mining remains a challenging task. In the past, multimedia mining was one of the fields where the results were often not satisfactory. Multimedia Data Mining extracts relevant data from multimedia files such as audio, video and still images to perform similarity searches, identify associations, entity resolution and for classification. As the mining techniques have matured, new techniques were developed. A lot of progress has been made in areas such as visual data mining and natural language processing using deep learning techniques. Deep learning is a branch of machine learning and has been used among other on Smartphones for face recognition and voice commands. Deep learners are a type of artificial neural networks with multiple data processing layers that learn representations by increasing the level of abstraction from one layer to the next. These methods have improved the state-of-the-art in multimedia mining, in speech recognition, visual object recognition, natural language processing and other areas such as genome mining and predicting the efficacy of drug molecules.
Firefox OS - Internet for All (DigitalWorld Bangladesh 2014)
Presentation I gave during DigitalWorld 2014 in Dhaka about the opportunities that internet brings to Bangladesh and how Firefox OS is the platform that will facilitate that.
Firefox OS Apps & APIs - Dutch Mobile Conference / Serbia & Montenegro App da...
Presentation I gave at Dutch Mobile Conference (June 6) and on the local app days in Serbia (June 8) and Montenegro (June 9)
Social genome mining for crisis prediction
This slides examine the current state of research in the area of Social Media mining and predictive analysis and give an overview of the analysis methods using opinion mining and machine learning techniques.
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Firefox OS Workshop @ Serbia & Montenegro - Training
Firefox OS Workshop @ Serbia & Montenegro - Training
Firefox OS - Internet for All (DigitalWorld Bangladesh 2014)
Firefox OS - Internet for All (DigitalWorld Bangladesh 2014)
Firefox OS Apps & APIs - Dutch Mobile Conference / Serbia & Montenegro App da...
Firefox OS Apps & APIs - Dutch Mobile Conference / Serbia & Montenegro App da...
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