It is a common challenge for a data scientist to decide whether to use Python or R for data analysis. While R was purely developed for statisticians, making it portray analysis a specific advantage for visualizing data, Python stands out with its general-purpose characteristics and the fact that it has a very regular syntax. Based on these differences, it is necessary to compare the two languages Read More
CATEGORY: Data Science
Chris Tomlinson, Applied AI & Big Data Conference Chair’s Welcome and Opening Comments
Transcript of Chris Tomlinson, Director of the Data Science Foundation, introduction to launch the Applied AI and Data Conference at Rai, Amsterdam on 19th June 2019. The AI & Big Data Expo Europe, the leading Artificial Intelligence & Big Data Conference & Exhibition event 19-20th June at the RAI, Amsterdam. It is a showcase of next generation technologies and strategies from the world of Artificial Intelligence & Big Data, an opportunity to explore and discover the pra... Read More
Statistical Methods Research
DSF: Ronan is a new member of the Data Science Foundation and has asked for our members to support the research he is doing for his MSc thesis. I am sure we can help by participating in his survey and sharing our opinions… For my thesis I am researching various statistical methods and their ability to deliver value for predictive modelling; more specifically ‘churn prediction’. To compare the various models in a complete and honest way I want to evaluate the models base... Read More
7 Facts Everyone Should Know About Data Science
You should have a clear concept and theory behind all the statistical methods and programming. To master statistics, one can consider joining Data Science Training in Noida. Read More
International Data Science Awards Live and Entry Pages Open
The entry pages for the International Data Science Awards are now live and entries are being accepted. The awards were launched at the AI & Big Data Expo held at Olympia, London on 25 April. Entry pages will remain open until September with judging taking place in October. Read More
Big Data Business Ecosystem
A business ecosystem, first defined by James F Moore, is “An economic community supported by a foundation of interacting organizations and individuals. In this regard, an ecosystem does not yet exist in Europe for Big Data. However, from at least one perspective a Big Data ecosystem (removal of ‘business’ is deliberate) does exist in many industries in a very simple form. Read More
Word Cloud : A big thing in little time
Word cloud is a simple yet powerful visualization technique. It is primarily used to highlight significant textual data points. Word cloud is also known as text cloud or tag cloud. For instance, below is the word cloud created using Wiki data on Rio Olympics, 2016. Read More
Advances in Data Science will take place in Manchester, UK from Monday May, 20 2019 to Tuesday May, 21 2019.
A two-day meeting to present recent developments in data science. This year's meeting is themed around four topics: Health & Wellbeing, AI & Robotics, NLP & Text Mining and Security & Privacy. Invited speakers include leading data scientists from industry and academia, and there will be the opportunity to submit abstracts for talks and posters. Talks will range from application-focussed to advanced data science methodologies. Read More
User Centred Design: Data Analysis Issues
As User-Centred developments are based on the user requirements, it is essential for the developers to understand what these requirements are. This can be best achieved through collection of User Feedback. However, there is always a challenge of analysing the data collected from and on the users in an accurate and consistent manner. Read More
Big Data Business Solutions Conference Friday 26 April 2019
Director and Founder of the Data Science Foundation, Chris Tomlinson, chaired the Big Data Business Solutions Conference Friday 26 April 2019 as part of the AI & Big Data Expo at Olympia, London. The conference sessions were designed to help organisations get the most out of their data projects, allowing them to make informed business decisions and to become data-driven. Read More