Learning Verses Efficiency
This article in the Harvard Business Review is worth reading. It suggests that the drive to create efficient data science teams by employing specialists e.g. researchers, data engineers, machine learning experts, inference scientists etc. is the wrong approach. By narrowing the scope of the individual and creating efficiencies, you are removing the opportunity to learn and develop new capabilities.https://hbr.org/2019/03/why-data-science-teams-need-generalists-not-specialists
New Square Method
New Method of Data Regression Analysis
Four-Dimensional Regression Analysis Demonstration Video
The new CxO gang: data, AI, and robotics
This is a mini-series of articles on new figures and roles emerging in the new data economy, namely the Chief Data Officer, the Chief AI Officer, and the Chief Robotics Officer.
Next article coming on Chief AI Officer!
Would you like to join the judging panel for the International Data Science Awards 2019?
The International Data Science Awards are being launched by the Data Science Foundation this year and judging will take place in about seven months’ time. To ensure the awards are fair and independent we are putting a call out for experienced and qualified people to join the judging panel. So far, we have received confirmation from leading academics, executives and data scientists at international firms but would like to invite more people to join the panel.
There was just one award made in 2018, Data Science Writer of the Year. This year there will be ten awards.
learn Python for data science online
Best Data Science Training Institute: HoningDS is the best Data Science Training Institute online providing Data Science Training classes by realtime faculty with course material and 24x7 support.
Multi Dimensional Visualization
This visualization technique for displaying multiple dimensions has been developed by a research group at the University of Athens. They are looking for feedback from colleagues in the field on its functionality and utility.
All feedback on the functionality and utility of this multi-dimensional visualizational tool will be used to further develop the application. The link provided also includes a test data set, but where possible please apply your own data.
Big Data World 12 - 13 March 2019
The Data Science Foundation is proud to be supporting Big Data World. The event takes place 12 – 13 March 2019 at Excel, London and is aimed at everyone working with data. There will be hundreds of hours of free education from over 120 expert speakers covering all the key big data topics. And there will be thousands of your peers, offering you an invaluable time of networking and idea-sharing.
Confirmed speakers for Big Data World now include:George Zarkadakis, Digital Lead - Willis Towers WatsonAmit Varma, Head of Technology - Citi GroupDan Kellett, Senior Director of Data Science - Capital OneChris Combemale, Group CEO - DMA GroupPaul Russell, Director of Analytics - Experian UK &IMohammad Shokoohi-Yekta, Data Scientist - AppleAndrew Drooker, Director Gloal Applications Development - UPSArjun Panesar, Head of AI - Diabetes.co.ukApurva, Kumar Sinha - Head of Innovation and Information ManagementJanthana Kaenprakhamroy, CEO and Founder - TapolyJean Ortiz Perez, Head of Analytics I&A - Collinson Group Ian Thompson, Head of BI - King
Cancer Research Special Interest Group
The Data Science Foundation will launch a cancer research discussion group within the next couple of months. The idea is to bring together people with relevant expertise and or access to resources and to initiate a discussion on how the group might contribute to work being done in this field.
Hi I want member of this group so please contact my firstname.lastname@example.org
The Perfect Storm. How the Confluence of AI, Robotics Technology and Big Data Will Affect Human Employment
Ultimately, the widespread adoption of automation and robotics, as well as the rise of artificial intelligence will have profound impacts on the world, particularly in terms of human employment and even the global economy, such as the questions asked by Martin Ford, in his book, Rise of the Robots. Martin Ford suggests the outlook is bleak for millions of workers who define their self-worth in terms of their employment. Increasingly workers will no longer be exploited by those in control of capital and intelligent machines, they will be irrelevant to them.
Here is an interesting article in Wired on 'Rise of the Robots' by Martin Ford: https://www.wired.com/brandlab/2015/04/rise-machines-future-lots-robots-jobs-humans/ The book is extremely well written and worth purchasing: https://www.amazon.co.uk/Rise-Robots-Technology-Threat-Unemployment/dp/1780747497
Data Science Writer of the Year 2018
Francesco Corea is recognised as the Data Science Foundation, Data Science Writer of the Year 2018