MEMBERSHIP

Individual (2085)

Share your knowledge and expertise and help others make better decisions

Join the DSF

Make new connections and develop your profile within the data science sector

Organisational (93)

Promote the ethical and responsible use of data and artificial intelligence

University (18)

Provide course information, recruit new students and publish research papers

19 Feb

5 Tips for Building a Culture of Security Among Remote Employees

Earlier, we highlighted the importance that making security a part of your organizational culture played in keeping your remote workforce secure during the COVID-19 pandemic. But what does that entail? In this post, we’re going to flesh out key steps that security teams and their leadership should take in order to make a strong culture of security a reality within their organizations. Read more

19 Feb

4 Most Common Types of Cybersecurity Threats

There’s every indication that the pandemic is changing the nature of cybersecurity. Online threats are evolving to match our new remote-work paradigm, with 91% of businesses reporting an increase in cyberattacks during the coronavirus outbreak. Read more

19 Feb

Interpretive Analytics: Understanding the Context and the Variables is the Key!

Interpretive Analytics focuses not only (and not so much) on number crunching (quantitative analysis of the data available) but also on qualitative interpretations of the data sets. Furthermore, interpretivism is sometimes expanded beyond the data sets and is applied to the contextual settings (such as the assumption in the case discussed above where the predecessing economic decline is to be. Read more

10 Feb

India’s Rural Entrepreneurs Opportunities & Challenges – An Overview

India’s most unique proficiencies and challenges beneficial by the Knowledge Process Outsourcing (KPO) makes us distinguish in the emerging world market. Rural Entrepreneurship is an important opportunity for those who like to migrate from non-urban to urban locality. Contrariwise, the fact is that most rural businesspersons facing a lot of lags due to the lack of support & services in a rural env Read more

07 Feb

UnifAI's AI outperforms traditional water sensing

Assessment of UnifAI Technology’s Artificial Intelligence Tools and Capabilities, Using Real Industry Data on Water Quality in Pipe Infrastructure. Read more

21 Dec

Hadoop and MapReduce

Apache Hadoop is a collection of utilities for open-source applications. To solve problems involving large quantities of data, they encourage using a network of several computers. It provides distributed processing and distributed computing with a software platform. Read more

17 Dec

The Concept of Data Quality and Its Importance

Data has become an essential topic in the corporate world these days. Everyone needs to talk about the knowledge and quality that can be extracted from the results. There is a good explanation for this—data is among the essential tools available to today's advertisers, agencies, marketers, media organizations, and much more. Read more

16 Dec

Leadership and what it means in challenging times

With great leadership, there is no single event or behaviour that makes your team follow and trust you. It is an accumulation of lots and lots of little things, that anyone by themselves may seem innocuous. Whilst many people look at the big audacious elements, it is consistency across the little things that really matter. Read more

14 Dec

How Data Visualization Will Evolve In Future

Data Visualization is no longer an art. With evolving cognitive frameworks, multifaceted imaging, and intelligence; data visualization is exploring different horizons to perceive vast chunks of complex data. As a digital replacement for visual communication, Data Visualization has made it easier for companies to make decisions. Read more

11 Dec

Relationship between People and Data

People analytics is raising the agenda for companies worldwide. Technology that provides companies with many more methods of collecting data from people is projected to accelerate by using this data to enhance insight into the workforce, increase business efficiency, and enhance employee experience. Read more

WHITEPAPERS

15 Feb

Data Analysis with Pandas

Looking a way to understand your data set quickly and easily, then use Pandas methods and attributes which we will walk through in this article with example on a data set.

31 Jan

DEEP LEARNING: FIGHTING COVID-19 WITH NEURAL NETWORKS

Deep learning is a part of AI which was founded on artificial neural organizations, as neural organization will reflect the human thoughts. Deep learning which a subset of Machine Learning is is making revolutions in each field it comes into play. It decreases the human work and accomplishes the work precisely than people do. It emulates the human Brain with artificial neural organizations and dom

30 Dec

TOP 10 BEST FREE AND OPEN SOURCE BACKUP SOLUTIONS

Backup is a vital process that makes the functioning of the present day businesses smooth and secure. No business can do without deploying standard backup software in their IT systems. The creation of numerous copy files, hard drive storage and database workspace helps to rescue the loss data in backup softwares. This assists the data loss and rebuilds the initial contents to the software.

24 Dec

COVID-19 ANALYTICS: Learning from the Victorian Government’s Data Analytics Failures

When the ruthless Pandemic hit the State of Victoria (Australia), the State Government placed its hopes for containing its spread on what they‘ve been referring to ‘’a highly sophisticated’’ Contact Tracing Program. Unfortunately, the initial contact tracing efforts appeared to have failed miserably as the authorities struggled to trace the virus carriers’ contacts efficiently.

05 Dec

Data Driven Business Models in FMCG & Retail

Data is the new oil/new currency. Equipped with it, upcoming organizations are disrupting established industries, and traditional businesses are transforming the way they operate. Not all organizations are equally proficient at translating data into currency, but their ability to do so is impacting their ability to compete.

28 Nov

A Cost-Effective Method for Assessment of Psychological Wellbeing of University Students

Based on these findings study affirm that the GHQ-12 is a good measure for assessing the overall psychological health of students

View All

LATEST DISCUSSION

Understanding Buzzwords in Data Science;

24 December 2020 | Mayank Tripathi

This is a well written, detailed and somewhat systematic structured source that could serve as a reference point for definitions in AI. I enjoyed going through this work and somewhat slightly disagree with the stated definition for data science.The author has done a brilliant work here

Piecewise hazard model for under-five child mortality;

06 December 2020 | Rakesh Saroj

The application of piecewise hazard model in mortality data becomes more useful in survival methods. This method is used to find the number and location cut points and to estimate the hazard model. The objective of this paper is to illustrate the piecewise constant hazard model and to find significant factors for under-five child mortality.

Aurora Serverless Data Security and its Deployment;

17 November 2020 | Balakrishnan Subramanian

In this article, Data Security acts as an important segment. This consists of certain standard levels and various technologies that are used for data protection. This helps to secure data from accidental destruction and altering disclosures. Overall, in this article Aurora Serverless data security is majorly pointed. The AWS creates Aurora, which is nothing but a cloud-native execution of RDBMS. Finally, the implementation of Aurora is “serverless”.

Machine learning tool scans lung X-rays to predict heart fai;

05 October 2020 | Stefan Stoyanov

One of the ways physicians can gain some forewarning of impending heart failure is through the detection of excess fluid in the lungs, and MIT researchers have developed a new machine learning tool that could offer them a helping hand. The algorithm is able to detect severe cases of this condition with a high level of accuracy, and the researchers behind it are hopeful it could be adapted to assist with the management of other conditions, too. Learn more here: https://bit.ly/2HQaKR4

Data set for content-based package selection in the telecom;

26 September 2020 | Thisal Avishka Wijayasekara

I have a Data Cloud Lab and Github too, Ready to contribute someone like you. please send me your resume at darrajit@gmail.com. I will find out your solution. Thank you

Real Time Data Analytics: Mitigating the Risks and the Challenges;

20 September 2020 | Michael Baron

Agree, with the time researchers has found various tools and techniques that today one can do real time data analysis, but again it depends on the person, how (s)he will be using the tools and techniques with respect to the creativity. As to achieve there could be multiple ways, to use right weights & parameters are the most effective part of it.Thanks for sharing this valuable information.

Explaining the fundamentals of the P-value;

05 August 2020 | Abhishek Mishra

Many times, I have seen data science professionals who know very well what is p-values but they struggle to explain it. I have also seen many professionals who don’t want to get into technical details but want to know more and understand why it is so important.

GULP: A DEVOPS Based Tool for Web Applications;

24 July 2020 | Balakrishnan Subramanian

This article is very informative and the steps which are been soon can be easily approcable .A lit more effective and efficient way the author tries to summarise the step here.

Ensemble Machine Learning Explained in Simple Terms;

19 July 2020 | Fatai Anifowose

That's a good article and very well explained.I was using EML without realizing it... in form of Random Forest Algorithm.

Membership Drive;

16 July 2020 | Mohammed Khursheed Akhtar

It is really very excellent and eye-catching website. Thanks Nr. Chris for your kind gestures and support to grant me full membership status. I will try my level best to do some extraordinary things for Data Science. Inshaa Allah (God Willing).

INNOVATING THE LEARNING EXPERIENCE THROUGH EDUCATIONAL TECHNOLOGY: A DIGITAL INSIGHT;

03 July 2020 | Balakrishnan Subramanian

The Next Generation Digital Learning Environment (NGDLE) is considered as a ecosystem - a learning situation comprising of learning apparatuses and segments that stick to normal guidelines. While the customary Learning Management System (LMS) gives regulatory capacities, the NGDLE is planned to straightforwardly bolster learning.

Data Science and Econometrics;

29 June 2020 | Olawale Akintunde

What is the correlation between Data Science and Econometrics.I have been thinking to find out if Data Science can stand alone without Econometrics. Will it rather be wise to say Econometrics forms a better modelling blocks on which Data Science thrive. I will like to know the correlation between this two fields. Thanks

Knowing all about Outliers in Machine Learning;

23 June 2020 | Mayank Tripathi

One more thing which i missed in the article, that presence of outliers affects the distribution of the data. Let's examine what can happen to a data set with outliers. For the sample data set: 1, 1, 2, 2, 2, 2, 3, 3, 3, 4, 4 We find the following: mean, median, mode, and standard deviation Mean = 2.58 Median = 2.5 Mode = 2 Standard Deviation = 1.08 If we add an outlier to the data set: 1, 1, 2, 2, 2, 2, 3, 3, 3, 4, 4, 400 The new values of our statistics are: Mean = 35.38 Median = 2.5 Mode = 2 Standard Deviation = 114.74 It can be seen that having outliers often has a significant effect on the mean and standard deviation and hence affecting the distribution. We must take steps to remove outliers from our data sets. One of the easiest way to handle this is log transformation.Hope this information will help you.

Underfitting and Overfitting in Machine Learning;

16 June 2020 | Mayank Tripathi

Very nice explanation of a very common problem. Examples are given in such a way that any one can understand easily. Also remedies for under fitting and over fitting are given in a structured manner.keep it up.

The Rise in Artificial Intelligence Makes Emotional Intelligence More Important;

10 June 2020 | Balakrishnan Subramanian

Emotions and Intelligence are a co-related phenomenon; therefore emotions must be taken into consideration for designing truly intelligent agent. Emotional intelligence has emerged as an important area of research in artificial intelligence covering wide range of real-life domains. In this article, we will focus on emotional intelligence research with an emphasis on areas such as Emotion detection, Emotional agents, Text emotion detection, Modeling artificial agent’s environments.

View All

LATEST NEWS

Sony patents AI that adjusts gameplay difficulty when you’re struggling

07 February 2021

If battles with video game bosses make you throw your controller at the wall, Sony is working on a new AI feature that could make your future foes more beatable.

Top 7 Big Data Trends to Dominate 2021

04 February 2021

With the rapid growth of big data, emerging trends like cloud computing, actionable data, hyperautomation, and cloud automation will be the deciding factors to reshape how businesses function in 2021.

AI in the EU: Balancing benefit and control

02 January 2021

The definition of AI should come down to its application, with risk assessments focusing on the intended use of the application and the type of impact resulting from the AI function.

ARTIFICIAL INTELLIGENCE IN 2021: ENDLESS OPPORTUNITIES AND GROWTH

02 January 2021

Moving into 2021, Artificial Intelligence will keep on going about as a principle technological pioneer for years to come.

Teesside energy firm seals deal with global tech AI company

22 December 2020

A Teesside energy firm has completed a deal with a global tech firm which could help process industry firms cut costs by millions.

AI will take away lots of jobs. And we are nowhere near ready to replace them

22 December 2020

The scale of the challenge that automation poses to the jobs market needs to be met with much stronger action to up-skill the workforce, finds a new report published by a committee in the UK Parliament.

Japan to fund AI matchmaking to boost birth rate

16 December 2020

From next year it will subsidise local governments already running or starting projects that use AI to pair people up. Last year the number of babies born in Japan fell below 865,000 - a record low. The fast-greying nation has long been searching for ways to reverse one of the world's lowest fertility rates. Boosting the use of AI tech is one of its latest efforts.

AI can predict Twitter users likely to spread disinformation before they do it

16 December 2020

A new artificial intelligence-based algorithm that can accurately predict which Twitter users will spread disinformation before they actually do it has been developed by researchers from the University of Sheffield.

Machine Learning 101: Part 1

25 November 2020

The purpose of this series of articles is to provide a complete guide (from data to predictions) to machine learning, for .NET developers in a .NET ecosystem, and that is possible now using Microsoft ML.NET and Jupyter Notebooks. Even more, you don’t have to be a data scientist to do machine learning.

AI Machine Learning Innovation to Develop Chemical Library for Drug Discovery

25 November 2020

Purdue University innovators have introduced chemical reactivity flowcharts to help chemists interpret reaction outcomes using statistically robust machine learning models trained on a small number of reactions. The work is published in Organic Letters.

Fujitsu labs takes machine learning record

25 November 2020

Fujitsu Labs has achieved the highest performance on the MLPerf HPC benchmark, which measures large-scale machine learning processing on supercomputers.

TOP 6 MACHINE LEARNING TRENDS OF 2021

25 November 2020

With the surge in demand and interest in these technologies, various new patterns are ascending during this space. Simply if you’re a tech capable or related to innovation in some capacity, it’s exciting to see what’s next inside the space of machine learning.

Exploring The Power Of Data In Quantum Machine Learning

25 November 2020

Quantum computers have the capability to develop quantum machine learning algorithms. These algorithms can achieve better performance for modeling quantum-mechanical systems such as molecules, catalysts, or high-temperature superconductors. Since it is difficult for classical computers to handle the interference of the exponentially evolving states in the quantum world, quantum computers are expected to have an advantage in quantum originated-machine learning problems. The quantum advantage extends to machine learning problems in the classical domain, for example, computer vision or natural language processing.

Machine learning: A breakthrough in the study of stellar nurseries

25 November 2020

Artificial intelligence can make it possible to see astrophysical phenomena that were previously beyond reach. Astronomers present the most comprehensive observations yet carried out of one of the star-forming regions closest to the Earth.

Luko and Shift Technology Apply Artificial Intelligence to the Fight Against Fraud

25 November 2020

Shift Technology, a provider of AI-native fraud detection and claims automation solutions for the global insurance industry today announced its fraud detection technology has been selected by digital native neo-insurance company Luko.

View All

INFORMATION ON DATA SCIENCE

The Data Science Foundation is committed to improving decision making. We believe that the use of data can improve decision making, but only if the social and environmental impact of decisions are evaluated alongside the knowledge and insight created though analytics. We work hard to help our members improve their decision making. To make good decisions today and to make better decisions tomorrow.

BIG DATA

We help organisations new to evidence-based decision making; collect, process and analyse data. We help them appreciate the meaning hidden in their data so that they can understand more about the landscape in which they operate. We then help organisations who already have the expertise to collect data and create insight, to consider the moral implications of their actions. To think about the social and environmental impact of what the data might suggest is the best possible course of action.

MEMBERSHIP

Individual (2085)

Join the DSF

Organisational (93)

University (18)

WHITEPAPERS

LATEST DISCUSSION

LATEST NEWS

INFORMATION ON DATA SCIENCE

Meetup Groups

Manchester

London

BIG DATA