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Share your knowledge and expertise and help others make better decisions

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

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Promote the ethical and responsible use of data and artificial intelligence

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Provide course information, recruit new students and publish research papers

21 Nov

Tuning artificial intelligence to enrich quantum insights

This article provides a very brief introduction about traditional and quantum computers, an overview of quantum systems, quantum computation components and algorithms, quantum computing for artificial intelligence and artificial intelligence for quantum computing. Read more

19 Nov

3 Ways Big Data Is Helping To Shape Post-Pandemic Ecommerce

Following the COVID-19 pandemic, more people are connecting with eCommerce than ever before in the history of the internet. This is both good and bad news. Here are some emerging trends in eCommerce. Read more

17 Nov

Aurora Serverless Data Security and its Deployment

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”. Read more

05 Nov

A Comparison between Logistic Regression and Decision Tree Methods for Predicting the Preterm Birth

Pre-term birth is a progressively more prevalent complex situation with various risk factors including environmental pollutants. We have been tested the logistic regression and decision tree classifier methods in this dataset and to evaluate the accuracy of the logistic regression and decision tree method through various indices. Read more

27 Oct

Adopting Qualified AI Algorithms to Optimize Regulated Pharma Manufacturing

Never has it been more important to ensure that the pharmaceutical productivity chain is functioning as optimally as possible. For the first time ever, artificial intelligence (AI) algorithms have been qualified, both for pharmaceutical as well as medical device manufacturing. Read more

26 Oct

Unstructured data provides equal risk and opportunities for businesses

This article aims at highlighting where unstructured data comes from, why it’s so hard to pin down, the risks of not securing unstructured data, and the rewards of bringing that data into a structured environment. Read more

25 Oct

Big Data & AI World: Finance & Banking Virtual Summit 27 October 2020

The Big Data & AI World: Finance & Banking Virtual Summit is taking place on 27 October 2020. It’s an interactive 1-day digital event, which consists of inspirational keynotes, case-study based presentations and fiery panel discussions. Read more

25 Oct

Poole Harbour goes live with an Artificial Intelligence world first

The first phase of Bournemouth, Christchurch and Poole (BCP) Council and Poole Harbour Commissioners’ innovative AI water quality sensing project, in partnership with UK AI company UnifAI Technology, has gone live this month. Read more

18 Oct

Modern Enterprise Data Management in Healthcare

There are proven data and information governance methods and frameworks in existence, but still today, the question is : are they capable enough to promise a fast-advancing but stable, secure and efficient framework for Data Management in an organization? Read more

18 Sep

Mentoring an Apprentice – What are The Best Practices?

How best to implement a mentoring program in an organisation; an effective apprenticeship-mentoring case study. Read more

WHITEPAPERS

09 Nov

Piecewise hazard model for under-five child mortality

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.

21 Sep

Understanding Imbalanced Datasets and techniques for handling them

Imbalanced datasets contain valuable data that is often lost in data techniques that aim to balance datasets. In this article, we will look at what an Imbalanced dataset is and various techniques that can be used to handle imbalanced datasets.

09 Sep

Real Time Data Analytics: Mitigating the Risks and the Challenges

While practical benefits of the Real-time data analytics over historic data analytics are obvious, it is also essential to understand and cater for its risks, challenges and limitations.

01 Aug

Understanding Buzzwords in Data Science

Have you come across Data Science jargon and buzzwords such as Artificial intelligence (AI); Machine Learning (ML); Deep Learning (DL); Neural Network (NN) etc.. want to know more about them and how each of them differ? If so then checkout this article, which will give you a brief idea what these are.

29 Jun

INNOVATING THE LEARNING EXPERIENCE THROUGH EDUCATIONAL TECHNOLOGY: A DIGITAL INSIGHT

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.

16 Jun

Knowing all about Outliers in Machine Learning

While working on various dataset to train a Machine Learning model. What is it, that you look for? What is the most important part of the EDA phase? There are certain things which, if they are not done in the EDA phase, can affect further statistical / Machine Learning modelling. One of the answers is to, find “Outliers”.

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LATEST DISCUSSION

Aurora Serverless Data Security and its Deployment;

17 November 2020 | Balakrishnan Subramanian

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

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.

The Role of Data Science in Big Data Analytics;

03 June 2020 | Balakrishnan Subramanian

As the volumes of data increase each day, organisations are begining on Data Science and Data Analytics to make sense of it. This article is a basic introduction to those new to the field

Looking for Health Informatics & Data Analytics Project Idea;

01 June 2020 | Dennis David

Good day!I would like to ask for some ideas related to Health Informatics that I can pursue for my capstone project for my graduate-level Health Informatics and Health Information Management. My ideal project will be data analytics, but open to any health informatics-related project ideas. I appreciate your input.Be safe and stay healthy!Dennis

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LATEST NEWS

Job Ads for AI Could Soon Look Like This. Are You Ready?

19 November 2020

This technology is very much within reach. When we do reach it, we’ll have a new, expansive field for human workers. Soon, it will be time to write a job description, but only once we figure out some crucial problems.

Interagency Committee Issues Recommendations for Using Cloud to Accelerate Artificial Intelligence

19 November 2020

The Select Committee on Artificial Intelligence outlined ways agencies can approach commercial cloud computing for research and development.

Smarter Artificial Intelligence Technology in a New Light-Powered Chip

19 November 2020

Researchers have developed artificial intelligence technology that brings together imaging, processing, machine learning, and memory in one electronic chip, powered by light.

Opening the black box: reporting on algorithms, big data and artificial intelligence

19 November 2020

As tech becomes more mainstream, journalists are challenged to report on complex subjects for their readers. Seasoned tech reporters offer advice on how to broach the topic

The role of Artificial Intelligence in modern businesses and marketing

19 November 2020

Among all the new innovations, the role of artificial intelligence (AI) has become more important. This technology helps businesses to save money as well as time whether it comes to marketing or operating various activities of the businesses. Here, we are going to show you how AI is very essential for modern businesses.

How AI can help combat slavery and free 40 million victims

15 November 2020

Using analytics that can spot hidden connections between otherwise seemingly disconnected individuals means that next-generation know your customer (KYC) checks can more reliably flag the signs of deception and exploitation and escalate to law enforcement if necessary.

“Data Trusts” Could Be the Key to Better AI

15 November 2020

One of the greatest barriers to adopting and scaling AI applications is the scarcity of varied, high-quality raw data. To overcome it, firms need to share their data. But the many regulatory restrictions and ethical issues surrounding data privacy pose a major obstacle to doing this.

Researchers speed power grid simulations using AI

11 November 2020

A new software application called the Smart Power Grid Simulator (Smart-PGSim) uses neural networks, a type of artificial intelligence (AI), to efficiently solve power grid simulations crucial for planning and optimizing electricity delivery.

Skills development in Physical AI could give birth to lifelike intelligent robots

11 November 2020

The research suggests that teaching materials science, mechanical engineering, computer science, biology and chemistry as a combined discipline could help students develop the skills they need to create lifelike artificially intelligent (AI) robots as researchers.

AI and ML Leads the Trend in Technologies that will Fill the Cybersecurity Skills Gaps

08 November 2020

As the shortage of skilled cybersecurity professionals intersects with the change and sophistication of the threat landscape, AI and ML will be leveraged to fill the gaps, according to a new Osterman survey and report.

Top 10 Artificial Intelligence Research Labs in the World

08 November 2020

Artificial intelligence is continuously evolving and propagating across every industry. Here’s a look at the top 10 AI Research Labs in the world that are leading the research and development in AI and related technologies.

Bigfinite is Now Aizon

29 October 2020

The new brand reinforces the company’s strength with pharma while expanding to other highly-regulated industries with industrial-grade, GxP artificial intelligence and data solutions.

IBM and Pfizer Believe Machine Learning Can Predict Alzheimer’s Risk

23 October 2020

Researchers with Pfizer and IBM developed an artificial intelligence (AI) model that they claim can predict the eventual onset of Alzheimer’s disease with 71% accuracy based on a language sample.

A machine-learning algorithm that can infer the direction of the thermodynamic arrow of time

23 October 2020

Researchers at University of Maryland developed a machine learning algorithm that can infer the direction of the thermodynamic arrow of time in both macroscopic and microscopic processes. This algorithm, presented in a paper published in Nature Physics, could ultimately help to uncover new physical principles related to thermodynamics.

Machine Learning and AI Can Now Create Plastics That Easily Degrade

23 October 2020

A combination of machine learning and artificial intelligence has accelerated the design of making materials, including plastics, with properties that quickly degrade without harming the environment and super-strong lightweight plastics for aircraft and satellites that would one day replace the metals being used.

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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.

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