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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

WHITEPAPERS

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LATEST DISCUSSION

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

26 September 2020 | Thisal Avishka Wijayasekara

Dear team, I am working on a research based on content-based package selection in the telecom industry. So I want to get a data set based on customer usage of their package. I mean internet usage, voice usage etc. Can you please give me a support. Anyone have that type of a data set, can you please share with me.

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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.

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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.

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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.

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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.

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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).

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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.

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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

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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.

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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.

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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.

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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

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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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Looking for Data Science Projects 2020;

26 May 2020 | Shivam Bhatele

1. Sentiment Analysis2. Recognizing the face news3. Detection of the Parkinson disease4. Recognizing the speech emotions5. Age and Gender Detection6. OLA data analysis7. Credit Card Fraud Detection8. Recommended Movie9. Customer segmentation10. Classifying Breast CancerHere are the top 10 data science project which are listed one of my friend, want to know more about these visit here: https://hackr.io/blog/data-science-projects

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An Overview of Autopsy: Open Source Digital Forensic Platform;

25 May 2020 | Balakrishnan Subramanian

Digital forensics refers to the way toward recouping information from computerized gadgets, from PC hard drives to cell phones. This movement is frequently connected with criminal or common investigations.

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LATEST NEWS

Provably exact artificial intelligence for nuclear and particle physics

26 September 2020

Researchers show how incorporating the symmetries of physics theories into machine learning and artificial intelligence architectures can provide much faster algorithms for theoretical physics.

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Researchers use Artificial Intelligence in predicting loneliness

26 September 2020

Researchers at the University of California San Diego School of Medicine used artificial intelligence technologies to analyze natural language patterns (NLP) to discern degrees of loneliness in older adults.

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Artificial intelligence detects osteoarthritis years before it develops

23 September 2020

A machine-learning algorithm that can detect subtle signs of osteoarthritis and patients could one day be treated with preventative drugs rather than undergoing joint replacement surgery.

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Artificial intelligence expert originates new theory for decision-making

23 September 2020

How should people make decisions when the outcomes of their choices are uncertain, and the uncertainty is described by probability theory?

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ELON MUSK CLAIMS AI WILL OVERTAKE HUMANS 'IN LESS THAN FIVE YEARS'

30 July 2020

The prediction marks a significant revision of previous estimations of the so-called technological singularity, when machine intelligence surpasses human intelligence and accelerates at an incomprehensible rate.

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Here’s why AI didn’t save us from COVID-19

25 July 2020

When the COVID-19 pandemic began we were all so full of hope. We assumed our technology would save us from a disease that could be stymied by such modest steps as washing our hands and wearing face masks.

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EU Bishops highlight ethical foundations of AI

24 July 2020

European Bishops urge the European Union to embrace a human-centric approach in its continued deliberations on the use of Artificial Intelligence.

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VISIMO's Abstract Accepted to the 2020 Military Health System Research Symposium (MHSRS)

08 July 2020

Over 1,800 abstracts spanning more than 50 Warfighter related topic areas were accepted for oral or poster presentation at the 2020 Military Health System Research Symposium. Although the meeting was cancelled due to COVID-19, the accepted abstracts having author permission are now available on-line through the homepage of the MHSRS website. VISIMO's abstract (ID: MHSRS-20-01758) titled "Integration of Wearables Data and Subject Matter Expertise in a Military Risk Reduction Setting" was accepted to the "Wearable Sensors for Human Monitoring" category and was to be presented by Dr. Robert Powers (PhD, Carnegie Mellon University) and co-authored by VISIMO employees Dr. Robert Powers, PhD., Mr. Constantine Mintas, JD., Mr. Alexander Heit, MPA,, and Mr. Jacob Leisey-Bartsch, MA.

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Could AI be the future of European Defence?

07 July 2020

The European Defence Agency has set its sights on developing artificial intelligence (AI) to strengthen the EU’s defence forces in the near future. This is in line with calls from Germany in May to create a European Defence Union within the next ten years.

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VISIMO Chosen to Deliver Project Coeus

06 July 2020

VISIMO, a leading provider of artificial intelligence and machine learning solutions, has been selected by the Autonomy Research Collaboration Network (ARCNet) and the Air Force Research Lab (AFRL) to deliver Project Coeus, a joint effort for the U.S. Army Futures Command Artificial Intelligence Task Force (AFC AITF) and the Joint Test Resource Management Center (TRMC). Coeus will serve as the Department of Defense’s (DoD’s) state-of-the-art collaboration tool, a secure “Open Community Data Science Platform” to support autonomy and artificial intelligence (AI) requirements, significantly increasing the effectiveness of researchers and data science technicians within the DoD.

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How Being A Data Science Generalist Can Be Beneficial In This Uncertain Time

02 July 2020

Data science has been no more a luxury for companies — this COVID-19 pandemic has forced companies to rely on data-driven strategies, and thus made data science a key aspect in running businesses.

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Can AI Tech Innovations Fix a Broken Economy?

21 June 2020

Innovations in artificial intelligence technology are continuing to pave the way for financial markets to experience a period of progression rather than turbulence.

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Tapping into the Human Side of AI

15 June 2020

As an emerging technology, AI faces and will continue to face its fair share of challenges. On the one hand, consumers remain wary about adopting new tech.

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AI has a big data problem. Here's how to fix it

10 June 2020

Supervised algorithms require lots of data, and often result in shaky predictions. Is it time for the next stage of AI?

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DataRobot Partners With Boston Consulting on AI Deployments

10 June 2020

DataRobot, the automated machine learning software vendor, continued its string of acquisitions this week with a deal to buy Boston Consulting Group’s AI technology platform.

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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.