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05 Jul

VISIMO Chosen To Deliver Project Coeus

21 Jun

Lab Uses Global Market, Social and Technological Advances to Help Create the Next Generation of BIC Products

BIC, a world leader in stationery, lighters, and shavers, is partnering with technology company Iprova to launch the BIC-Iprova Invention Lab to enhance BIC’s Innovation and Research & Development (R&D) capability. Using Iprova’s machine learning-based, data-driven approach to invention, the Lab will help BIC anticipate and answer rapidly changing consumer needs with unexpected inventions that will benefit consumers. BIC is the first company to build an in-house data-driven invention lab using Iprova’s technology. Read more

21 Jun

Data Science Concepts and Techniques with Applications

As this textbook is about data science, the first question it immediately begs is: What is data science? It is a surprisingly hard definition to nail down. However, for us, data science is perhaps the best label for the cross-disciplinary set of skills. It comprises three distinct and overlapping areas: firstly, statistician who knows how to model and summarize the data, data scientist who can design and use algorithms to efficiently process the data, and finally the domain expert who will formulate the right questions and put the answers in context. Read more

21 Jun

Detection Transformers(DETR) an innovative new method for object detection

The NLP Transformer is a novel architecture intended to solve sequence-to-sequence tasks while managing long-range dependencies. Capturing relationships in sentences and the sequence of words as such is vital for a machine to understand a natural language. That is vital role of transformers in Natural Language Processing (NLP). Detection Transformers (DETR) an innovative new method for object detection. Read more

09 Jun

Five Top User Experience (UX) Trends 2020

Users are and perhaps have always been the most important judges of our development projects. They use our products with either a fierce appreciation or a saddened abandon, but in each case, they identify for us what works and what doesn’t. Read more

09 Jun

John Snow Labs Announces NLP Summit in Response to Growing Demand for Applied Natural Language Processing

John Snow Labs, developer of the Spark NLP library, will host its first virtual summit for the fast-growing NLP community from Tuesday, October 6 through Friday, October 16. Read more

07 Jun

IOT Based Intelligent Acoustician Microphone

Intelligent Acoustician Microphone is an IOT based intelligent and adaptable system, which can be used by all people with neuro development disorders. Read more

05 Jun

Post Covid 19 — Data Science Evolving in Real Estate Too

The following article describes the use of AVM: Automation Valuation model in real estate by implementing advanced analytics, like machine-learning models, to research many alternative knowledge points for a given property to predict a property’s current or future worth. Read more

04 Jun

Three Ways Data Scientists are Fighting COVID-19

Data scientists in academia, non-profits, and the government have come together to track and respond to the economic & humanitarian impacts of the coronavirus. Read more

01 Jun

5 Key Challenges In Today’s Era of Big Data

We are currently in the middle of an AI renaissance, driven by big data and breakthroughs in machine learning and deep learning. These breakthroughs offer opportunities and challenges to companies depending on the speed at which they adapt to these changes. Read more

WHITEPAPERS

28 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”.

12 Jun

Underfitting and Overfitting in Machine Learning

Machine learning developers often encounter models that perform well on a data set, but dont live up to expectations when used on unseen or test data. This problem is called Overfitting. If you would like to learn more about Overfitting and how to avoid it, read on.

07 Jun

The Rise in Artificial Intelligence Makes Emotional Intelligence More Important

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.

02 Jun

What have the changes made to primary and secondary assessment frameworks done to the ‘London effect’ in school performance?

This paper examines whether the so-called ‘London effect’, in which London’s schools improved rapidly and outperformed the rest of England on key performance measures between 2003 and 2013, has persisted through the high levels of change that have continued to characterise the school system in England since 2013.

02 Jun

The transformational shift in educational outcomes in London 2003 to 2013: the contribution of local authorities

The paper explores the transformational shift in educational outcomes in London between 2003 and 2013. London’s schools have improved rapidly over the past decade, with primary and secondary schools now out-performing the rest of the country, at Key Stages 2 and 4, respectively. Improvements in many London boroughs have been staggering.

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LATEST DISCUSSION

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

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

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

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.

Open Source Solutions for Building Your Own Storage Area Network and Network Attached Storage;

25 May 2020 | Balakrishnan Subramanian

Very good informative and knowledgeable article for the learners to learn and get the ideas of the working of the different types of setup which are been used over here.Very nice work.

Understanding Decision Trees with Python;

21 May 2020 | Mayank Tripathi

very nice paper for getting kick start. also choice of data set (iris data set) for explanation is also good as it is a well known bench mark data set and easy to understand as well. keep it up

Five ways Walmart uses big data;

29 April 2020 | Balakrishnan Subramanian

How does Walmart use big data? By analyzing customer preferences and shopping patterns, Walmart can optimize how to stock shelves and display merchandise. Big data also provides insight into new items, discontinued products and which brands to carry, the blog said.

The 10 Algorithms Machine Learning Engineers Need to Know;

29 April 2020 | Balakrishnan Subramanian

Machine Learning Algorithms Linear Regression. To understand the working functionality of this algorithm, imagine how you would arrange random logs of wood in increasing order of their weight. ... Logistic Regression. ... Decision Tree. ... SVM (Support Vector Machine) ... Naive Bayes. ... KNN (K- Nearest Neighbors) ... K-Means. ... Random Forest.

Analytics and Emails – Spam;

28 April 2020 | Ajit Singh

Go to the admin section in your Google Analytics (the gear icon at the bottom left corner), Under the View column (master view), click the button “Filters” (don’t click on “All filters“ in the Account column): Click the red button “+Add Filter” (if you don’t see it or you can only apply/remove already created filters, then you don’t have edit permissions at the account level. Ask your admin to create them or give you the permissions.): Then follow the specific configuration for each of the filters.

How to build the internal reputation of your insight team;

28 April 2020 | Paul Laughlin

Here are five strategies for promoting your personal brand internally: Get your boss to help with visibility. ... Join (or start) an ERG. ... Volunteer for a cross-departmental activity. ... Promote your company's brand. ... Leave your desk.

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LATEST NEWS

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.

VISIMO Chosen to Deliver Project Coeus

05 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.

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.

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.

Tapping into the Human Side of AI

14 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.

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?

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.

For U.S. economy, the bottom may be here, but the rebound is slow so far

05 June 2020

The U.S. economy may have hit its low point in the coronavirus crash but the rebound so far remains tepid, according to both broad indexes of activity and higher frequency counts of cellphone data and employee time information.

Intel, Microsoft Use Deep Learning To Detect Malware

01 June 2020

Researchers demonstrated a technique that converts malware binary form into grayscale images, which are scanned by an image pattern recognition algorithm.

Nvidia Gets ‘Misty’ Over Conversational AI

24 May 2020

GPU maker offers turnkey approach to homegrown conversational AI that promises more human-like interactions, demoed via raindrop-shaped chatbot named Misty

Women in Data Science: Moving from Inclusion to Influence

20 May 2020

Data scientists are much in demand. But there’s a gender gap.

Our weird behavior during the pandemic is messing with AI models

13 May 2020

Machine-learning models trained on normal behavior are showing cracks —forcing humans to step in to set them straight.

Future Impact of COVID-19 on the Global Big Data Analytics Industry - Major Drivers and Restraints - ResearchAndMarkets.com

07 May 2020

This research measures the future impact of COVID-19 on the global Big Data Analytics (BDA) market. The embedded ecosystem has led to a hyper-connected world and the growth of the Internet of Things (IoT). Thanks to ubiquitous networks, IoT has connected all manner of endpoints and unveiled a treasure trove of data.

How policymakers should use the wealth of COVID-19 data

23 April 2020

The world has not known, in living memory, a pandemic on the scale of what we are experiencing with COVID-19.

Governments must build trust in AI to fight COVID 19 – Here is how they can do it

23 April 2020

AI has become a key weapon in tracking and tracing cases during this pandemic. Deploying those technologies has sometimes meant balancing the need to conquer the virus with the conflicting need to protect individual privacy.

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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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