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
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
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
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
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
Town in Portugal pioneers the use of AI in maintaining swimming pools
Celorico de Basto become the first municipality in Portugal to successfully use Artificial Intelligence to maintain clean and healthy swimming pools Read more
Basic Overview of SVM Algorithm
Want to learn about the popular algorithm known as SVM? This article explains what SVM is, and how it works. Read more
How Data Science Is Helping To Combat Coronavirus Pandemic
The rapid expansion and global effect of COVID-19 will make people feel uncertain and fearful as the novel coronavirus continues to escalate and causes them to alter many aspects of their daily lives. Read more
Big Data Cloud Mining and Management
Big Data is the expanding challenge faced by companies as they interact with vast and fast-growing data or knowledge sources that often bring a complicated set of problems for evaluation and usage. Read more
Interested in Converting your Academic Skills into a Career in Data Science?
Science to Data Science (S2DS) is Europe’s largest data science training programme. We offer five weeks of intensive, project-based training turning exceptional analytical PhDs and MScs into Data Scientists. Read more
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.
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.
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.
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
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.
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.
Good job explaining the ''buzzwords''. It is lack of common interpretation of the Data Science terminology that often leads to misunderstandings among the scholars.READ MORE
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.READ MORE
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
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/2HQaKR4READ MORE
I have a Data Cloud Lab and Github too, Ready to contribute someone like you. please send me your resume at email@example.com. I will find out your solution. Thank youREAD MORE
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.READ MORE
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.READ MORE
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.READ MORE
That's a good article and very well explained.I was using EML without realizing it... in form of Random Forest Algorithm.READ MORE
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).READ MORE
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.READ MORE
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. ThanksREAD MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
Moving into 2021, Artificial Intelligence will keep on going about as a principle technological pioneer for years to come.READ MORE
A Teesside energy firm has completed a deal with a global tech firm which could help process industry firms cut costs by millions.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
A publication headed by a Purdue administrator is contributing information via a journal’s special issue on artificial intelligence and well-being related to the COVID-19 pandemic. The issue is temporarily free to public download.READ MORE
The ability to convert excess green electricity into hydrogen is projected to be a “game-changer”, while AI algorithms – with their use within the 'internet of things', sensors and big data – can help stabilise central grids and increase dispatch efficiency, the consultancy said in its biannual EY Renewable Energy Country Attractiveness Index.READ MORE
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.
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.