How Python Helps To Protect Data from Hackers Attacks
In this article, we will tell you 7 Facts that you don’t already know about Python. With little effort, a hacker can create a script of less than 100 lines that creates a persistent weakness. So, that even if you kill the process, it will start itself back up, establish a backdoor, obfuscate communications both internally and with external servers. Read more
Explaining the fundamentals of the P-value
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
How to Become Data Scienitst
Data science is the study of data, it may be structured or unstructured. It involves understanding, extracting values and visualising data. Various machine learning algorithms and statistical methods are used for this. It’s the hottest topic of 21st century and the goal is to predict the information from the existing data. Read more
GULP: A DEVOPS Based Tool for Web Applications
Gulp is used by software development teams as the streaming build system with which a number of tasks can be programmed and automated in an effective way. Read more
Understanding Silhouette Scoring
Clustering is bringing together a group of similar things or objects and silhouette is an important factor that helps in selecting the number of clusters. It is measured within the range [-1,1]. Silhouette coefficients close to +1 suggest the sample is distant from the neighboring clusters. A value of 0 means that the sample is between two adjacent clusters on or very close to the decision boundary and negative indicated wrong cluster assignment for that sample. Read more
AI and ML: Are they one and the same?
But while AL and ML fall into the same domain, they are significantly different – with each having a specific application and outcome. And as more and more businesses start to question whether these tools may benefit them, we thought it was time to get to the bottom of what makes them different. Read more
Understanding the Rising Data Dimension Reduction Hero t-SNE
t-SNE is a powerful algorithm that reduces the dimentions in high dimension data to enable visualizing the data via scatter plots, histograms, or boxplot which allow for a quick understanding of the patterns of the data Read more
New Version of the John Snow Labs Healthcare AI Platform
John Snow Labs is thrilled to announce the immediate availability of the new major version of the Healthcare AI Platform. This release raises the bar on the industry’s only “cleanroom” AI platform that is designed for high-compliance industries where PHI or PII data is analyzed: Read more
VISIMO Chosen To Deliver Project Coeus
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). Read more
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
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.
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”.
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.
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.
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.
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.
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
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 fieldREAD MORE
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!DennisREAD MORE
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-projectsREAD MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
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.READ MORE
Innovations in artificial intelligence technology are continuing to pave the way for financial markets to experience a period of progression rather than turbulence.READ MORE
Supervised algorithms require lots of data, and often result in shaky predictions. Is it time for the next stage of AI?READ MORE
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.READ MORE
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.READ MORE
Researchers demonstrated a technique that converts malware binary form into grayscale images, which are scanned by an image pattern recognition algorithm.READ MORE
GPU maker offers turnkey approach to homegrown conversational AI that promises more human-like interactions, demoed via raindrop-shaped chatbot named MistyREAD MORE
Data scientists are much in demand. But there’s a gender gap.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.