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.
Good job explaining the ''buzzwords''. It is lack of common interpretation of the Data Science terminology that often leads to misunderstandings among the scholars.
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.
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”.
Machine learning tool scans lung X-rays to predict heart fai
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
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.
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 you
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.
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
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
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.
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
Dear colleagues,I publlished an article with the above title in the online newsletter of the Society of Petroleum Engineers. This is the latest in the series of such short pieces to explain machine learning foundational principles to petroleum engineers and to encourage its application.I thought it might equally be of benefit to someone here.The link to the article is here: https://pubs.spe.org/en/twa/twa-article-detail/?art=7313I will appreciate your feedback.
That's a good article and very well explained.I was using EML without realizing it... in form of Random Forest Algorithm.
People & Leadership
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).