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Data Science Foundation Whitepapers

The whitepapers published on this site have been written by members of the Data Science Foundation and are open to peer review by other members.

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CATEGORY: Data Science

Survey on Covid 19 Vaccination in India

A DSF Whitepaper
08 June 2021
Vansh Jatana
Views (984)

Vaccination is a long-term process. But as Covid-19 is spreading at a very high rate and we can get saved by this deadly virus by taking a vaccine. Normally it takes 10-15 years for manufacturing to be fully approved by the government. As a concern, vaccines are only approved as emergency cures. Vaccines are always fully tested with multiple layers of clinical trials Read More

TOP 10 BEST FREE AND OPEN SOURCE BACKUP SOLUTIONS

A DSF Whitepaper
30 December 2020
Balakrishnan Subramanian
Views (42533)

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. Read More

A Cost-Effective Method for Assessment of Psychological Wellbeing of University Students

A DSF Whitepaper
28 November 2020
Rakesh Saroj
Views (851)

Based on these findings study affirm that the GHQ-12 is a good measure for assessing the overall psychological health of students Read More

Piecewise hazard model for under-five child mortality

A DSF Whitepaper
09 November 2020
Rakesh Saroj
Views (2453)
Comments (0)

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

Understanding Imbalanced Datasets and techniques for handling them

A DSF Whitepaper
21 September 2020
Mayank Tripathi
Views (15062)

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. Read More

Understanding Buzzwords in Data Science

A DSF Whitepaper
01 August 2020
Mayank Tripathi
Views (9417)
Comments (3)

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. Read More

Statistical Testing - Understanding Which Testing Methods to Use

A DSF Whitepaper
03 May 2020
Abhishek Mishra
Views (12200)

Data Science, Machine Learning, Artificial Intelligence, Deep Learning - You need to learn the basics before you become a good Data Scientist. Math and Statistics are the building blocks of Algorithms for Machine Learning. Knowing the techniques behind different Machine Learning Algorithms is fundamental to knowing how and when to use them. In this paper, we will look at statistics as a concept. What are the different tests and most important, ‘When to use which test?’. ... Read More

The art of Learning to Learn by using the Power of Meta-Learning in AI

A DSF Whitepaper
08 March 2020
Abhishek Mishra
Views (2291)
Comments (2)

Machine learning is a fast-paced area and many types of research are ongoing. One of the fastest growths can be seen in the area of Meta-learning. As it is becoming more popular and more meta-learning techniques are being developed, it is important to understand this area of data science. Meta-learning caught my attention somewhere back in 2018 Read More

Evolving Role of Data Scientist in the Age of Personalization

A DSF Whitepaper
02 March 2020
Lalith Kumar Vemali
Views (1751)
Comments (3)

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of the industrial revolution. It also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption Read More

Data Analytics Integrity: Challenges to Implementation of the Automated Data Collection Processes

A DSF Whitepaper
02 March 2020
Michael Baron
Views (1491)
Comments (3)

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of Read More

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The whitepapers published on this site have been written by members of the Data Science Foundation and are open to peer review by other members.

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