The power of deep learning paired with collaborative human intelligence to increase the quality of crop cultivation imagery through super resolution.
In the paper A survey on bias and fairness in machine learning.- the authors outline 23 types of bias in data for machinelearning. The source is good – so below is an actual representation because I found it useful as it is
full paper link below
1) Historical Bias. Historical bias is the already…
ContinueAdded by ajit jaokar on June 30, 2020 at 12:02pm — 1 Comment
Summary: Bias in modeling has long been a public concern that is now amplified and focused on the disparate treatment models may cause for African Americans. Defining and correcting the bias presents difficult issues for data scientists that need to be carefully thought through before reaching conclusions.
…
ContinueAdded by William Vorhies on June 29, 2020 at 11:31am — No Comments
Profit analysis is an integral part of analysis drills, which are conducted at regular frequency. Both finance and marketing departments are equally engaged in this activity — though both have a different approach to it. Variance…
Added by saurabh ajmera on June 29, 2020 at 6:00am — No Comments
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link. …
ContinueAdded by Vincent Granville on June 28, 2020 at 12:00pm — No Comments
Today I uploaded to github the first version of my book “QC Paulinesia” about Quantum Computing. The title is a play on the surname of the famous quantum scientist Wolfgang Pauli and the word "Polynesia". The book is based on a paper with the same name that I wrote in 2004.
Here is its github repo. Here is the pdf for the book. Let me quote the current…
ContinueAdded by Robert R. Tucci on June 27, 2020 at 1:00pm — No Comments
Background
Anomaly detection for IoT is one of the archetypal applications for IoT.
Anomaly detection techniques are also used outside of IoT.
In my teaching at the #universityofoxford - we use anomaly detection as a use case because it brings together many of…
ContinueAdded by ajit jaokar on June 26, 2020 at 10:00am — 1 Comment
Yahoo Finance (below) is a website that gives us a good deal of information about the financial market, including information about stock trading.
To get the numbers for a specific stock, all you have to do is to search for its Yahoo code (ex: VALE - see figure below). This is not necessarily the company’s…
ContinueAdded by Norton Trevisan Roman on June 26, 2020 at 10:00am — No Comments
Millions of people are forced to leave their current area of residence or community due to resource shortage and natural disasters such as droughts, floods. Our project partner, UNHCR, provides assistance and protection for those who are forcibly displaced inside Somalia.
The goal of this project was to create a solution that quantifies…
ContinueAdded by Omdena Community Members on June 25, 2020 at 3:30am — No Comments
Generative Adversarial Networks (GANs) software is software for producing forgeries and imitations of data (aka synthetic data, fake data). Human beings have been making fakes, with good or evil intent, of almost everything they possibly can, since the beginning of the human race. Thus, perhaps not too surprisingly, GAN software has been widely used since it was first proposed in this amazingly recent 2014 paper. To gauge how widely GAN software has been used so far, see, for example, this…
ContinueAdded by Robert R. Tucci on June 24, 2020 at 11:30pm — No Comments
© 2020 by Radna Intellectual Ventures, LLC.
In Sweden, there's something called the Allemansrätten, which literally translates…
ContinueThe gradient decent approach is used in many algorithms to minimize loss functions. In this introduction we will see how exactly a gradient descent works. In addition, some special features will be pointed out. We will be guided by a practical example.…
Added by Frank Raulf on June 24, 2020 at 7:00am — No Comments
Given the scale of its impact and the kind of alteration that it brought into our lives, COVID19 is one of the most unprecedented crises of our times. Although it is not the only pandemic that humanity has been through, COVID19 is occurring in the time of the fourth industrial revolution where everyone and everything is one click way, and where the excess of data and computing has allowed machines to be more intelligent than ever. In the age of deep tech and data, data science is definitely…
ContinueAdded by Ghida Ibrahim on June 24, 2020 at 6:30am — 1 Comment
Recently Springer made some good books on maths free to download.
Competitive programming strategies are useful for many data science interviews and they help to improve your maths foundations. There are not many books on this subject (although there are many good websites and YouTube resources).
So, I hope you find this book…
ContinueAdded by ajit jaokar on June 23, 2020 at 12:00pm — 5 Comments
External Data Sources Are More Critical Than Ever in Supply Chain Management.
Your company's historical data are not contextual enough for our COVID world.
Danillo Pereira, CAO
June 22, 2020
The…
Added by Betsy Romeri on June 22, 2020 at 9:49am — No Comments
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link. …
ContinueAdded by Vincent Granville on June 21, 2020 at 2:00pm — No Comments
Background
As part of my PhD work, I recently had to analyze any dataset(s) of my interest and present findings. I ended up conducting a study on US County-wise Covid-19 data. I wanted to share my key findings through this blog.
Study Question
The primary question I wanted to address through data analysis was “Do counties’ socioeconomic factors such as population size, poverty rate, unemployment rate, education percent and…
ContinueAdded by Murali Kashaboina on June 20, 2020 at 3:16pm — 2 Comments
The power of deep learning paired with collaborative human intelligence to increase the quality of crop cultivation imagery through super resolution.
The focus in this article lies in…
Added by Omdena Community Members on June 20, 2020 at 9:00am — No Comments
I dropped out of university as a literature major in the 1980s. (I needed time to find myself.) Before I left, I read The Histories by the ancient Greek historian Herodotus. I decided to name my new data object the Herodotus Event Data Object or HEDO. A number of HEDOs can be stitched together to form codified narrative. Those who follow my blogs might recall that I previously developed a system of codified narrative called BERLIN. HEDOs represent my reinvention of BERLIN. I…
ContinueAdded by Don Philip Faithful on June 19, 2020 at 1:41pm — No Comments
Added by Imran Wyne on June 19, 2020 at 7:55am — No Comments
If you've spent any time with modeling data, you'll know that there are many pitfalls to be had when it comes to data presentation (I addressed some common pitfalls in Misleading Graphs Part 1). Misleading graphs can be the result of incorrect data collection, ignorance of the basic "rules" of data presentation (like labeling axes), or even deliberate attempts to mislead. A fourth…
ContinueAdded by Stephanie Glen on June 18, 2020 at 6:00am — No Comments
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