Summary: Not enough labeled training data is a huge barrier to getting at the equally large benefits that could be had from deep learning applications. Here are five strategies for getting around the data problem including the latest in One Shot Learning.
For at least the last two years we’ve been in an…
Added by William Vorhies on January 28, 2019 at 9:56am — 1 Comment
There has been much hype surrounding deep learning and data science learning in recent times, and one of the cornerstones of deep learning is the neural network. In this article, we will look at what a neural network is and get familiar with the relevant terminologies.
In simplest terms, a neural network is an interconnection of neurons. Now the question arises, what is a neuron? To understand neurons in deep learning, we first…
ContinueAdded by Divya Singh on September 20, 2018 at 4:00am — No Comments
“Arguably the most significant development in information technology over the past few years, blockchain has the potential to change the way that the world approaches big data, with enhanced security and data quality just two of the benefits afforded to businesses using Satoshi Nakamoto’s landmark technology.”…
Added by Noah Data on September 8, 2017 at 3:00am — No Comments
This is a tutorial to show how to implement dashboards in R, using the new "flexdashboard" library package.
this new library leverages these libraries and allows us to create some stunning dashboards, using interactive graphs and text. What I loved the most, was the “storyboard” feature that allows me to present content in Tableau-style frames. Please note that for this you need to create RMarkdown (.Rmd) files and insert the code using the…
ContinueAdded by Ann Rajaram on May 13, 2017 at 4:00am — 10 Comments
A data scientist needs to be Critical and always on a lookout for something that misses others. So here is some advice that one can include in the day to day data science work to be better at their work:
1. Beware of the Clean Data Syndrome
You need to ask yourself questions even before you start working on the data. **Does this data make sense?** Falsely assuming that the data is clean could lead you towards wrong Hypotheses. Apart from that, you can discern a…
ContinueAdded by Rahul Agarwal on March 29, 2017 at 10:00am — 3 Comments
Data has been preserved in various formats for a long time. After the boom of computers and electronic, most of the data storage migrated to the digital domain. And in the contemporary world data is preferred to be stored online.
With millions of people daily adding to the already , data runs in humongous numbers and is humbly termed as . The source of this data may vary and need not necessarily deal with online…
ContinueAdded by Joydeep Bhattacharya on July 6, 2016 at 11:00pm — No Comments
"There is no evidence that anybody has been converted by a pie chart."
So said Martin Palmer, secretary general of the Alliance of Religions and Conservation, on BBC’s Beyond Belief.
He went on to say, "People are converted by stories, by narrative, by emotion, by an appeal to the heart."
This was a discussion about climate change and the Pope’s encyclical on the issue.…
ContinueAdded by Andy Cotgreave on May 4, 2016 at 11:17am — 2 Comments
Behind every successful person, there is tons of coffee.
Successful or not or on way to success, coffee is the beverage of choice for many of us. Today a coffee drinker faces a ‘choice overload’ problem – there are too many varieties, blends, and roasts to choose from. Is there a way to simplify this problem? How can data science help us to streamline our choices without sacrificing individual preferences?
Data science refers to knowledge discovery from large volumes of…
ContinueAdded by Kolabtree on August 20, 2015 at 10:00pm — No Comments
2019
2018
2017
2016
2015
2014
2013
2012
2011
1999
© 2019 Data Science Central ®
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Archives: 2008-2014 | 2015-2016 | 2017-2019 | Book 1 | Book 2 | More
Most popular articles