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.
Announcement
Added by Vincent Granville on September 30, 2017 at 10:30am — No Comments
We are very pleased to announce DescriptiveStats.OBeu v1.2.1 on CRAN!
DescriptiveStats.OBeu
is used on OpenBudgets.eu data mininig tool platform to estimate central tendency and dispersion of numeric variables along with their distributions and correlations and the…
Added by Kleanthis Koupidis on September 30, 2017 at 2:27am — No Comments
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and…
ContinueAdded by Vincent Granville on September 28, 2017 at 3:30pm — 1 Comment
This article was written by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. It consists of summaries, dozens of formulas, and numerous small sections that will help the beginner quickly grasp the essential of deep learning. The presentation style is very similar to a cheat sheet…
ContinueAdded by Amelia Matteson on September 28, 2017 at 1:00pm — No Comments
Here is our selection of featured articles and resources posted since Monday:
Added by Vincent Granville on September 28, 2017 at 8:00am — No Comments
There are several thousands of languages in the world and they all have in common that they are defined and explained by some set of rules. This set of rules is so called grammar and with its help individual and separate words (like nouns and verbs) are combined into the right and meaningful sentences. The similar methodology can be applied on creating graphics. If we imagine that each graph is made up from its basic parts — components, we can…
ContinueAdded by Marija Zoldin on September 28, 2017 at 3:00am — No Comments
From being the plots of sci-fi thrillers to being seen as threats by the working populace, Artificial Intelligence (AI) has during the last few years jumped into the headlines as it has become a part of reality.
People are confused - AI is either considered to be a giant leap towards modernization or a leap towards massive levels of unemployment. It…
ContinueAdded by Ronald van Loon on September 27, 2017 at 5:30pm — No Comments
Abstract – Last Sunday I was at big retail store in Harare and it was a very busy day due to the fact it was month end and people got paid. Grocery shopping was in full swing, I also bought some groceries for my self. When I was in the queue for payment and collection, I saw almost every one making payment either by swiping…
ContinueAdded by Vinod Sharma on September 26, 2017 at 10:30pm — No Comments
Here is another guest blog by Josh Wardini. He is the Community Manager at Webmastersjury
Added by Shay Pal on September 26, 2017 at 2:30pm — No Comments
Here is a guest blog from Raj Vardhman.
Raj is an ardent supporter of responsible gambling and good casino practices, which is why he likes PayPal particularly much, as the e-wallet collaborates only with the most reliable casinos.In his free time Raj enjoys rock climbing and quality lager beer.
In the chart…
ContinueAdded by Shay Pal on September 26, 2017 at 2:00pm — No Comments
Today, data scientists are generally divided among two languages — some prefer R, some prefer Python. I will not try to explain in this article which one is…
ContinueAdded by Marija Zoldin on September 26, 2017 at 10:00am — No Comments
Summary: As your data lake grows larger and your user group more diverse you will need these tools that automatically catalog data and control access to your information. They are a huge benefit and only enhance the spirit of free exploration of data for new value.
Data Lakes have been around almost as long as we’ve had Big Data. That…
Added by William Vorhies on September 26, 2017 at 9:32am — No Comments
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back.
18 Great Blogs Posted in the last 12…
ContinueAdded by Vincent Granville on September 26, 2017 at 9:19am — No Comments
“The problem is that, in many cases, big data is not used well. Companies are better at collecting data – about their customers, about their products, about competitors – than analyzing that data and designing strategy around it.” –
How can this still be the case? I mean after 5+ years of experience with Big Data, have we not learned a darn thing? We get the following observation from no less than the Harvard Business School:
ContinueThe new…
Added by Bill Schmarzo on September 26, 2017 at 6:30am — No Comments
There’s no doubt that AI has usurped big data as the enterprise technology industry’s favorite new buzzword. After all, it’s on Gartner’s 2017 Hype Cycle for emerging technologies, for a reason.
While progress was slow during the first few decades, AI advancement has rapidly accelerated during the last decade. Some people say AI will augment humans and maybe…
ContinueAdded by Ronald van Loon on September 25, 2017 at 8:00pm — 1 Comment
I don't know who produced this image, but I've found it posted on the Deep Learning group on Facebook. Here we go:
For more articles on deep learning, click here. For other data science concepts…
ContinueAdded by Vincent Granville on September 25, 2017 at 5:30pm — 1 Comment
Here is a guest blog by Hayden Beck -
Hayden has written content for some of the biggest logos in the Silicon Slopes (Utah) and works exclusively as a freelance writer . A graduate of the University of Utah, Hayden spends his free time enjoying every winter sport the Rocky Mountains have to offer!
So you’ve determined that your use case doesn’t merit…
ContinueAdded by Shay Pal on September 25, 2017 at 3:00pm — No Comments
Here is a guest blog by Kevin Gray .
Kevin has been a marketing scientist for more than 25 years and my background covers dozens of product and service categories and over 50 countries. In addition to Advanced Analytics and R&D, his responsibilities have encompassed business development, questionnaire design, report writing, management and various other facets…
Added by Shay Pal on September 25, 2017 at 3:00pm — No Comments
As I have written extensively before, the primary purpose of any data you collect or manage is to derive actionable insights from that data using various types of data analytics. A casual browsing on data analytics will tell you that there are 4 types of data analytics and they are: Descriptive analytics, Diagnostic analytics, Predictive analytics,…
ContinueAdded by Ramesh Dontha on September 24, 2017 at 8:00pm — No Comments
Guess whose twitter handle gives this word cloud? Enough hints present in there. You are right, that is Andrew Ng tweeting about his new Deep Learning course on Coursera! It’s always fun to see data in action; isn’t it? Let’s try and create a similar wordcloud for three world leaders, viz. American President Donald Trump, Indian Prime Minister Narendra Modi, and Russian President Vladimir Putin.…
ContinueAdded by Kritika Jalan on September 23, 2017 at 11:30pm — No Comments
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