If you’re a business executive (rather than a data scientist or machine learning expert), you’ve probably been exposed to the mainstream media coverage of artificial intelligence or AI. You’ve seen articles in …
The 7 Myths of AI
By Robin Bordoli
Does Big Data mean Hadoop? Not really, however when one thinks of the term Big Data, the first thing that comes to mind is Hadoop along with heaps of unstructured data. An exceptional lure for data scientists having the opportunity to work with large amounts data to train their models and businesses getting knowledge previously never imagined. But has it lived up to the hype? In this article, we will look at a brief history of Hadoop and see how it stands today.
Added by Kashif Saiyed on September 30, 2016 at 6:00pm — No Comments
Added by NYC Data Science Academy on September 30, 2016 at 12:30pm — 1 Comment
Added by NYC Data Science Academy on September 30, 2016 at 12:00pm — 1 Comment
When we talk about innovative services or products, many startups follow a smoother model of development. This allows them to minimize the…
ContinueAdded by Ernesto Mislej on September 30, 2016 at 6:00am — No Comments
According to Deloitte: by the “end of 2016 more than 80 of the world’s 100 largest enterprise software companies by revenues will have integrated cognitive technologies into their products”. Gartner also predicts that 40 percent of the new investment made by enterprises will be in predictive analytics by 2020. AI is moving fast into…
ContinueAdded by ajit jaokar on September 29, 2016 at 7:00pm — 1 Comment
As the current wave of Artificial Intelligence apps continue to gain routine use, do we really trust them?
If not, here's a way of improving trust. Write the apps in Executable English [1], so that they can explain their results and actions at the end user level.
What other approaches are there?
[1] …
ContinueAdded by Adrian Walker on September 29, 2016 at 11:30am — No Comments
By Robin Bordoli
If you’re a business executive (rather than a data scientist or machine learning expert), you’ve probably been exposed to the mainstream media coverage of artificial intelligence or AI. You’ve seen articles in …
Added by Leena Kamath on September 29, 2016 at 9:30am — No Comments
Here is our selection of featured articles and tutorials for today:
Added by Vincent Granville on September 29, 2016 at 9:12am — No Comments
We’re obviously in an age of unprecedented access to customer insights and information, but that doesn’t necessarily mean it’s easy to gather and leverage data. Businesses – small businesses, in particular – must be very strategic with the information they collect and how they go about procuring it.
Data collection and analysis takes time, so it would be a shame to focus on the wrong information.
Five Different Ways to Collect…
ContinueAdded by Larry Alton on September 29, 2016 at 2:30am — No Comments
Beer is delicious but it is not one thing. If you disagree with the former part of the previous sentence please keep the latter in mind[1]. Think of sports, for instance. Many would agree with the blanket statement "sports are fun" but depending on what you have in mind two people can easily have opposite reactions to being presented the opportunity to play ping-pong. Sports are not one thing, music is not one thing, and neither is beer.
Presented with a finely crafted brew in…
ContinueAdded by Reginald Eps on September 28, 2016 at 10:30am — No Comments
McKinsey Global Consulting famously predicted a shortage of between 140,000 and 180,000 Data Scientists by 2018. That's about 15 months away. Will that prediction turn out to be correct? What do you think? How does it look?
Added by George Vander Meulen on September 28, 2016 at 8:30am — 1 Comment
Smart transportation uses information technology and artificial intelligence to efficiently manage and coordinate transportation systems. The application of smart transportation network allows the travelling population to have better knowledge of the traffic for better coordination. In addition, the use…
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Credit : Seattle Metropolis October 2016. Click on picture to zoom
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Added by Emmanuelle Rieuf on September 27, 2016 at 7:30pm — No Comments
Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement more than neural networks and deep learning. And like any good magic it not only dazzles and inspires but also puts fear into people’s hearts. This primer sheds some light on how neural networks work, hopefully adding to the wonder while reducing the fear.
One known property of artificial neural networks (ANNs) is that they are…
ContinueAdded by Brian Rowe on September 27, 2016 at 1:30pm — No Comments
This reference is a part of a new series of DSC articles, offering selected tutorials on subjects such as deep learning, machine learning, data science, deep data science, artificial intelligence, Internet of Things, algorithms, and related topics. It is designed for the busy reader who does not have a lot of time digging into long lists of advanced publications.…
ContinueAdded by Vincent Granville on September 27, 2016 at 12:30pm — No Comments
Summary: What comes next after Deep Learning? How do we get to Artificial General Intelligence? Adversarial Machine Learning is an emerging space that points to that direction and shows that AGI is closer than we think.
Deep Learning, Convolutional Neural Nets (CNNs) have given us dramatic improvements in image, speech, and text recognition over the last two years. They suffer from the flaw however that…
ContinueAdded by William Vorhies on September 27, 2016 at 10:25am — 3 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. Below is our third edition.…
ContinueAdded by Vincent Granville on September 27, 2016 at 8:00am — No Comments
This article was written by Pallavi Poojary.
In a world where 2.5 quintillion bytes of data is produced every day, a professional who can organize this humongous data to provide business solutions is indeed the hero! Much has been spoken about why Big Data is here to stay and why Big Data Analytics is the best career move. Building on what’s already been written and said, let’s discuss Data Science…
ContinueAdded by Emmanuelle Rieuf on September 27, 2016 at 7:30am — No Comments
This article was written by Richard Downes. Richard is a Specialist Recruiter / Headhunter in the areas of Analytics, Data Science and Artificial Intelligence / Machine Learning and NLP (Natural Language Processing). His work within Analytics covers Predictive Analytics, Consumer Insight / Shopper Insight, and Loyalty right the way through to Credit and Risk.…
ContinueAdded by Emmanuelle Rieuf on September 26, 2016 at 11:00am — 1 Comment
“Many products and applications exist today that can help us take steps toward healthier living." - Ben Bajarin
Big data is everywhere. Yes it’s true that it has always been there but, we are just recently finding ways to best utilize it. All industries are being disrupted with the collection and analyzation of data and medtech is no different.
The majority of data has historically been used to help study disease and find cures. However, with the…
ContinueAdded by Brian Horvath on September 26, 2016 at 9:00am — No Comments
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