Recently hand-picked from around the web, and featured on Data Science Central. Enjoy the reading!Continue
Added by Vincent Granville on June 29, 2016 at 11:59am — No Comments
Summary: In this Lesson 2 we continue to provide a complete foundation and broad understanding of the technical issues surrounding an IoT or streaming system so that the reader can make intelligent decisions and ask informed questions when planning their IoT system.
In Lesson 1
In This Article…
Added by William Vorhies on June 27, 2016 at 8:10am — No Comments
What’s the first thing you think of when you hear the phrase “artificial intelligence”? Perhaps it’s the HAL 9000 from 2001: A Space Odyssey, or maybe it’s chess Grandmaster Garry Kasparov losing to IBM’s Deep Blue supercomputer. While those are indeed examples of artificial intelligence, examples of AI in the real world of today are a bit more mundane and a whole lot less sinister.
In fact, many of us use AI, in one form or another, in our everyday lives. The personal assistant on…Continue
Added by Max Wegner on June 26, 2016 at 11:04pm — No Comments
Complexity, in my point of view, is the key for disruptive evolutions in Data Science and Machine Learning. Approaches as the one from Edgar Morin allow us to see the world through a completely different point of view, analyzing and deconstructing commom sense, leading to a completely new epistemologic view of the world and problems.
Epistemology deals with fundamentals of truth, Socrates, Plato (the cave), Bachelard, Morin, Descartes and so on. An agent-based model is a model where…Continue
Added by Rubens Zimbres on June 26, 2016 at 7:01am — No Comments
Financial institutions have a regulatory requirement to monitor account activity for anti-money laundering (AML). Regulators take the monitoring and reporting requirements very seriously as evidenced by a recent set of FinCEN fines.
One challenge with AML is that it rarely manifests as the activity of a single person, business, account, or a transaction. Therefore detection requires behavioral pattern analysis of…Continue
Added by Arshak Navruzyan on June 26, 2016 at 5:00am — 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.
Featured Resources and Technical ContributionsContinue
Added by Vincent Granville on June 24, 2016 at 9:30am — No Comments
Have you heard of medical radio-telemetry? Up until very recently, it’s been the closest thing that the medical field has had to remote, cloud-based intel on the human body. But now, with the convergence of IoT, cloud, and big data technologies, the health-care industry is primed for a revolutionary influx of new life-saving results. In this article you’re going to see a plausible scenario from the healthcare industry, but keep in mind that such cloud-enabled IoT advancements are happening…Continue
Added by Dhananjay Yadav on June 24, 2016 at 4:00am — No Comments
Anyone who’s attempted to grow or market an online business in the past few years has likely experienced the power of online reviews. Over 67 percent of consumers are influenced by online reviews, and many of them claim that they trust online reviews from strangers about as much as they would trust a personal recommendation from a friend or family member. Not only do these reviews help new…Continue
Added by Larry Alton on June 23, 2016 at 10:30pm — No Comments
Original article is published at Forbes: Link
Ask most people outside academia or Silicon Valley what comes to mind when they hear the term “machine learning” and you’re likely to get a response that involves a movie like “The Matrix” or “Ex Machina.” You’re less likely to hear how it’s a great tool for fraud detection or supply chain…Continue
In recent years, many companies realized how much competitive advantage big data analytics can bring to their business model. This has drastically increased the demand for big data professionals. Since top talents in this field are already hard to find, companies often need to outsource big data analytics in order…Continue
Added by Nate Vickery on June 23, 2016 at 4:30am — No Comments
I keep hearing Data Scientists say that ‘Statistics is Dead’, and they even have big debates about it attended by the good and great of Data Science. Interestingly, there seem to be very few actual statisticians at these debates.
So why do Data Scientists think that stats is dead? Where does the notion that there is no longer any need for statistical analysis come from? And are they right?
Is statistics dead or is it just pining for…Continue
By Tyler Schnoebelen, June 21, 2016.
You can turn right on red in Iowa. Except not where I was last night, from Washington Street on to Linn, which I only realized as I read the “no right on red” sign mid-turn. You’re definitely not supposed to turn left on red, which is what I did a few blocks earlier going from Iowa St. to Clinton. I have no excuse except—I’m not kidding—my mind was preoccupied by thoughts about self-driving…Continue
Added by Leena Kamath on June 22, 2016 at 11:30am — No Comments
This article explains how to run linear regression with R.
Table of Contents:
Added by Emmanuelle Rieuf on June 22, 2016 at 10:30am — No Comments
This book is a guide to authoring books with R Markdown (Allaire et al. 2016) and the R package bookdown (Xie 2016a). It focuses on the features specific to writing books, long-form articles, or reports, such as
Added by Emmanuelle Rieuf on June 22, 2016 at 9:30am — No Comments
This article was posted on the website Nesta. Nesta is an innovation charity with a mission to help people and organisations bring great ideas to life
As more public datasets are opened up, finding effective ways to communicate the messages within them becomes increasingly important. There is no shortage of data available to us, but it can be difficult to extract meaning from it in its raw state. That’s where data visualisation comes in. Effective data vis can…Continue
Added by Emmanuelle Rieuf on June 22, 2016 at 9:00am — No Comments
This article was written by Rick Whiting. Rick has been a senior editor with The Channel Company, including CRN. The CRN editorial team has created the fourth annual Big Data 100 list, identifying vendors that have demonstrated an ability to innovate in bringing to market products and services that help businesses work with big data.…Continue
Added by Emmanuelle Rieuf on June 21, 2016 at 1:30pm — No Comments
In recent times deep learning techniques have become more and more prevalent in NLP tasks; just take a look at the list of accepted papers at this year’s NAACL conference, and you can’t miss it. We’ve now completely moved away from traditional NLP approaches to focus on deep learning and…Continue
Added by Mike Waldron on June 21, 2016 at 3:30am — No Comments
1. Introduction to Microcontroller:
A microprocessor system consists of a microprocessor with memory, input ports and output ports connected to it externally. A microcontroller is a single chip containing a microprocessor, memory, input ports and output ports. Since all four blocks reside on the one chip, a microcontroller is much faster than a microprocessor system.
Added by m.kiransingh on June 21, 2016 at 3:30am — No Comments
Here are some white papers about IBM and Oracle featuring data science topics:
Added by Emmanuelle Rieuf on June 20, 2016 at 2:10pm — No Comments
We start this four-part whitepaper series with Tableau. Tableau is business intelligence software that helps people see and understand their data. You can add scientific articles relevant to data science, IoT, machine learning, deep learning, big data, dataviz, stats, operations research, AI, machine-to-machine communications, scientific programming and related topics…Continue
Added by Emmanuelle Rieuf on June 20, 2016 at 1:30pm — No Comments