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December 2016 Blog Posts (76)

Ahem Detector with Deep Learning

Guest blog by Francesco Gadaleta. Francesco is Data Scientist at Janssen Pharmaceutical Companies of Johnson & Johnson and a Science writer. He is committed to “A World Without Disease” paradigm shift in healthcare, leveraging Artificial Intelligence and Data Science to predict risk and intercepting diseases. He is focused on putting machine learning at the service of human beings.

Do you know why you can’t hear the…


Added by Vincent Granville on December 7, 2016 at 9:15am — No Comments

Beginners Guide to Regression Analysis and Plot Interpretations

This tutorial was written by Manish Saraswat. 


"The road to machine learning starts with Regression. Are you ready?"

If you are aspiring to become a data scientist, regression is the first algorithm you need to learnmaster. Not just to clear job interviews, but to solve real world problems. Till today, a lot of consultancy firms continue to use regression techniques at a larger scale to…


Added by Emmanuelle Rieuf on December 7, 2016 at 8:30am — No Comments

The rise of advanced analytics

In five short years the world of analytics has changed immeasurably. Five years ago Hadoop was reaching the peak of the hype cycle and it acted as a wake-up call to businesses that perhaps there is value in their data.

This evolved more recently into big data analytics. Although Hadoop opened a door to big data, it wasn’t actually the right tool for what most businesses needed – fast analytics, interactive experimentation with data and exploratory analysis of…


Added by Aaron Auld on December 7, 2016 at 8:00am — No Comments

Industry expert shares 2017 data predictions

Siummary: In 2017, AI and analytics M&A activity will accelerate, data lakes will finally become useful, and data monetization strategies will mature. These are some of the predictions Ramon Chen, CMO of data management innovator, Reltio, has for the coming year. 

1.  AI and…


Added by Vincent Granville on December 6, 2016 at 7:30pm — No Comments

The Environmental Cost of Big Data: It’s Higher Than You Think

One of the major selling points of collocating a business’ servers in a data center is the reduced energy consumption. Small businesses have long been sold on the idea of reducing the in-house power resources necessary to operate the network, which in many cases had moved well beyond a simple server on someone’s desk to a dedicated space requiring a specialized HVAC system…


Added by Melissa Thompson on December 6, 2016 at 12:00pm — 1 Comment

Q&A: The Transformative Power of Big Data Paired with Data Science

Data analytics is a mature discipline at this point, and even those outside the data science world generally understand what it’s all about. Modern data science, however, is still new enough to spur questions. Vincent Glanville, Executive Data Scientist at Data Science Central, spoke with Roy Wilds, Chief Data Scientist from PHEMI, a Vancouver-based big data startup, about the best way to educate people…


Added by Roy Wilds, PhD, PHEMI Systems on December 6, 2016 at 8:00am — No Comments

The Fundamental Statistics Theorem Revisited

In this article, we revisit the most fundamental statistics theorem, talking in layman terms. We investigate a special but interesting and useful case, which is not discussed in textbooks, data camps, or data science classes. This article is part of a series about off-the-beaten-path data science and mathematics, offering a fresh, original and simple perspective on a number of topics. Previous articles in this series can be found…


Added by Vincent Granville on December 5, 2016 at 6:30pm — 7 Comments

Warning! Get Ready for Regulations that Restrict Your Analytics

Summary:  AI and predictive analytics are now so prevalent in our day-to-day lives that it has raised the attention of the government, particularly about how certain groups might be adversely impacted.  As data scientists we naturally want to have free reign to let the data speak as best it can, but as this report from the White House shows, we need to be prepared for some push back.


The last 10 years have been glorious days for data science and…


Added by William Vorhies on December 5, 2016 at 4:08pm — 8 Comments

Data Science on Twitter

This article was written by Jason O’Rawe on ODSC. Jason is an ODSC data science team contributor.  

Twitter is an indispensable resource for data scientists as well as for the broader data science community. With the right connections, you can use twitter to learn data science, discover new technologies, computational tools and methodologies, and you can contribute to and build a community of data scientists working for the social good.

Indeed, we at the ODSC use…


Added by Emmanuelle Rieuf on December 5, 2016 at 3:00pm — No Comments

Tutorial - foundations of machine learning and data science for developers

Here is a tutorial I have created (foundations of machine learning and data science for developers)

It is based on my insights from the Enterprise AI…


Added by ajit jaokar on December 4, 2016 at 12:00am — No Comments

Weekly Digest, December 5

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 Contributions


Added by Vincent Granville on December 3, 2016 at 11:00am — No Comments

Digital Transformation helping to reduce patient's readmission

Digital Transformation is helping all the corners of life and healthcare is no exception.
Patients when discharged from the hospital are given verbal and written instructions regarding their post-discharge care but many of them get readmitted in 30 days due to various reasons. 
Over last 5 years this 30 days readmission rate is almost 19%…

Added by Sandeep Raut on December 3, 2016 at 7:30am — No Comments

Statistical Mistakes and How to Avoid Them

This article was posted by Adrian Sampson on his own blog. Adrian is an assistant professor in the Department of Computer Science at Cornell University, where here is also part of the Computer Systems Laboratory.

Computer scientists in systemsy fields, myself included, aren’t great at using statistics. Maybe it’s because there are so many other potential…


Added by Emmanuelle Rieuf on December 2, 2016 at 7:00pm — 1 Comment

Massive Internet Attack Floods the World with Fake Data

Reddit is now at the center of this attack that impacts millions of top domains (most of the Internet) since November 30. While Reddit appears at first glance as the perpetrator, it is actually the victim. This "behind the scene" scheme run from Russia generates huge amounts of fake traffic - as much as 10% of the entire Internet traffic.

It is not caught by Google Analytics, and thus it results in phony web traffic statistic and flawed reports, which is the main issue people are…


Added by Vincent Granville on December 2, 2016 at 12:00pm — 2 Comments

Year in Review: Deep Learning Breakthoughts 2016

Today we are featuring the year’s most interesting breakthroughs in deep learning that we have been fawning over at Grakn Labs. (For those of you who are interested in a crash course in deep learning, here’s a great video by Andrew Ng at Stanford.)…


Added by Precy Kwan on December 2, 2016 at 3:00am — No Comments

Stacking models for improved predictions: A case study for housing prices

This blog was originally published on my website.

If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different predictive models for improved accuracy which will creep your score up in the leader board. While it is widely used, there are only a few resources that I am aware of where a clear description is available (One that I know of is …


Added by Burak Himmetoglu on December 1, 2016 at 6:00pm — No Comments

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