Featured Blog Posts – September 2015 Archive (110)

5 Text Classification Case Studies Using SciKit Learn

Scikit is an open source machine learning…


Added by Baglom on September 20, 2015 at 11:56pm — 2 Comments

100 top data science presentations

We've already published the top big data presentations on slideshare, as well as great Github list of public data sets, or…


Added by L.V. on September 20, 2015 at 1:30pm — No Comments

Wearable Technology: Bringing Digital Disruption to our Lives !!

Do you remember Captain James Kirk using his wrist watch to communicate with the crew of the Starship Enterprise back in 1966?
Today, almost after 50 years, it has finally become a reality!
Digital disruption is occurring in all business functions all around the world. Wearables are becoming mainstream and disrupting almost every industry, with the…

Added by Sandeep Raut on September 20, 2015 at 6:18am — No Comments

Recurrent neural networks, Time series data and IoT – Part One



In this series of exploratory blog posts, we explore the relationship between recurrent neural networks (RNNs) and IoT data.  The article is written by Ajit Jaokar, Dr Paul Katsande and Dr Vinay Mehendiratta  as part of the…


Added by ajit jaokar on September 19, 2015 at 11:30am — 1 Comment

Data Science In The Cloud With DataJoy

DataJoy is an unbelievably fantastic way for a working data scientist to have their favorite tools at hand. I am a minimalist when it comes to being mobile, whether working on the road, traveling for leisure, and sometimes both. I do not like to keep files on my laptop and I do not, for the most part, like to worry about keeping updated applications on my laptop. I have tried as much as possible to push my life into the cloud. Yes, I travel with a chromebook. Yes, I use…


Added by Dr. William Tribbey on September 19, 2015 at 10:00am — No Comments

My data science glossary

Guest blog by Bob DuCharme

Complete with a dot org domain name.

Lately I've been studying up on the…


Added by William Vorhies on September 19, 2015 at 10:00am — No Comments

50+ Free Data Science Books

Very interesting compilation published here, with a strong machine learning flavor (maybe machine learning book authors - usually academics - are more prone to making their books available for free). Many are O'Reilly books freely available. Here we display those most relevant to data science. I haven't checked all the sources, but they seem legit. If you find some issue, let us know in the…


Added by L.V. on September 19, 2015 at 9:00am — 5 Comments

Book: Creating Value with Big Data Analytics - Making Smart Marketing Decisions

Companies around the world are struggling with a vast amount of data, and can’t make sense of it all. Big Data has the promise of providing firms with significant new information about their markets, their products, their brands, and their customers – but currently, there’s often a great divide between big data and truly usable insights that create value for…


Added by Natasha Walk on September 18, 2015 at 12:00am — 1 Comment

The Real Reason for House Price Inflation in New Zealand

Money Money Money

The Real Reason for House Price Inflation in New Zealand

Simon Knudsen - Sept 2015

Population growth, shortages in housing supply, internal migration, immigration, cheap money, and foreign investors are just a few of the claimed causes of House Price Inflation (HPI) in New Zealand in recent years. The notorious example of HPI in action is NZ's largest city - Auckland. The city has experienced double-digit HPI of late…


Added by Simon Knudsen on September 17, 2015 at 5:13pm — 2 Comments

How Shell Uses Analytics To Drive Business Success

The oil and gas industries are facing major challenges - the costs of extraction are rising and the turbulent state of international politics adds to the difficulties of exploration and drilling for new reserves.

In the face of big problems, its key players are turning to Big Data in the hope of finding innovative solutions to these pressing issues.

Big Data is the name used to describe the theory and practice of applying advanced computer analysis to the ever-growing amount of…


Added by Bernard Marr on September 17, 2015 at 12:00pm — 1 Comment

How to Choose Between Learning Python or R First

If you're starting out in Data Science this is a good question to ask yourself.  After all you want to be immediately employable and also be efficient with your own time.

Cheng Hang Lee took on this question in an article by this same name earlier this year and has a fairly comprehensive discussion of the pros and cons.  Some highlights:

The Case for R

R has a long and trusted history and a robust supporting community in the data…


Added by William Vorhies on September 17, 2015 at 9:44am — 2 Comments

An introduction to Apache drill and why is it useful

With the rapid growth of data and the shift towards rapid development solutions much data is being stored in NoSQL stores such as Hadoop and MongoDB. The infrastructure built upon relational databases that have been used for decades cannot keep up with the volume and scope of data being captured. Further to this SQL is also a really good invention and method for extracting and analysing data that is very widely used.  In short it will not be replaced by hierarchical query techniques…


Added by Zygimantas Jacikevicius on September 17, 2015 at 6:06am — No Comments

No cost training to becoming a data scientist

Statistical analysis and data mining were the top skills that got people hired in 2014 based on LinkedIn analysis of 330 million LinkedIn member profiles. We live in an increasingly data-driven world, and businesses are aggressively hiring experts in data storage, retrieval, and analysis. Across the globe, statistics and data analysis skills were highly valued. In the US, India, and France, those skills are in particularly high demand.

What is data science?

Data scientist…


Added by Marina Mitrashov on September 17, 2015 at 3:30am — 1 Comment

15 Books every Data Scientist Should Read

With all this talk of terabytes and petabytes of digital information zipping around the world at the speed of light, it’s sometimes easy to forget about the humble book!

After all pretty much all you could ever practically need to know is probably conveniently available on a blog, Google Hangout or SlideShare presentation somewhere.

But to many of us, books are special – and whether you are so attached to the feel of turning paper pages between your fingers that you would never…


Added by Bernard Marr on September 16, 2015 at 5:00pm — 4 Comments

All Businesses Are Data Businesses

By Brad Kolarov, co-founder and Managing Partner at B23, a boutique Big Data and Cloud Computing software development and implementation company


Have you seen the Audi commercial with the autonomous mail delivery drones stalking the employees leaving their office? If not, its below.

It’s a bit of a stretch, but the commercial is pretty funny and a good example of the technological advances that are on the horizon.  To manage a fleet of autonomous mail delivery…


Added by Brad Kolarov on September 16, 2015 at 10:00am — 1 Comment

Weekly Digest, September 21

The weekly digest now has 6 sections: (1) Featured Articles and Case Studies, (2) Featured Resources and Technical Contributions, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.

The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday.…


Added by Vincent Granville on September 16, 2015 at 10:00am — No Comments

10 tools and platforms for data preparation

Traditional approaches to enterprise reporting, analysis and Business Intelligence such as Data Warehousing, upfront modelling and ETL have given way to new, more agile tools and ideas. Within this landscape Data Preparation tools have become very popular for good reason.  Data preparation has traditionally been a very manual task and consumed the bulk of most data project’s time.  Profiling data, standardising it and transforming it has traditionally been very manual and error…


Added by Zygimantas Jacikevicius on September 16, 2015 at 3:00am — 6 Comments

Why Bad Data is Wasting Your Marketing Efforts

The amount of money spent on marketing is growing, and the way we spend is changing. The statistics that prove this are plentiful, and becoming more convincing as the years go by.

Here are two very compelling examples:

  • By 2016, we expect the amount of money spent on digital marketing to consume 35% of total marketing budgets, …

Added by Martin Doyle on September 16, 2015 at 12:19am — No Comments

What is the most used feature in any business intelligence solution? It's the Export to Excel button.

I know this is an old joke in the BI community but I couldn't resist.  I was recently forwarded an article on the continued popularity of Excel in the BI community consisting of quotes from 27 experts saying how great and how relevant Excel remains.

We do categorize BI as static and historical as opposed to forward looking predictive analytics but I bet it's still true that Excel is a very widely used tool even by folks that…


Added by William Vorhies on September 15, 2015 at 8:51am — 3 Comments

Baby Steps

I need to start somewhere in my goal to become a Mad Data Scientist.  One of the first places I check was Coursera.org

For those of you who are not familiar with Coursera is a for-profit educational technology company that offers massive open online courses (MOOCs).  Coursera works with universities to make some of their courses available online, and offers courses in physics, engineering, humanities, medicine, biology, social…


Added by Jerry Smith on September 15, 2015 at 6:30am — 2 Comments

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