Tutorials, books, articles, data sets, certifications, you name it. All about data science, machine learning and related topics. You can find them with a simple keyword search: enter the keyword "free" in the DSC's search box, and here are the results.
Below is a screenshot of the DSC search results page, for the keyword "free".…Continue
Added by William Vorhies on December 3, 2015 at 9:30am — No Comments
Learning any new skill is hard. There are too many possibilities, and the goal seems massive and intimidating.
Enter the Pareto Principle.
The Pareto Principle, also known as the 80/20 rule, suggests that 80 percent of results come from 20 percent of efforts. It can be applied to everything from business to language, even learning how to use R.
With just a…Continue
Added by Divya Parmar on December 3, 2015 at 8:42am — No Comments
Enjoy the reading!
This was a question recently posted on Quora: What are the best data science podcasts?. Users recommend the following ones:
Added by L.V. on December 2, 2015 at 5:00pm — No Comments
What do you think of when you think of "big data"?
For many, it's a nebulous term that invokes images of huge server farms humming away. Or perhaps you think of receiving some kind of personalized advertisement from a retailer.
But big data is so much deeper and broader than that. I believe there are 10 major areas in which big data is currently being used to excellent advantage in practice - but within those arenas,…Continue
Companies in a variety of industries are still data-rich but information-poor and this ratio keeps increasing every day. The rate of data generation is so high that organizations simply cannot keep up with generating insights out of it.
These enterprises lack the kind of actionable information and analytical tools needed to improve profits and performance. Business intelligence (BI) is the…Continue
Added by Nilesh Jethwa on December 2, 2015 at 11:00am — No Comments
Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest 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.…Continue
Added by Vincent Granville on December 2, 2015 at 10:00am — No Comments
This article is no longer available. We apologize for the inconvenience. To read more about data science interview questions, click here. We highly recommended the following reading:…Continue
Yes, we are marching towards New Year 2016! What happened to Resolution of 2014, 2015? Quit Habits? Practice Habits? Road ahead? Am into all, but i could not able to keep it up. Hence this New Year 2016 is no more resolutions, just implement the plan.
Extend to that, as we know big data is bringing more business value to enterprise by leveraging the data lake. Data Lake..... What is that? Data Lake is loosely defined word and the definition gets changed during implementation…Continue
Added by Kumar Chinnakali on December 2, 2015 at 5:00am — No Comments
With the holiday shopping season officially kicked off, sales data is on everyone's mind. But that's not the only data people are talking about. Talk of data brokers and consumer tracking is becoming more commonplace, as is a certain backlash against big data. This week, we highlight some articles touching on these subjects and round out the discussing with some coverage of natural language processing techniques.
Everyone knows about online…Continue
Added by Brian Rowe on December 1, 2015 at 1:01pm — No Comments
Nearly a year ago we wrote about the questions folks should consider when making early analytics hires. While those questions are helpful whether you’re hiring your first data analyst or your fourth, there will be undoubtedly be another nagging question as you scale:…Continue
Added by Melissa Bierly on December 1, 2015 at 11:30am — No Comments
Guest blog by Nidhi Arggarwal of Tamr
A recent Forbes Insight/Teradata survey of 316 large global company executives found that 47% “do not think that their companies’ big data and analytics capabilities are above par or best of breed.” Given that “90% of organizations report medium to high levels of investment in big data analytics,” the executives’ self-criticism begs the question:…Continue
Added by Jason Bailey on December 1, 2015 at 7:30am — No Comments
There are many topics that you won't learn in statistics classes. Some such as U-Statistics, stochastic geometry, fractal compression, and stochastic differential equations, are for post-graduate people. So it is OK to not find them in statistics curricula. Others like computational complexity and L^1 metrics (to replace R-squared and other outlier-sensitive L^2 metrics such as traditional variance) should be included, in my opinion.
But the classic statistics curriculum is almost…Continue
Added by Vincent Granville on December 1, 2015 at 7:00am — No Comments
Prior this month Impact Team individuals Madalin Mihailescu and Chris Matys facilitated a talk with our portfolio organization CTOs on the point of employing and scaling up information science groups. Here are some brisk flame takeaways from that exchange:
1 Hire Teams, Not Unicorns
We regularly hear that the information researcher is a unicorn. They are not unless you are attempting to contract one who can do it all: Product Manager, Data Scientist,…Continue