5 podcasts that make learning Data Science and Analytics a lot more fun

You don’t have time to read anymore. You’re too busy to attend short courses or take online classes. But you really want to learn about the tech and corporate world’s latest buzzwords – data science and analytics. For someone who isn’t a numbers geek or hasn’t studied the mysteries of Mathematics or statistics earlier, it’s pretty hard to grasp the basic concepts of data science on your own. So, what…

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Data Science: The Tech That Powers Iron Man!

It’s A Bird… It’s A Plane… It’s Iron Ma…..Oh, Wait!! That’s A Major Blunder!! Wasn’t it supposed to be Superman? Well, who cares?? Iron Man’s cooler! He combines the flight of a bird and the tech behind a plane and cruises effortlessly in the sky! He may not be quite the “Naturally gifted” Superhero as you might want him to be, but he is everything better! Why, you ask? Well,…

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Machine Learning: Linear regression and gradient descent – Part 1

The purpose of this article is to understand how gradient descent works, by applying it and illustrating on linear regression. We will have a quick introduction to Linear regression before jumping on to the estimation techniques. Please feel free to skip the background section, if you are familiar with linear regression. The reason why I chose to write on this topic is that “a good understanding of gradient descent and…

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Ten handy Python libraries for (aspiring) data scientists

Data science has gathered a lot of steam in the past few years, and most companies now acknowledge the integral role data plays in driving business decisions. Python, along with R, is one of the most handy tools in a data scientist’s arsenal. It’s also one of the simplest computer languages to learn and use, primarily because most concepts can be expressed in fewer lines of code in Python, than…

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Data is the new oil of the Digital Economy

Everyone from geeks to CEOs is on the data bandwagon. Today, for a CEO to say, “I’m not investing in data and analytics” is the same as him saying “I’m not interested in our customers”. The real question is not whether you invest in data or not. What matters is what I call Return on Data Investment (RoDI). CEOs can announce they invested $10 mil in data and analytics and…

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Tools in the data armoury: R vs Spark

The purpose of this article is twofold. The first is to give a quick comparison between R and Spark, in terms of performance. The second is to introduce you to Spark’s ML library. Background As R is inherently single threaded, it may not be wise to compare Spark and R in terms of performance. Though it is not an ideal comparison, some of the numbers below will definitely excite someone…

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What does a Data Scientist do?

Data Scientists…! We hear about them everywhere around us and there is so much hype around data science, data scientists and the slew of accompanying technologies like Hadoop, Hive, Mahout, Hbase and with keywords like big data, machine learning, information retrieval, search, etc. This makes one wonder what exactly all this ado is about. A data scientist is a combination of a traditional statistician, data engineer and someone with a…

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