Oct 29 2014

Introduction to PROC IML : Making matrix handling on SAS as easy as R

IML1

I have been using SAS for more than 3 years now. When I started using R, I found a few operations extremely easy. R treats every variable as an object, hence a few operations become very effective on R. For example, multiplication of Vectors and Matrix Calculations. Using R, you can directly reference to any …

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Oct 27 2014

Index page to learn everything about Analytics

Analytics Vidhya has been a tremendous journey for us. Today, when we look back at the journey we have covered so far – it makes us feel proud. It gives us a sense of accomplishment – that we have added value to our readers. It gives us a sense of fulfillment – that we, along …

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Oct 21 2014

Commonly asked interview puzzles – Part II

3switch and bulb

Most of the analysts love solving and asking puzzles. Some of the best analysts I know, have a glean in their eyes at mention of a difficult logical puzzle. While these puzzles are fun to solve in free time, they might look scary to other people facing them in an interview backdrop. As Tavish mentioned …

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Oct 20 2014

How does Artificial Neural Network (ANN) algorithm work? Simplified!

ANN

In the last article (click here), we briefly talked about basics of ANN technique. But before using the technique, an analyst must know, how does the technique really work? Even though the detailed derivation may not be required, one should know the framework of the algorithm. This knowledge serves well for multiple purposes: Firstly, it helps …

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Oct 17 2014

Introduction to SAS Macros – Functions

SAS-Macros

In last 2 articles, we looked at the basic concept of SAS Macros and how they become useful to accomplish repetitive tasks easily. We also looked at how SAS Macros can be used in iterative and conditional circumstances. Now, let’s understand use of some Macro functions to manipulate text, perform arithmetic operations and execute SAS …

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Oct 14 2014

Introduction to Artificial Neural Network : Simplified

simple relationships

Here is yet another algorithm used by the industry to scare ignorant freshers. The tag line for this algorithm is “It works in a way, similar to human brain.” The first time I started reading about the algorithm, I realized that even though brain functionality might be very complex, artificial neural network algorithm is not as …

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Oct 13 2014

Review – Post Graduate Program in Business Analytics from Great Lakes Institute of Management

Great Lakes Chennai

Recently, I spent half a day speaking about Insurance Analytics at Great Lakes Institute of Management on their Gurgaon campus. Interacting with students / working professionals wanting to create a career in Analytics has always fascinated me, and so did the interaction with this group. Since I get a lot of queries on this course, …

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Oct 10 2014

Introduction to k-nearest neighbors : Simplified

Model comparison

In four years of my career into analytics I have built more than 80% of classification models and just 15-20% regression models. These ratios can be more or less generalized throughout the industry. The reason of a bias towards classification models is that most analytical problem involves making a decision. For instance will a customer …

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Oct 08 2014

Introduction to SAS Macros – Conditional & Iterative statements

SAS Macro, %IF, %DO, SAS

In my previous article, we developed a basic understanding of SAS Macros and SAS Macro variables. We also looked at how macros can be used to simplify repetitive tasks. SAS macros provide us with the flexibility to use a piece of code multiple times by simply calling the macro. This flexibility can be exploited to reach …

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Oct 06 2014

Learning path & resources to start your data science (analytics) career today

first_step_importance

Marie said it correctly – the most difficult step in any process is the first step! Recently, we launched a list of various analytics trainings being offered across the globe and are still adding more trainings to it to make it more comprehensive. While we get the entire page up and ready for you, I thought let …

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