Tips On Making An Impressive Cv For Data Analytics Interview
Have you still not got an interview call yet? Well, you don’t need to worry. With the right type of resume, employers will contact you soon. But what do you need to do? Here we are going to give a few tips on making an impressive resume for your data analytics interview: Create a crisp […]
A Huge Data Analysis on Distributed Cluster Using Apache Spark
Before you start reading this paper , we assume that you have prior knowledge is hadoop distribution file system, map reduce programming. Industries are using Hadoop extensively to analyze their data sets. The reason is that Hadoop framework is based on a simple programming model (MapReduce) and it enables a computing solution that is scalable, […]
Variational Bayesian Approach Mathematical Foundation-Part-2
In our previous blog, we have discussed about Variational Bayesian Inference model, its importance and application areas. In this part, we are going explain the concept of this model with mathematical foundation. In practice, evaluation of the posterior is usually difficult because we can’t easily evaluate, especially when analytical solutions are not available and numerical […]
Variational Bayesian Inference: An Unsupervised Machine Learning Approach
The Bayesian model for prediction problems requires setting up different probability structures that go through the process of integration. However, these formulated integrals are not tractable analytically. Moreover, application of Markov Chain Monte Carlo (MCMC) methods to solve these integrals is slow in nature, especially if the parameter space is high dimensional. The key idea […]
An Interview With Data Brio Student Aditi Sen
Data Brio Academy is proud to share an interview with Aditi Sen, one of our students, to know how she made her successful journey in analytics. Hello Aditi! In what role are you working? I am working as a Business Analyst in Business Brio which is an award-winning big data analytics company. Tell us something […]
A jungle book on machine learning
A JUNGLE BOOK ON MACHINE LEARNING Machine learning stories are no more a subject of science fiction stories. Wide range of applications starting from genetics to business process optimization, generated the required momentum wherein people coming from different backgrounds have started taking interest in machine learning and it has become an important constituent of Data […]
Handling Outliers In Analytics
During any basic or statistical analysis, it is necessary to identify the outliers in datasets and understand its possible impact on the data. Hence handling outliers in analytics is an important topic to learn. What is an Outlier? In a group of smokers, you can always notice a guy who is a non-smoker. Well, that […]
Analyzing Large Volume Health Data
This article has been contributed by our guest writer Nicholas Filler. Nicholas lives in Idaho, US and has deep interests in technology, education, and medicine. He is currently working on game theory and design. He enjoys spending his days outside, skiing during the winter, and learning about engineering concepts. With new innovations entering the medical field […]
How Analytics Designs Anti Money Laundering Systems
You are being repeatedly sent reminders on the phone, email, SMS, etc. to fill-in your KYC (Know your customer) form by your bank and wondering why do you need to do that? It is a process of ‘due diligence of customer’s which is being done by banks as part of the Anti Money Laundering (AML) […]
Qualitative Research-ii
Since most of us are in the mood for a healthy dose of politics, let us look at President Truman’s race through a “sampling” lens. Truman was pitted against Dewey, and one of America’s most influential papers had declared “Dewey Defeats Truman” on the eve of Truman’s victory. Why did this debacle occur? The pollster […]
Qualitative Research-iii
Welcome to Part-III of my observations about Qualitative Research. As promised, we’ll take a quick tour of the different sampling strategies used in research. Since I am limited by goal of brevity and the blogosphere’s attention span, I am fully aware that my list is not exhaustive. If you are hungry for greater detail please […]
Data Science And Moore’s Law
In the last few years, there has been a burst in the amount of data that’s available. Whether its web server logs, tweet streams, online transaction records, data from sensors, government data, or some other source, the problem isn’t getting data, it’s figuring out what to do with it. The question facing every company today […]