Artificial Intelligence is growing at a rapid pace in the last decade. You have seen it all unfold before your eyes. From self-driving cars to Google Brain, artificial intelligence has been at the centre of these amazing huge-impact projects.
Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the usual…Continue
More organizations are adopting data-driven and technology-focused approaches to business and hence the need for analytics expertise continues to grow. As a result, career opportunities in analytics are around every corner. Due to this identifying analytics talent has become a priority for companies in nearly every industry, from healthcare, finance, and telecommunications to retail, energy, and sports.
In this blog, we will be talking about different career paths and option in the…Continue
Added by Divya Singh on October 17, 2018 at 6:30am — No Comments
Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a labelled dataset. This means we already have data from which to develop models using algorithms such as Linear Regression, Logistic Regression, and others. With this model, we can make further predictions like given data on housing prices, what will the cost of a house with a given set of features…Continue
Added by Divya Singh on October 10, 2018 at 7:37am — No Comments
Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.
But which one is better? And, more importantly, which one should you learn?
Both are widely used and are standard tools in the hands of every data scientist.
The answer may surprise you – because as a professional data scientist, you should be ready to deal with…Continue