As the world started to acknowledge the true importance of artificial intelligence and machine learning, tech giants across the globe are riding this emerging tech wave. At some point of time, it was commonly believed that only smaller startups are generally more innovative and more dynamic than established and giant market leaders, but today this isn’t the case with artificial intelligence and machine learning. The main reason is that the development of innovative services and products is usually very expensive, and only companies with a great number of resources can afford to try that process out.
In today’s world, as the volume of data generated from different sources is increasing exponentially and almost in every minute, there’s an urgent need for businesses across the globe to derive actionable insights from it in order to rise above the competition. As a result, companies across the globe are desperately looking for data scientists who can handle and analyze huge datasets by using cutting edge tools and technologies to help them accomplish their business goals.
If you need help to sharpen your interview skills in machine learning algorithms, ensemble models, and other aspects of deep learning, these frequently asked interview questions with answers could be just what you need.
In the domain of data science, you’ll get a wide range of different career options to choose from. If you take an interest in data cleaning and data exploration and want to work as a data analyst, here are some interview questions that are frequently asked with their answers to get you job-ready.
In the domain of data science, Python and R are two of the most popular programming languages. Let’s dive in to check how Python and R stack up against each other.