Edvancer's Knowledge Hub

data science

There are various myths rampant about data science. Data Science did not just come into being overnight, rather it has evolved over a long period of time to become an independent field. In 1960, Peter Nour used it as a substitute for computer science. In 1974, Naur published a study which freely used the term […]

AI in everyday life

  The ubiquity of applications of Artificial Intelligence and Data Science is enormous in our daily lives. AI is making our life simpler each moment of the day without us realizing this. In this article, we will go through some aspects of AI which we interact with every day. Virtual Assistants powered by Speech Recognition […]

how to become a data scientist

  In our last article, we discussed the evolving future of Artificial Intelligence and Data Science; and that the fields are expanding across all the industries be it pharmaceuticals, agriculture, banking, manufacturing, logistics and so on. In this article, we will talk about the various job roles in data science and how to kick start […]

AI vs ML vs DS

Artificial Intelligence (AI), Machine Learning (ML) and Data Science (DS) have become hot topics these days. While there is a lot of excitement around these terms, people use them frequently and loosely, without a clear understanding of their meanings and scopes. In this article,  we try to simplify these technologies and explain the difference between […]

data science python ides

Data analysts and data scientists frequently use Python to clean and analyze data since it’s simple to use and is very flexible, owing to it having minimum rules. You can build powerful machine learning models and deploy these models in production using Python. But just installing Python isn’t going to get you anywhere – one […]

A/B Testing Made Simple - Part 2

In continuation with my previous post in this series on A/B Testing, let us dig a bit deeper into the process by looking at the aspects in the succeeding paragraphs. Separate the Experiences Completely The very first thing to do is to have a hard look at the user randomization and group splitting module that […]

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