Data Analysis

4 misconceptions about data wrangling

Around 80% of the time in data analysis is spent on cleaning and preparing data for analysis. This is, however,…

6 years ago

4 myths about Git and GitHub you should know about

With an aim to replace BitKeeper, Linus Torvalds created Git in 2005 to support the development of the Linux kernel.…

6 years ago

7 tips for using Git and GitHub the right way

GitHub has become a widely accepted and integral part of software development owing to the imperative features of change tracking…

6 years ago

What is Statistical Analysis and why does it matter?

As a data developer, the concept or process of data analysis may be clear to your mind. However, although there…

6 years ago

Messaging app Telegram’s updated Privacy Policy is an open challenge

Social media companies are facing a lot of heat presently because of their privacy issues. One of them is Facebook.…

6 years ago

How everyone at Netflix uses Jupyter notebooks from data scientists, machine learning engineers, to data analysts

Netflix uses a variety of tools to do data analysis. One of the big ways that data scientists and engineers…

6 years ago

Can Cryptocurrency establish new economic world order?

Cryptocurrency has already established one thing - there is a viable alternative to dollars and gold as a measure of…

6 years ago

Data science for non-techies: How I got started (Part 1)

As a category manager, I manage the data science portfolio of product ideas for Packt Publishing, a leading tech publisher.…

6 years ago

Nvidia and AI researchers create AI agent Noise2Noise that can denoise images

Nvidia has created an an AI agent that can clean 'noisy images' - without ever having seen a 'clean' one.…

6 years ago

8 ways to improve your data visualizations

In Dr. W.Edwards Deming’s words “In God we trust, all others must bring data”. Organizations worldwide, revolve around data like…

6 years ago