Producing and distributing a movie or TV series is a big project. There are hundreds of elements affecting the success of the final product. With generation Z gradually taking over the internet, they are asking for more personalized content. Something that is never possible without data science. This is why nearly every section of the
Introduction Beginning to learn a new subject can be intimidating. This is particularly true when that new subject is part of a science and technology field. This may make many of the beginners wonder what should they do, how should they proceed, and what tools they need. The primary tool for data science is -obviously-
” Artificial Intelligence will change the future”. You’re here to read this post so you probably know it already has. There is so much talk about how data science will change/have changed the way we shop, or how robotics is going to change medicine. In this week’s post, we’re here not to tell you how
” Artificial Intelligence will change the future”. You’re here to read this post so you probably know it already has. There is so much talk about how data science will change/have changed the way we shop, or how robotics is going to change medicine. In this week’s post, we’re here not to tell you how
Artificial Intelligence will change the future. You’re here to read this post so you probably know it already has. There is so much talk about how data science will change/have changed the way we shop, or how robotics is going to change medicine. In this week’s post, we’re here not to tell you how AI
An experienced data scientist knows how to tell the story of her data effectively. To make the main points of her data visualization stand out, and the interesting parts catch the eye of the audience. Throughout the multitude of presentations a data scientist does during her career, she learns quite a few lessons about the
The threat of Covid-19 left no choice for Japanese authorities but to postpone the 2020 Tokyo Olympics, and more sadly, hold the games with empty stands. Despite being sad news for the sports fans, this made the 2020 Olympics much more of an online event. It was now a much bigger field for IT companies
Two weeks ago, we started a two-part post on the best tools for visualizing your results and ideas through Python. In the second part, we are completing what we started by introducing 5 extra tools you can leverage to master python visualization or extend your existing demonstration powerhouse. Pygal Documentation: http://www.pygal.org/ Pygal was specially designed
Forgetting the name of a useful library method, or some important options and parameters is a common problem between data scientists. In our post two weeks ago, we introduced some of the best python cheat sheets we found for basic data science and programming objectives. In this week’s post, we’re talking pro. Here we have
Although it may seem unlikely to a beginner, plotting is a critical part of a data science job. You need to master visualization, not only to communicate the results of your work, or make presentations, but to understand the problem itself just at the beginning of your work on a dataset. This phase is called
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