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6 Steps to Storytelling Your Data

Being able to analyze data properly has always been important, even before we went into the digital and big data era.

Data analysis is a very important skillset for scientists, because models are built on the results that we see in experiments, and if we are able to properly analyze our experimental data, we are able to formulate models that better represent reality.

But data analysis is only half the story.

The other half, the one that is most often forgotten, is that you also need to be able to:

  1. Communicate your findings to others
  2. Convince others that what you’ve found is indeed correct

This is also known as….. Storytelling.

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Vectorization: The Secret to Shortening Your Python Code and Making it Run 150x Faster

Today, I want to talk about something that honestly blew my programming mind. I was taking a course on Neural Networks and Deep Learning – the one by Andrew Ng, former head of Baidu AI Group and Google Brain.

And I stumbled upon a method I’d never encountered before to shortening your code and making it run 150x times faster.

Yes, 150 times – sometimes even 200 times faster. (I have screenshots in this article.)

You: “Get outta here, Max! That’s crazy talk.”

Don’t worry, I thrive off of disbelief. Let’s pack that skepticism into our carry-on, and get directly into the article. 

P.S. There’s a free treat for all that make it to the end of this article (come on, it’s not that long).

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