CEO & Founder at Deep Data Digital | Data Scientist, Writer, and YouTuber | betterdatascience.com

Apple’s $2499 16" beast vs. a completely free environment — Which is better for TensorFlow?

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Apple completely changed the laptop industry for the second year in a row. New 14" and 16" is what professional users have been waiting for since the base M1 release back in 2020. Does it deliver? Definitely, but can an entirely free Google Colab outperform it? …

When and why should you use one over the other? Best practices explained.

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Python oftentimes leaves you with options, and quotes are no exception. What are the differences between Python single and double quotes? Which one should you use? When does one have an edge over the other? What are triple quotes? It’s easy to get confused if you’re a beginner.

You see…

Apple’s $1299 beast from 2020 vs. a completely free environment — Which is faster for TensorFlow?

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Apple’s M1 chip was an amazing technological breakthrough back in 2020. It hasn’t supported many tools data scientists need daily on launch, but a lot has changed since then. We even have the new M1 Pro and M1 Max chips tailored for professional users.

But what’s the point of an…

From 8 to 16 GPU cores — Here’s how much difference it makes in TensorFlow

Photo by Anthony Choren on Unsplash

Apple’s M1 chip was an amazing technological breakthrough back in 2020. It hasn’t supported many tools data scientists need daily on launch. A lot has changed since then. We even have new M1 Pro and M1 Max chips tailored for professional users. Are these any good for data science? Definitely…

90+% accuracy? Made possible with Transfer Learning.

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Last week, you’ve seen how data augmentation can squeeze an extra couple of percent accuracy from your TensorFlow models. We only scratched the surface compared to what you’ll see today. We’ll finally get above 90% accuracy on the validation set with a pretty straightforward approach.

You’ll also see what happens…

Install and test TensorFlow 2.7 on the new M1 Pro and M1 Max chips from Apple

Photo by Anthony Choren on Unsplash

Apple’s M1 chip completely revolutionized the industry back in 2020. The new M1 Pro and M1 Max are what the professional users have been waiting for. Apple markets these towards content creators, but rest assured, the performance you can squeeze as a data scientist is worth talking about.

I was…

Data science for cycling

Part 4/6 — Calculate and visualize gradients of a Strava route GPX files with Python

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Last week you’ve seen how easy it is to calculate the elevation difference and distance of a Strava route. It was a step in the right direction, as you’ll need both elevation and distance data today. One thing cyclists love talking about is gradients. …

Part 3/6 — Calculate elevation difference and distance between points, and visualize the elevation profile with Python

Photo by Tomi Vadász on Unsplash

Last week you learned how to visualize a GPX Strava route with Python and Folium, and the week before you’ve seen how to analyze and parse Strava GPX routes. Today we’ll take things to the next level by calculating the elevation difference and distance between data points. …

Dario Radečić

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