Dataroid @dataroid_ai
Blogging about Data Science at https://t.co/vmamKMSGMq dataroid.ai Joined December 2020-
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You're not a bad programmer if you have to look stuff up, make cheat sheets for yourself, google things, look stuff up, etc. Getting good at those things is one of the most important meta skills.
Is it possible to run IPython notebooks in @Replit similar to Google Colab? I would really love to use Replit for this --plus if there were ways to auto-grade student code that is written in notebooks I would be over the moon as a Data Science educator @bloomtech.
Who cares if HTML is or isn't a programming language?! People can write code in files to control what the computer does and that feels like magic when you're just starting. Don't take that away from them.
What is Amazon Elastic Block Store? -> codecard.io/glossary/elast…
What is AWS's Shared Responsibility Model? codecard.io/glossary/aws-s…
Was learning about Amazon Elastic Block Store and went down a rabbit hole. So if you've always wondered what the difference is between file storage, block storage, and object storage check out the latest blog post! I'll tweet a thread about this later: codecard.io/blog/cloud-pra…
I took an AWS Certified Cloud Practitioner practice exam and copied the contents into @RoamResearch to count up references to key terms. I'll be studying them in this order. I intend to combine this with other practice tests I take in the future. codecard.io/blog/cloud-pra…
Just because something involves technology doesn't mean it's progress. Progress involves creating value in people's lives.
Chief Engineer for the Guidance, Navigation, and Control system for @NASAPersevere, Miguel San Martín, reacts to the landing! You can see how much this meant to him!
This equation is the #1 thing that has stuck with me the strongest from my econometrics courses. I'll probably be able to recite it to you 50 years from now.
Scraped some job listing data from Indeed. The average salary offered: - Data Analyst: $80,474.72 - Data Scientist: $125,080.73 - Data Engineer: $128,307.57 Sample size of 30 for each job title.
Also in 2006: @teoliphant released the first version of Numpy, unifying the array libraries in Python-land and starting a multi-decade revolution in scalable, vectorized computing for everyone. It paved the way for modern machine learning and AI.
Here's a code example showing how to define and train a convolutional Variational Auto-Encoder (VAE) in ~50 lines of code. colab.research.google.com/drive/1veeJMSR…
Making slides for my course. Trying my best to prepare students for their machine learning job in the industry. What did you wish you knew before you deployed your first ML model?
Woah wish I knew about this existed sooner: github.com/HarisIqbal88/P…. Generates LaTeX for beautiful neural network visualizations (like the FCN-32 shown below).
I love how Python allows negative indexing to slice a string starting from the back of the string instead of the front. You can also indicate the step size to grab items at regular intervals. And if you combine the two you get a slick technique for reversing any string or list!
Building machine learning models that work on drones, with TensorFlow/Keras neptune.ai/blog/applicati…
One of my favorite Python features is using the double slash for integer division. I feel so cool when I use it.
The Turing test was *never* a relevant goal for AI. We should remember that Turing never intended it as a literal test to be passed by a machine designed for that purpose, but as a philosophical device in an argument about the nature of thinking. fastcompany.com/90590042/turin…

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