Towards Data Science
@TDataScience
A Medium publication sharing concepts, ideas, and codes. Share your insights and projects with our global audience: https://t.co/Mh1ZLme1o4.
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http://towardsdatascience.com/ 20-10-2016 00:24:43
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By taking a close look at the evolution of human intelligence, could we gain a better understanding of AI's potential โ and limitations?
Stephanie Shen's latest deep dive explores a fascinating question at the intersection of neuroscience and technology. buff.ly/3JEDtVV
How can we increase trust in our prediction models?
We quantify the model's uncertainty.
In my latest article in Towards Data Science I show you how easy it can be. (Spoiler: it just takes 3 lines of code)
If you'd like to expand your knowledge of Gradio, Thomas Reid walks us through the open-source package's more advanced layout options. buff.ly/4a5J7Lb
My latest geospatial data + python tutorial on Towards Data Science - ๐๐ฎ๐๐ฅ๐ข๐ ๐๐ซ๐๐ง๐ฌ๐ฉ๐จ๐ซ๐ญ ๐๐๐๐๐ฌ๐ฌ๐ข๐๐ข๐ฅ๐ข๐ญ๐ฒ ๐ข๐ง ๐๐ฒ๐ญ๐ก๐จ๐ง
๐๐๐๐ ๐ข๐ญ ๐ก๐๐ซ๐ : towardsdatascience.com/public-transpoโฆย
+
๐๐ง๐ญ๐ซ๐จ ๐ญ๐จ ๐๐๐
๐ ๐๐๐ญ๐ : towardsdatascience.com/quantifying-trโฆ
In this article, Elaine explores 6 reasons why 85% of AI projects fail:
1๏ธโฃ AI systems donโt solve the right problem
2๏ธโฃ AI innovation gap
3๏ธโฃ AI systems canโt achieve good enough performance and are not useful
4๏ธโฃ People miss low-hanging fruit
5๏ธโฃ ...
buff.ly/3xRMLLm
In an accessible, hands-on primer, Hans Christian Ekne explains what one-hot encoding is, how it works, and how to implement it effectively in both Python and R. buff.ly/3w1Vlqz
Leveraging the power of Hydra and MLflow, Marcello Politi shows how you can build more efficient pipelines for hyperparameters tuning. buff.ly/3UeWmDD
What's the most effective way to learn and practice your data science skills? Egor Howell shares the strategies he's come to rely on and wishes he'd known about sooner. buff.ly/3JDQNtl