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Channel Posts
Common Causes of Data Leakage and how to Spot Them
One of a Data Scientist’s worst nightmares is data leakage. And why is data leakage so harmful? Because the ways your models may suffer from it are designed to convince you that your model is excellent and that you should be…
Source
| 2 |  Crafting Time Series GIFs of Satellite Images with Python
Time is a remarkable storyteller. It weaves narratives of change across our planet. Seeming inanimate objects like rivers, forests and coastlines are all malleable given enough time. Even our cities, which don’t seem to…
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| 3 |  N-BEATS — The First Interpretable Deep Learning Model That Worked for Time Series Forecasting
Time series forecasting has been the only area in which Deep Learning and Transformers did not outperform other models.
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| 4 |  Deep Learning Illustrated, Part 3: Convolutional Neural Networks
Welcome to Part 3 of our illustrated journey through Deep Learning. If you’ve missed the previous articles, definitely go back to read them. They lay the groundwork for what we’re about to dive into today.
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| 5 |  KAN: Why and How Does It Work? A Deep Dive
Last week while we were at an AI & Physics conference (EuCAIFCon), a lot of the discussions were on Foundational models and whether it is possible to discover potentially new laws in Physics using AI, and lo and behold: recently the KAN paper¹ came out in arXiv discussing possibilities of discovering/rediscovering physics and… | 0 |
| 6 |  Time Series Forecasting: A Practical Guide to Exploratory Data Analysis
Time series analysis certainly represents one of the most widespread topics in the field of data science and machine learning: whether predicting financial events, energy consumption, product sales or stock market trends, this field has always been of great interest to businesses. | 0 |
| 7 |  A Simple Way for Downloading Hundreds of Clipped Satellite Images Without Retrieving the Entire Scene (Python)
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