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Maac Nov 24
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Maac Nov 22
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Maac Nov 23
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NephōSec Nov 23
It's , and we’re discussing ! Data mining involves finding anomalies, patterns, and correlations within large sets of data so that we can predict outcomes. It's also behind almost every aspect of our lives -- from grocery coupons to economic forecasts
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Kirk Borne Nov 24
MIT 6.S191 “Introduction to ” — official intro course on deep learning methods with applications: (slides & videos) ——————
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Pollicy Nov 23
Another important activity when working with data is . This is used to discover patterns and relationships in the data in order to extract meaningful insights for decision making.
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Fly spaceships with your mind Nov 16
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Kirk Borne Nov 24
20 Data Sets for Every : —————— ———— ➕See these: 1)Deep Learning Playbook: 2)Handbook of Deep Learning Applications:
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Kirk Borne Nov 23
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Ed Kwedar Nov 24
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Kashif Manzoor Nov 26
Great beginner's guide! PyTorch Tutorial: How to Develop Deep Learning Models with Python (w/ Py code)
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Jash Rathod Nov 23
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Catherine Adenle Nov 21
Pandas on Steroids: End to End Data Science in Python with Dask. A spends 90% of their time in cleaning ...
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Gurminder Khamba Nov 27
Fantastic bit of fun data analysis and shows how could have an impact or how can explain everything maybe even the monolith in Utah
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Alexander Keane 🇺🇲🇧🇷🇪🇸🇨🇵 Nov 20
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Georgina Cosma Nov 21
Some good advice here on preparing data & features for , and on building & updating models. "Practical strategies to minimize bias in machine learning"
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Rimah Harb Nov 22
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couponed Nov 14
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Global Tech Council Nov 3
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Big Data Conference Nov 23
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