Row 29012

Row ID: 29012 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 29012 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Hi all! So far, the best machine learning book that I've come across is ISLP (Introduction to Statistical Learning in Python/R). There is also a book by Dr. Manel Martinez-Ramon that is set to publish in October that I've eagerly waiting for (took his class, failed it massively, still think he is one of the coolest dudes ever). In the meantime, I'm looking for any books that REALLY help consolidate the mathematical learning into a single resource as best as possible, with references for further reading when necessary. Has anyone come across a deep learning book that is LESS concerned with programming and MORE concerned with the mathematical structures behind the deep learning processes? (ISLP is a great machine learning resource but only has one chapter on deep learning...)

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text Hi all! So far, the best machine learning book that I've come across is ISLP (Introduction to Statistical Learning in Python/R). There is also a book by Dr. Manel Martinez-Ramon that is set to publish in October that I've eagerly waiting for (took his class, failed it massively, still think he is one of the coolest dudes ever). In the meantime, I'm looking for any books that REALLY help consolidate the mathematical learning into a single resource as best as possible, with references for further …
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-21
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Raw Record

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  "text": "Hi all! So far, the best machine learning book that I've come across is ISLP (Introduction to Statistical Learning in Python/R). There is also a book by Dr. Manel Martinez-Ramon that is set to publish in October that I've eagerly waiting for (took his class, failed it massively, still think he is one of the coolest dudes ever). In the meantime, I'm looking for any books that REALLY help consolidate the mathematical learning into a single resource as best as possible, with references for further reading when necessary. Has anyone come across a deep learning book that is LESS concerned with programming and MORE concerned with the mathematical structures behind the deep learning processes? (ISLP is a great machine learning resource but only has one chapter on deep learning...)",
  "label": "r/deeplearning",
  "dataType": "post",
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  "datetime": "2024-05-21",
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Entry Information