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Computer Science

7,622 items in 38 lists

  1. Stanford Tensorflow for Deep Learning Research Course web.stanford.edu

    Stanford Course about Tensorflow from 2017 - Syllabus - Unofficial Videos

  2. Hyperopt tutorial for Optimizing Neural Networks’ Hyperparameters vooban.com

    Learn to slay down hyperparameter spaces automatically rather than by hand.

  3. Discover structure behind data with decision trees vooban.com

    Grow and plot a decision tree to automatically figure out hidden rules in your data

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  4. Stanford Notes vision.stanford.edu

    , Codes, GitHub

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  5. The Stanford NLP Group nlp.stanford.edu

  6. ML Compiled ml-compiled.readthedocs.io

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  7. Adam Geitgey medium.com

    Easiest Introduction to machine learning

  8. Andrej Karpathy karpathy.github.io

    A blog about Deep Learning and Data Science in general

  9. Bag of Words en.wikipedia.org

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  10. Spark Machine Learning spark.apache.org

    Spark’s ML library consisting of common learning algorithms and utilities.

  11. fast.ai - Practical Deep Learning For Coders course.fast.ai

    A code-first introduction to deep learning.

  12. Understanding LSTM Networks colah.github.io

    Explains the LSTM cells' inner workings, plus, it has interesting links in conclusion.

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  13. Data Version Control (DVC) dvc.org

    DVC is a data and ML experiments management tool.

  14. Airflow airflow.apache.org

    Programmatically author, schedule and monitor workflows.

  15. Vasily Vasinov twitter.com

    [tutorial]

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  16. Lorenzo Masini twitter.com

    [post]

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  17. Kei Sawada twitter.com

    [slides]

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  18. Prasun Anand twitter.com

    [slides | video | slides | slides]

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  19. Mike Perham twitter.com

    [post]

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  20. Ilya Grigorik twitter.com

    [video]

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  21. Geoffrey Litt twitter.com

    [slides]

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  22. Eric Weinstein twitter.com

    [slides | video]

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  23. Colin Drake twitter.com

    [post]

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  24. Rick Carlino github.com

    [tutorial]

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  25. Android TensorFlow Machine Learning Example blog.mindorks.com

    Android TensorFlow Machine Learning Example.

  26. Oxford Deep Learning - video youtube.com

    , Video Lectures Summer School Montreal

  27. Neural Networks video series by Hugo Larochelle youtube.com

    Interesting class about neural networks available online for free by Hugo Larochelle, yet I have watched a few of those videos.

  28. techanjs techanjs.org

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  29. An Introduction to Statistical Learning with Applications in R statlearning.com

    Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.

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  30. Cube square.github.io

    uses MongoDB to store time series data.

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  31. The Analytics Engineering Podcast roundup.getdbt.com

    How analytics engineers build and maintain data pipelines at scale.

  32. r/datasets reddit.com

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  33. NetworkX networkx.org

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  34. R in Action, Third Edition manning.com

    Early Access

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  35. Julia Evans jvns.ca

    Recurse Center alumna

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  36. The Quiet-Broke Index jeevesagency.github.io

    A 30-metro composite ranking of how much of a $400K household income gets consumed by housing, taxes, childcare, healthcare, and transport. Open methodology, free, no email gate.

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  37. MLSys-NYU-2022 github.com

    Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.

  38. GHTorrent ghtorrent.org

    Scalable, queriable, offline mirror of data offered through the GitHub REST API.

  39. The Math Behind Artificial Intelligence freecodecamp.org

    A free FreeCodeCamp book teaching the math behind AI in plain English from an engineering point of view.

  40. figshare.com figshare.com

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  41. enigma.com enigma.com

    Navigate the world of public data - Quickly search and analyze billions of public records published by governments, companies and organizations.

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  42. Linear Regression en.wikipedia.org

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