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Category: Machine Learning

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  • Nikolas Laskaris

    November 18, 2019
    Machine Learning, Tutorials

    How to apply machine learning and deep learning methods to audio analysis

    To view the code, training visualizations, and more information about the python example at the end of this post, visit…

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    How to apply machine learning and deep learning methods to audio analysis
  • Gideon Mendels

    October 24, 2019
    Machine Learning

    Stanford Research Series: Grand Digital Piano: Multimodal Transfer of Learning of Sound and Touch

    Authors: Ernesto Evgeniy Sanches Shayda (esanches@stanford.edu), Ilkyu Lee (lqlee@stanford.edu) I. MOTIVATION Musical instruments have evolved during thousands of years allowing…

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    Stanford Research Series: Grand Digital Piano: Multimodal Transfer of Learning of Sound and Touch
  • Dhruv Nair

    October 18, 2019
    Comet Community Hub, Machine Learning

    Estimating Uncertainty in Machine Learning Models — Part 3

      Check out part 1 (here)and part 2 (here) of this series In the last part of our series on…

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    Estimating Uncertainty in Machine Learning Models — Part 3
  • Gideon Mendels

    October 2, 2019
    Machine Learning

    Stanford Research Series: Making Trading Great Again: Trump-based Stock Predictions via doc2vec Embeddings

    Authors: Rifath Rashid (rifath@stanford.edu) and Anton de Leon (aadeleon@atanford.edu) 1 Introduction The question of how accurately Twitter posts can model…

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    Stanford Research Series: Making Trading Great Again: Trump-based Stock Predictions via doc2vec Embeddings
  • Dhruv Nair

    September 26, 2019
    Comet Community Hub, Machine Learning

    Estimating Uncertainty in Machine Learning Models – Part 2

      You can check out part 1 of this series here In part 1 of this series, we discussed the sources…

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    Estimating Uncertainty in Machine Learning Models – Part 2
  • Gideon Mendels

    September 19, 2019
    Machine Learning

    Stanford Research Series: Exploring Model Architectures and View-Specific Models for Chest Radiograph Diagnoses

    Authors: Danny Takeuchi (dtakeuch@stanford.edu), Raymond Thai (raythai@stanford.edu), Kevin Tran (ktran23@stanford.edu) This project tackles several current issues with automated chest X-ray…

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    Stanford Research Series: Exploring Model Architectures and View-Specific Models for Chest Radiograph Diagnoses
  • Dhruv Nair

    September 12, 2019
    Comet Community Hub, Machine Learning

    Estimating Uncertainty in Machine Learning Models — Part 1

      “We demand rigidly defined areas of doubt and uncertainty!” – Douglas Adams, The Hitchhiker’s Guide to the Galaxy Why…

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    Estimating Uncertainty in Machine Learning Models — Part 1
  • Gideon Mendels

    August 20, 2019
    Machine Learning

    Selecting the right weight initialization for your deep neural network

      Part 1 of a two part series The weight initialization technique you choose for your neural network can determine…

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    Selecting the right weight initialization for your deep neural network
  • Gideon Mendels

    May 24, 2019
    Comet Community Hub, Machine Learning, Product

    Organizing Machine Learning Projects: Project Management Guidelines

      Author: Jeremy Jordan Originally published at https://www.jeremyjordan.me on September 1, 2018, and was updated recently to reflect new resources. The goal…

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    Organizing Machine Learning Projects: Project Management Guidelines
  • Gideon Mendels

    May 13, 2019
    Machine Learning

    Building a fully reproducible machine learning pipeline with comet.ml and Quilt

    Classifying fruits using a Keras multi-class image classification model and Google Open Images   This post was written in collaboration…

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