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    Machine Learning
    April 6, 2020

    Automotive Engineering - ADAS

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    #Machine Learning Systems
    Statistics
    February 22, 2020

    Elementary Statistical Inference

    Confidence interval and Significance Test

    #Statistics
    Machine Learning
    February 15, 2020

    Decision Tree

    Introduction to Decision Tree Method

    #Machine Learning
    NLP
    February 15, 2020

    Attention Is All You Need

    What’s the structure in my dataset or what are the symmetries in my dataset and is there a model that exists that has the inductive biases to model these properties that exist in my dataset.

    #NLP
    Vision
    February 7, 2020

    Super Resolution Intro.

    Introduction to Super Resolution

    #Vision
    Mathematics
    January 18, 2020

    Vector Optimization

    The way of optimizing when the cost function is vector, not scalar value.

    #Mathematics
    XAI
    January 11, 2020

    Understanding Blackbox Prediction via Influence Functions

    Why did the system make this prediction? How can we explain where the model came from?

    #XAI
    Reinforcement Learning
    January 11, 2020

    55 Minute Reinforcement Learning

    From the beginning of Reinforcement Learning to the MC and TD algorithms in discrete state space.

    #Reinforcement Learning
    Statistical Learning
    January 4, 2020

    Gaussian Process Regression

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    #Statistical Learning
    Machine Learning
    January 4, 2015

    Support Vector Machine

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    #Machine Learning Theory
    Page 5 of 5

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