Learning Machine Learning : Basic ML Models to Building Hand-written Digit Recognizer

Olson 106, Olson Hall, UC Davis, Davis, 95616

This is the second workshop in a series of 2 workshops where we will begin by learning basic machine learning models, namely SVM, KMeans, KNN, and Linear Regression. Then, we will talk about the difference between MLP and CNN, and we will also use MLP to make our own Handwritten Digit Recognizer. We will use the sklearn library of Python for the coding.

May 28, 2022, 11:00 PM – May 29, 2022, 12:00 AM

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Key Themes

Machine Learning

About this event

This is the second workshop in a series of 2 workshops where we will begin by learning basic machine learning models, namely SVM, KMeans, KNN, and Linear Regression. Then, we will talk about the difference between MLP and CNN, and we will also use MLP to make our own Handwritten Digit Recognizer. We will use the sklearn library of Python for the coding.

Event page for the first workshop: https://gdsc.community.dev/e/mcmp76/

When

When

May 28 – 29, 2022
11:00 PM – 12:00 AM UTC

Speakers

  • Shyam Agarwal

    GDSC @ UC Davis

    Operations Director

  • Yash Inani

    GDSC@UC Davis

    Tech Lead

  • Jaewoo Lee

    GDSC@UC Davis

    Tech Lead

  • Khalil Buckley

    GDSC@UC Davis

    Tech Lead

Organizers

  • Shyam Agarwal

    University of California, Davis

    GDSC Lead

  • Edward John

    VP of Technology

  • Mohnish Gopi

    VP of Externals

  • Aniedi Udo-Obong

    Regional Leader

  • Mythri Kulkarni

    VP of Operations

  • Divya Gautam

    VP of Design

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