Matthew Frank

San Francisco Bay Area Contact Info
420 followers 417 connections

Join to view profile

About

Tech enthusiast with a passion for machine learning and data science.

I am…

Activity

Experience & Education

  • Live Data Technologies

View Matthew’s full experience

See their title, tenure and more.

or

By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.

Courses

  • Abstract Data Types

    101

  • Advanced Programming

    109

  • Algorithm Analysis

    102

  • Applied Machine Learning

    207

  • Artificial Intelligence

    140

  • Comparative Programming Languages

    112

  • Computational Methods and Applications

    147

  • Computational Models

    130

  • Computer Architecture

    110

  • Computer Systems/Assembly Language

    12

  • Data Visualization

    209

  • Fundamentals of Data Engineering

    205

  • Generative A.I.

    290

  • Machine Learning at Scale

    251

  • Operating Systems

    111

  • Probability & Statistics

    107

  • Research Design and Applications for Data and Analysis

    201

  • Social Networks

    17

  • Software Engineering

    115

  • Statistics for Data Science

    203

  • Web Applications

    183

Projects

  • YouTube Facial Recognition With Facial Keypoints

    -

    The YouTube Faces Dataset was originally intended to be used for face recognition across videos, i.e. given two videos, are those videos of the same person or not? This will be our initial goal.

    We will be using the YouTube Faces with Facial Keypoints dataset.

    "This dataset is a processed version of the YouTube Faces Dataset, that basically contained short videos of celebrities that are publicly available and were downloaded from YouTube. There are multiple videos of each…

    The YouTube Faces Dataset was originally intended to be used for face recognition across videos, i.e. given two videos, are those videos of the same person or not? This will be our initial goal.

    We will be using the YouTube Faces with Facial Keypoints dataset.

    "This dataset is a processed version of the YouTube Faces Dataset, that basically contained short videos of celebrities that are publicly available and were downloaded from YouTube. There are multiple videos of each celebrity (up to 6 videos per celebrity). I've cropped the original videos around the faces, plus kept only consecutive frames of up to 240 frames for each original video. This is done also for reasons of disk space, but mainly to make the dataset easier to use."

    We may go further than simply identifying if two videos contain the same person and will potentially attempt to see if can we use our dataset to build a face movement model and predict what facial expression will come next.

    https://www.kaggle.com/selfishgene/youtube-faces-with-facial-keypoints

  • Slug Grades

    -

    Grade Management for Student Organizations. Directory of each member and classes taken. Graph of GPA, group and individual. File Storage System. User Profile.

    See project

Languages

  • English

    Native or bilingual proficiency

Organizations

  • Tau Kappa Epsilon

    Academics Chair

    -

View Matthew’s full profile

  • See who you know in common
  • Get introduced
  • Contact Matthew directly
Join to view full profile

Other similar profiles

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

Others named Matthew Frank in United States

317 others named Matthew Frank in United States are on LinkedIn

See others named Matthew Frank

Add new skills with these courses

See all courses