The nineteenth session of the LSSTC DSFP focuses on Machine Learning.

"The future ain't what it used to be."

-- Yogi Berra

Two orientation lectures are provided asynchronously, these are:

• A Brief Introduction to git/GitHub; B Scott
• Building Visualizations Via Principles of Design ; A Miller

Saturday, Sep 9, 2023

• 10:30 AM - 11:00 AM Registration & Introductions,
• 11:00 AM - 11:30 AM Incoming Student Survey
• 11:30 AM - 12:15 PM Introduction to the Vera C Rubin Observatory and Legacy Survey of Space & Time; L. Walkowicz
• 12:15 PM - 12:30 PM Goals of the DSFP; B Scott
• 12:30 PM - 01:30 PM LUNCH (provided) & Discussion of the Code of Conduct; B. Scott
• 01:30 PM - 02:45 PM Introduction to Classical Statistics; A. Miller
• 02:45 PM - 04:00 PM Introduction to Bayesian Statistics; B. Scott
• 04:00 PM - ??? Break

"42."

~ Deep Thought on the answer to life, the universe, and everything (The Hitchhiker's Guide to the Galaxy).

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Sunday, Sep 10, 2023

• 09:00 AM – 09:30 AM o Introduction of Cohort 7 and the new instructors
• 09:30 AM – 09:45 AM o Introduction to Hack Sessions
• 09:45 AM – 10:30 AM o Introduction to Machine Learning; B. Scott
• 10:30 AM – 11:00 AM o BREAK
• 11:00 AM – 12:00 PM o Problem: Introduction to ML; B. Scott
• 12:00 PM – 01:30 PM o LUNCH
• 01:30 PM – 02:15 PM o Introduction to Unsupervised Learning; A. Miller
• 02:15 PM – 03:15 PM o BREAK
• 03:15 PM – 04:00 PM o Problem: Introduction to Unsupervised Learning; A. Miller
• 04:00 PM – 05:00 PM o Introduction to Dimensionality Reduction; B. Scott
• 05:00 PM - 06:00 PM o Problem: Introduction to Dimensionality Reduction; B. Scott

"I have an infinite capacity for knowledge, and even I'm not sure what is going on outside..."

~GladOS (Portal)

Monday, Sep 11, 2023

• 09:00 AM – 10:30 AM o Introduction to Supervised Machine Learning; V. Acquaviva
• 10:30 AM – 11:00 AM o BREAK
• 11:00 AM – 12:00 PM o Problem – Introduction to Supervised Machine Learning; V. Acquaviva
• 12:00 PM - 01:30 PM o LUNCH
• 01:30 PM – 02:30 PM o Tree & Ensemble Methods; V. Acquaviva
• 02:30 PM – 03:30 PM o Problem: Tree & Ensemble Methods; V. Acquaviva
• 03:30 PM - 04:00 PM o BREAK
• 04:00 PM - 05:30 PM o Live Code: The Perceptron A. Miller or B. Scott
• 06:00 PM - ??:?? PM o Group dinner

"I am capable of distinguishing over one hundred and fifty simultaneous compositions. But in order to analyze the aesthetics, I try to keep it to ten or less."

-- Lt. Cmdr. Data (Star Trek: The Next Generation)

Tuesday, Sep 12, 2023

• 09:00 AM - 10:00 AM o Convolutional Neural Networks, J. Wu
• 10:00 AM - 10:30 AM o BREAK
• 10:30 AM - 12:00 PM o Problem: Convolutional Neural Networks J. Wu
• 12:00 PM - ??:?? PM o BREAK

"It seems you feel our work is not of benefit to the public."

-- Rachael (Blade Runner)

Wednesday, Sep 13, 2023

• 09:00 AM – 10:00 AM o Graph Neural Networks; J. Wu
• 10:00 AM – 10:30 AM o BREAK
• 10:30 AM – 12:00 PM o Problem: Graph Neural Networks; J. Wu
• 12:00 PM – 01:30 PM o LUNCH
• 01:30 PM – 02:30 PM o Lecture: The Upper Confidence Bound; A. Sravan
• 02:30 PM – 04:00 PM o Problem: The Upper Confidence Bound; A. Sravan
• 04:00 PM – 04:30 PM o BREAK
• 04:30 PM – 05:00 PM o Hack Pitch Session

"The 9000 series is the most reliable computer ever made. No 9000 computer has ever made a mistake or distorted information. We are all, by any practical definition of the words, foolproof and incapable of error."

-- HAL 9000 (2001: A Space Odyssey)

Thursday, Sep 14, 2023

• 9:00 AM - 10:00 AM o Lecture: Thompson Sampling; A. Sravan
• 09:45 AM – 10:45 AM o Problem: Thompson Sampling; A. Sravan
• 10:45 AM – 11:00 AM o BREAK
• 11:00 AM – 12:00 PM o Professional Development: CV Workshop; V. Toy-Edens
• 12:00 PM – 01:00 PM o LUNCH
• 01:00 PM – 04:30 PM o Hack Session;
• 04:30 PM – 05:00 PM o Hack tag–up & Meeting wrap up