Rig the game in your favor: Machine Learning is Accessible to Everyone.

Presented at PhreakNIC 23 (2019), Nov. 9, 2019, 3 p.m. (60 minutes).

In this talk, we will discuss the capabilities and the limits of machine learning. Most importantly, we will discuss the TensorFlow library for the Python programming language, which is an easy-to-learn and powerful tool for building neural network models that will do things such as play Chess, Heartstone, Poker, and many other games. We will conclude the talk with a live demonstration of building a neural network from scratch.

Presenters:

• James Church - Associate Professor at Austin Peay State University
  James Church earned his PhD in Computer Science at the University of Mississippi in 2014 and is currently an associate professor at Austin Peay State University. He loves to travel with wife, Michelle Allen.

Links:

• https://phreaknic23.busyconf.com/schedule#activity_5dae360ef9262e607b00004c
• https://infocon.org/cons/PhreakNIC/PhreakNIC 23 - 2019/Rig the game in your favor Machine Learning is Accessible to Everyone - James Church.mp4
• https://infocon.org/cons/PhreakNIC/PhreakNIC 23 - 2019/Rig the game in your favor Machine Learning is Accessible to Everyone - James Church.eng.srt (subtitles)
• https://www.youtube.com/watch?v=nqnmK1rvrJ8

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• Black Hat USA 2022 / GPT-3 and Me: How Supercomputer-scale Neural Network Models Apply to Defensive Cybersecurity Problems
• DEF CON 32 (2024) / Hacking The Metal: A Spark of Intelligence Workshop
• DEF CON 32 (2024) / Machine Learning for N00bs Workshop