All current Conference Talks courses in 2024
731 Courses
May the Fuzz Be with You
Explore how LSTM neural networks and Python can generate AI-driven test inputs for software testing and network security, improving upon traditional fuzzing techniques.
From Linear Algebra to Machine Learning
Explore the mathematical foundations of machine learning, from linear algebra to optimization, with practical Python implementations using NumPy, SciPy, and TensorFlow.
Getting Your Data Joie De Vivre Back
Explore data-driven creativity through AI and visualization, from poetry composition to image reconstruction, blending technical skills with artistic expression for fun and learning.
Teaching Programming to the Next Generation
Explore effective strategies for teaching Python programming to young students aged 11-18, based on a successful case study in a UK secondary school.
AI in Contemporary Art
Explore AI's impact on contemporary art, from creative applications like DeepDream to critical examinations of facial recognition and deep fakes. Discover how artists and technologists are pushing boundaries and addressing societal implications.
Explaining AI to Managers
Demystifying AI for non-technical leaders: Learn to communicate the real value and potential of artificial intelligence in business contexts without delving into complex mathematics.
Roadmap to an Open Source Artificial Pancreas & Diabetes Monitoring with Flask
Explore open-source solutions for continuous glucose monitoring in Type 1 Diabetes, including the artificial pancreas project and building a notifier for the Nightscout dashboard.
Machine Learning for Everyone
Discover the essentials of machine learning, neural networks, and reinforcement learning in this engaging talk. Gain practical insights and witness a mind-blowing demo to kickstart your ML journey.
30 Golden Rules of Deep Learning Performance
Discover 30 essential guidelines for optimizing deep learning models, enhancing performance, and achieving better results in AI and machine learning projects.
Introduction to Quantum Deep Learning
Explore quantum computing's impact on deep learning, including hybrid quantum-classical models, variational circuits, and applications in reinforcement learning and NLP.