Advanced Tutorials - Runtime Analysis of Population-Based Evolutionary Algorithms
Explore advanced techniques for runtime analysis of population-based evolutionary algorithms, covering selection mechanisms, random family trees, and level-based analyses to optimize algorithm performance.
Why AI is Harder Than We Think
Explore AI's challenges and misconceptions with Melanie Mitchell, delving into fallacies, overconfident predictions, and the complexities of intelligence. Gain insights on creating more robust, general, and adaptable AI systems.
AI- From Algorithms to Ethics - ACM WomENcourage 2020
Explore AI agents designed for human interaction, combining machine learning, behavioral models, and game theory. Learn about applications in emergency triage and evaluation methodologies.
KDD2020 - Transfer Learning Joshi
Explore transfer learning via pre-training, focusing on BERT, span-based efficient pre-training, and ROBERTA. Discover advancements in contextualized representations and future directions in few-shot learning and non-parametric memories.
SIGCOMM 2020 - Server-Driven Video Streaming for Deep Learning Inference
Explore server-driven video streaming for deep learning inference, including real-time camera set heuristics, object detection, and experimental results.
Desires and Diversions - Allen Newell's Retrospective on Scientific Pursuits
Explore Allen Newell's scientific journey, insights on problem-solving, and reflections on his groundbreaking work in artificial intelligence and cognitive psychology.
From AI to Eternity - The Future of Artificial Intelligence and Ethics
Explore AI's history, ethics, and future with Dame Wendy Hall. Delve into diversity, government roles, internet evolution, and the societal impacts of AI technology.
Challenges and Opportunities in Responsible AI
Explore challenges and opportunities in responsible AI development, focusing on human-centered approaches, cultural shifts, and tooling advances to address risks and ensure societal benefits.
Challenges and Solutions in Industry Scale Data and AI Systems - Yangqing Jia
Explore industry-scale data and AI systems challenges, focusing on Alibaba's technologies like big data infrastructure, autonomous computing, and AI engineering for recommendation systems and digital twins.
Maximizing the Potential of Documents, NLP, and AI - Technical and Non-technical Challenges
Explore technical and non-technical challenges in maximizing document potential with NLP and AI, focusing on SEEK's employment marketplace and innovative solutions for data processing and team organization.
KDD TransFAT - Translating Fairness, Accountability, and Transparency - Julia Stoyanovich
Explore ethical AI challenges in automated decision systems, focusing on fairness, accountability, and transparency in hiring processes and beyond.
Towards an Easy-to-use AI Platform - Data, Algorithms, and Systems - Wei Wang
Explore the development of user-friendly AI platforms, covering data preparation, model construction, debugging, and deployment, with a focus on enhancing efficiency and accessibility.
What Role for Programmers in the Age of AI
Exploring the evolving role of programmers in AI era, discussing synergies between data mining and optimization, and highlighting the continued importance of human expertise in software development.
Introduction to Neural Networks in Python - Tensorflow-Keras
Learn neural network basics, architecture, hyperparameters, and implementation in Python using TensorFlow/Keras. Includes hands-on coding examples for various classification tasks, from simple to complex datasets.
Hands on Machine Learning - Unsupervised Learning
Explore unsupervised learning techniques including clustering, dimensionality reduction, and Gaussian mixture models. Hands-on implementation using Python libraries for data analysis and visualization.
YOLOv8 Object Detection - First Look Live Coding
Explore YOLOv8 for object detection in Python, from installation to implementation on images, webcams, and videos. Includes hands-on coding and practical demonstrations.
Face Detection with Python - Live Coding
Explore Python face detection models for age, race, emotion, and keypoints. Compare results and implement various techniques in this hands-on coding session.
Video Data Processing with Python and OpenCV
Learn to process video data using Python and OpenCV, covering reading, writing, metadata extraction, image manipulation, and annotation. Gain essential skills for machine learning applications in computer vision.
Solving Real World Data Science Problems With Python - Computer Vision Edition
Learn to build and improve convolutional neural networks for computer vision tasks using Python, TensorFlow, and Keras. Explore data augmentation, preprocessing, and network architecture optimization techniques.
How to Implement Autoencoders in Python and Keras - The Decoder
Learn to implement the decoder component of autoencoders using Python, TensorFlow, and Keras. Covers building methods, layers, and architecture for generating sound with neural networks.
How to Implement Autoencoders in Python and Keras - The Encoder
Learn to implement autoencoders in Python and Keras, focusing on building the encoder component. Covers autoencoder class construction, convolutional layers, bottleneck creation, and practical implementation.