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Explore all talks and presentations from MLCon. Dive deep into the latest insights, research, and trends from the world's leading experts.
Explore the journey of implementing BERT in a natural language generation product, from initial research to production deployment. Learn about challenges, successes, and valuable lessons for NLP practitioners.
Explore an AI-powered image cropping system for online classifieds, enhancing thumbnail attractiveness and buyer engagement through deep learning and salient region identification.
Explore implementing continuous delivery for ML applications using open-source tools. Learn to automate development processes, integrate mixed teams, and continuously improve chatbots in production environments.
Explore deep learning's potential in time series analysis, covering classification, prediction, and anomaly detection. Learn how neural networks can revolutionize processing of sequential data across various domains.
Explore strategies for salvaging doomed ML projects, handling challenges, and extracting value from difficult situations in this insightful case study presentation.
Revolutionizing marine safety through data science: predicting accidents using ship behavior, location, speed, and weather data. Challenges of introducing ML to traditional industry and explaining models with SHAP.
Explore a novel approach combining imitation learning with reinforcement learning methods, leveraging human feedback to enhance AI decision-making in complex environments.
Predicting and preventing maritime accidents using machine learning, leveraging ship behavior data, weather information, and operational profiles to revolutionize the marine insurance industry.
Explore ethical implications of robotics across various fields, examining philosophical perspectives and practical considerations for responsible development and implementation.
Explore software development history analysis, including embeddings, time warping, and clustering techniques. Learn to extract insights from version control logs and predict future trends.
Practical insights on data-driven decision-making with limited resources. Covers roles, challenges, and real-world solutions in data management, avoiding hype and focusing on impactful strategies.
Explore how AI and reinforcement learning were used to conquer the challenging 1987 RPG "Abbey of Crime," overcoming its complexity within 120k of data to complete the game autonomously.
Explore genetic algorithms for solving everyday problems like scheduling and meal planning. Learn to code from scratch and understand algorithm stages for practical applications.
Exploring data quality challenges in AI and deep learning, with insights on maintaining high-quality datasets for optimal algorithm performance in document data extraction.
Explore autoencoder variants, their applications in unsupervised learning, and real-world use cases. Learn about anomaly detection, denoising, and generative models in this comprehensive overview.
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