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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 integrating TensorFlow models into Java enterprise environments, covering deployment, version control, and integration with popular server frameworks like Spring and Apache CXF.
Explore deep learning fundamentals, including matrix algebra and calculus, and get practical tips for using frameworks like Keras, PyTorch, and TensorFlow in this informative session.
Practical insights on developing a Deep Learning Android app, from data collection to production deployment using TensorFlow, with tips on choosing the right approach and best practices.
Exploring user-centric AI design: How to create socially integrated, accepted, and beneficial machine learning systems for future businesses and daily life.
Explore AI's impact on language, from recent breakthroughs to future possibilities, covering computer vision, natural language understanding, and feature learning.
Explore recent AI breakthroughs and discover why natural language understanding is poised to be the next major frontier in artificial intelligence.
Explore predictive analytics and machine learning applications in NASA spaceflight systems and Hollywood movie risk assessment, covering parametric and non-parametric models for high-risk, low-instance systems.
Comprehensive overview of security vulnerabilities in ML systems, covering poisoning, evasion, and inversion attacks, with focus on adversarial examples and their impact on various applications.
Explore interpretable machine learning using SHAP values to understand model predictions and feature importance, based on a real data science project with practical insights.
Exploring emotional AI's ability to analyze speech for demographic, emotional, and health insights, revolutionizing human-machine interaction across industries.
Explore advancements in emotional machine learning and its potential to revolutionize human-machine interactions, discussing pros and cons of emotionally intelligent AI systems.
Explore the shift from Machine Learning to Machine Teaching, addressing explainability, data access, and algorithm control. Learn about transformative industry applications and real-world examples.
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.
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