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Miracles of Human Language: An Introduction to Linguistics
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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 security risks in AI/ML adoption, focusing on secure coding practices in Python. Learn techniques to improve code hygiene and protect against vulnerabilities in ML-based solutions.
Explore AI-driven career recommendations using multivariate matching algorithms. Learn how to identify suitable careers, quantify specialization, and gain insights into career progression paths beyond your current field.
Explore Kotlin's potential in machine learning projects, from data cleaning to model deployment. Learn about Kotlin tools for data science, including Jupyter notebooks, visualizations, and dataframes.
Explore TinyML: train, convert, and run machine learning models on microcontrollers. Learn quantization, pruning techniques, and step-by-step integration for embedded AI applications.
Explore predictive analytics and machine learning applications from NASA to Hollywood, focusing on critical decisions, risk management, and innovative solutions in complex systems.
Explore natural language generation through real-world examples, deep learning techniques, and transformer models. Learn about word embeddings, BERT, GPT, and practical applications in various domains.
Explore AI and ML optimization techniques to enhance business outcomes through data understanding and model improvement.
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.
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