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Unlock the power of recommendation engines for food delivery. Learn data preprocessing, feature engineering, and scalable algorithms to create personalized recommendations using the DHRD dataset.
Explore PyTorch 2.1's new features for AI model acceleration, including compile, distributed, inference, and edge technologies, with insights on optimizing generative AI models for enhanced performance.
Explore the evolution from AI to Generative Algorithms (GX) and its impact on algorithm design, creativity, and innovation in technology and society with insights from industry expert Jepson Taylor.
Explore innovative strategies for robust machine learning models against adversarial inputs and tail risks, focusing on ensemble methods and risk-sensitive decision-making in high-stakes environments.
Leverage billions of customer reviews for multi-label topic classification. Learn to detect activities, facilities, and summarize topics using fine-tuned BERT models. Explore data collection, active learning, and model explainability.
Explore recent advances in foundation models, scaling laws, and emergent behaviors in AI. Learn about efforts to democratize AI and make cutting-edge technology accessible to all.
Learn to integrate generative AI into apps using Azure OpenAI Service. Explore models like ChatGPT and Codex, and discover enterprise-grade features for next-gen AI applications.
Explore optimal algorithms for testing positive semidefiniteness and eigenvalue approximation, featuring a novel random walk method and innovative techniques for matrix analysis and algorithm optimization.
Explore the critical social and political implications of AI systems with Dr. McQuillan, examining how deep learning impacts society and discovering alternative approaches rooted in feminist and decolonial perspectives.
Explore Data Morph, an open-source tool challenging summary statistics assumptions. Learn to uncover hidden truths in datasets through innovative visualization techniques and reshape your approach to data analysis.
Explore adversarial validation and training for stock market prediction, focusing on recommender systems, graph-based models, and their impact on user satisfaction and revenue growth in e-commerce and streaming services.
Explore AI frontiers with Dr. Ben Goertzel, comparing LLMs to human intelligence and AGI. Learn about integrating LLMs with advanced tools for enhanced analytics and reasoning, and gain insights into AI's future potential and limitations.
Explore semi-supervised anomaly detection in retail using ensemble stacking. Learn innovative techniques for fraud prevention, combining deep and traditional models to identify unknown anomalies and enhance fraud detection.
Explore interactive Explainable AI techniques, human factors in AI decision-making, and practical strategies for enhancing XAI services. Learn to understand and trust AI predictions for effective decision-making.
Unlock the potential of Generative AI and ML for B2B audience understanding. Explore innovative techniques in topic modeling and text classification using LLMs to enhance marketing strategies and data-driven decision-making.
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