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Introduction to Mathematical Thinking
Herramientas de la Inteligencia de Negocios
Basic Spanish 1: Getting Started
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Prepare and test machine learning models locally, then deploy them to production using Tempo Python SDK. Bridge the gap between data scientists and DevOps for faster, more reliable model deployment.
Dive deep into advanced ML model monitoring techniques, including outlier detection, concept drift, explainability, and performance metrics for robust production deployments.
Discover how Marius optimizes machine learning on billion-edge graphs, achieving 10x faster and 5x cheaper training through innovative data flow architecture and resource utilization.
Discover how to build and scale ML services for health and wellness products, reducing release time by 85% using open-source tools like DBT, AirFlow, and MLFlow.
Explore unique data challenges in video games, focusing on model deployment and evolving ML stacks in League of Legends since 2009.
Explore real-world examples of failed GenAI implementations in large US enterprises, uncovering key lessons and unique challenges beyond common concerns.
Explore the effectiveness of in-context learning vs. labelled data for predictive tasks, comparing BERT-sized models to GPT-4 in text categorization and entity recognition.
Explore how Instacart revolutionized search using Language Models, enhancing user experience with personalized recommendations and improved results.
Explore the Mayflower project's AI breakthroughs and edge computing applications in maritime technology. Gain insights into cutting-edge AI implementation for autonomous navigation.
Explore PANAMA, a novel in-network aggregation framework for distributed ML training, enhancing performance and resource sharing in shared clusters.
Discover Ecolab's MLOps journey: Learn how they built a cloud architecture enabling rapid AI service deployment every 30-90 days to proactively address risks.
Learn to design and build a model life cycle for operationalizing AI models, incorporating industry best practices and addressing key considerations for successful implementation.
Develop a machine learning framework using Kubeflow, Feast, and Kafka in GCP. Learn to manage data features, serve endpoints, and monitor model performance with Grafana for real-time and batch predictions.
Gain insights into building an MLOps deployment platform using Kubernetes, integrating key technologies for serving and monitoring complex deep learning models.
Discover rapid ML model iteration and deployment techniques used at Dropbox, reducing development time from weeks to under an hour.
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