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Artificial Intelligence
Communication Skills
Video Editing
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Introducción a la gestión de proyectos
Mathematical and Computational Methods
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Automate ML model training and evaluation using GitLab CI/CD. Learn to allocate cloud instances, generate performance reports, transfer data, and customize workflows for efficient machine learning development.
Strategies for small and medium-sized organizations to overcome challenges and implement machine learning in real-world applications, focusing on product definition, data, deployment, and ethics.
Practical guidance on evaluating movement data quality, selecting providers, and building a reliable location intelligence platform for high-fidelity use cases.
Explore ethical AI implementation, from principles to practice, focusing on healthcare considerations and practical tools for responsible AI throughout the development lifecycle.
Explore the critical role of leadership in AI adoption, emphasizing the importance of understanding AI models, their applications, and potential pitfalls to drive organizational success and avoid historical missteps.
Learn strategies to transition from analyst to data scientist, exploring paths like self-teaching, formal education, and in-role upskilling. Discover key differences between roles and design your career progression.
Explore opportunities and challenges in using electronic health records for clinical decision support, focusing on natural language processing to transform clinical documentation into structured data.
Explore modern survival modeling in Python for predicting event timing. Learn concepts, tools, and applications in various fields, from churn prediction to sales strategy optimization.
Explore principles of personalized machine learning across recommender systems, language processing, and computer vision. Learn about techniques, applications, and ethical considerations in tailoring predictions to individual users.
Learn to build an automated MLOps workflow using Git, GitHub, and open-source tools, covering the entire ML model lifecycle from data labeling to prediction monitoring.
Explore Apache TVM for ML deployment across diverse hardware, offering performance optimization and portability. Learn about OctoML's Octomizer for continuous model optimization and benchmarking.
Learn key principles for scaling ML & AI in organizations, covering data culture, model integration, and practical insights from Shopify's experience serving global entrepreneurs.
Explore DNS data collection methods that protect privacy while enabling internet analysis. Learn techniques for scrubbing PII and leveraging DNS metadata for behavioral security research.
Explore an explanation-based learning framework for NLP that improves label efficiency and reliability, reducing reliance on extensive datasets and machine learning expertise.
Survey of deep learning pipeline optimization techniques, exploring quantization, distillation, and math library selection. Discusses trade-offs for deployment and provides insights for efficient ML implementation.
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