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How Things Work: An Introduction to Physics
End of Life Care: Challenges and Innovation
Understanding Medical Research: Your Facebook Friend is Wrong
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Explore ML's role in finance, from COVID-19 impacts to lending applications, and its potential for promoting financial stability and sustainable business models.
Detect financial client churn using computer vision techniques. Convert historical client data into images and apply deep neural networks for predictive analysis.
Explore AI and automation for designing functional molecular materials, focusing on recent advancements in the field.
Explore best practices for deploying ML models and integrating them into core business functions. Learn from real-world experiences in on-demand inference deployment.
Explore efficient language generation by converting pretrained transformers to RNNs, improving speed without sacrificing accuracy through a swap-then-finetune approach.
Explore federated learning to leverage distributed data for robust machine learning models without centralizing sensitive information. Learn benefits, challenges, and practical applications.
Explore industrial NLP applications, business cases, and deployment scenarios for large-scale language processing solutions.
Explore model risk management strategies for AI, addressing complexity, regulatory compliance, and business impact mitigation.
Explore key obstacles in AI talent acquisition and strategies to overcome them, empowering academia, graduates, and businesses to bridge the industry-ready talent gap.
Explore data versioning and ML experiment tracking with DVC, integrating code, data, and models in Git repositories for efficient ML workflow management.
Explore Deep AutoViML for building powerful TensorFlow models and MLOps workflows. Learn to fast prototype data pipelines and models using TF 2.4+ and Keras preprocessing layers.
Explore ensemble techniques to boost ML model performance, explainability, and usability for complex problems by leveraging multiple specialized models.
Explore a novel approach to identify similar mutual funds using graph learning and network embedding techniques, providing data-driven insights for portfolio analysis and fund recommendations.
Explore adversarial attacks on ML-based algorithmic trading systems, evaluating robustness and discussing realistic attack scenarios in financial markets.
Enhance sales productivity using machine learning techniques and operationalize models with Yelp's platform. Gain insights from a real-world case study.
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