Building Profitable Models - Lessons from Marks and Spencer
Discover strategies for creating successful, profitable data models in supply chain and product lifecycle management, focusing on decision-making processes and forecast accuracy.
Functional Neuronal Networks
Explore functional data analysis integration in deep neural networks, enhancing interpretability and prediction for scalar responses with functional and scalar covariates.
A Cookbook for Deep Continuous-Time Predictive Models
Explore deep continuous-time predictive models for irregularly-sampled time series, from feedforward approaches to latent-variable stochastic differential equations.
AI and Machine Learning in Healthcare During the Coronavirus Pandemic in China
Explore machine learning applications in healthcare during China's coronavirus pandemic, focusing on practical implementations and outcomes.
Unlocking Mixture of Experts - From One Know-it-all to a Group of Jedi Masters
Explore Mixture of Experts technique to enhance predictive powers. Dive into principles, challenges, and applications. Learn when to use MoE, discuss business metrics, and access resources for implementation.
Uncertainty Quantification in Machine Learning: Federated Conformal Prediction
Explore uncertainty quantification in machine learning through federated conformal prediction, enhancing model reliability and decision-making in distributed settings.
Anticipating Ecological Surprise: Resilience, Tipping Points, and Early-Warning Signals
Explore ecological surprises, resilience, tipping points, and early-warning signals in complex systems. Gain insights into anticipating and understanding sudden environmental changes.
Foundation Models for a Sustainable Planet
Explore how foundation models can address sustainability challenges and drive positive environmental impact through AI-powered solutions.
Machine Learning for Predicting Additive Manufacturing Part Quality - Tutorial on Support Vector Regression
Learn to predict additive manufacturing part quality using support vector regression. Explore data analysis, hyperparameter tuning, and cross-validation techniques for machine learning in 3D printing applications.
The Role of Machine Learning in Facilitating Fusion Energy Research
Explore machine learning applications in fusion energy research, including turbulence simulation speed-ups and predicting rare events. Gain insights into ML's potential to accelerate progress towards clean, abundant fusion energy.
Data Learning: Machine Learning in Climate Action
Explore machine learning applications in climate action, focusing on data-driven solutions for environmental challenges and sustainable development.
Can We Predict the Future of Brazilian Reefs? - QEco Program Seminar
Explore Brazilian reef ecosystems, their future predictions, and conservation strategies through expert insights and quantitative ecological approaches.
Understanding ChatGPT: From Machine Learning to Language Models
Explore machine learning, neural networks, and GPT technology. Gain insights into the evolution and inner workings of ChatGPT, from basic concepts to advanced applications.
Predictive Distribution and Model Comparison in Linear Models - Lecture 12
Dive into predictive distribution modeling, exploring linear models, binary classification, and logistic regression while mastering maximum molecular estimation techniques.
Practice Machine Learning for Petroleum Engineers with Little to No Code
Explore machine learning applications in petroleum engineering with minimal coding. Gain practical skills for implementing ML solutions in reservoir analysis and production optimization.
Data-Driven Modeling of Unknown Systems with Deep Neural Networks
Explore data-driven modeling of unknown systems using deep neural networks. Learn to discover and approximate evolution operators for predictive analysis across various problem domains.
Optimization: The Philosophical Background of Artificial Intelligence
Explore optimization's role in AI, computational models, and its impact on modern science. Gain insights into efficient optimization schemes related to human activity.
Predicting Healthcare Insurance Costs with Python - Real-World Data Science Problem Solving
Predict healthcare insurance costs using Python and machine learning. Clean data, visualize with pandas, and apply scikit-learn for linear regression in this hands-on tutorial with real-world data analysis.
Artificial Intelligence for Data-centric Surveillance and Forecasting of Epidemics
Explore AI-driven approaches for epidemic surveillance and forecasting, focusing on data-centric methods to enhance public health responses and decision-making.
Materials Science and Discovery Powered by Machine Learning
Explore machine learning applications in materials science, focusing on innovative discovery techniques and computational advancements in the field.
Практическое применение нейронных сетей в геологии - 18.10.2021
Освойте практическое применение нейронных сетей в геологии, изучая современные методы анализа данных и прогнозирования для решения геологических задач.