Fraud Detection Use Case with Red Hat OpenShift Data Science
Explore hands-on fraud detection techniques using a practical GitHub repository, guided by experienced software engineers.
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.
Techniques for Accurate Quantitative Analysis of C. elegans Behavior
Explore advanced techniques for precise C. elegans behavior analysis, including WormLab features, parameter optimization, and comprehensive analysis tools.
Python: Finding Frequency Solutions for Variable Star Light Curves
Learn to measure frequencies in variable star light curves using Python and Pyriod. Explore periodograms, significance testing, and iterative prewhitening for astronomical data analysis.
Introduction to Model Fitting - Gravitational Lensing and Graphical Modeling
Explore gravitational lensing model fitting techniques, from traditional methods to innovative graphical modeling, and learn about PyAutoFit for streamlined probabilistic programming.
Опыт применения нейронных сетей для решения геологических задач КФУ
Изучите применение нейронных сетей в геологии, повысьте эффективность решения задач и расширьте профессиональные навыки в этой области.
Применение нейронных сетей при интерпретации геофизических данных - Часть I
Изучите применение нейронных сетей для интерпретации геофизических данных, включая основы и практические аспекты их использования в геофизике.
Обработка данных 3
Освойте методы обработки данных для повышения эффективности в геологии и нефтегазовых технологиях. Развивайте навыки анализа и управления информацией.
Анализ и Обобщение Результатов Контроля Разработки - Современная База Данных, Структура и Классификация
Изучите методы анализа и обобщения результатов контроля разработки, а также структуру и классификацию современных баз данных.
Statistical Network Analysis - Course 2
Explore statistical network analysis techniques with experts from Texas A&M and Wisconsin. Gain insights into discrete probability, collaborate on open problems, and advance your research in this month-long program.
Statistical Network Analysis - Course 2
Explore statistical network analysis techniques with experts from Texas A&M and Wisconsin. Gain insights into discrete probability, collaborate on open problems, and advance your research in this month-long program.
Statistical Network Analysis - Course 2
Explore statistical network analysis techniques with experts from Texas A&M and Wisconsin. Gain insights into discrete probability, collaborate on open problems, and advance your research in this month-long program.
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.
Leveraging the Allen Brain Observatories
Explore neural dynamics through Allen Brain Observatories, gaining insights into brain function and advanced neuroscience research techniques.
Data in our Day to Day: Beyond the Basics
Explore advanced data concepts and applications in otolaryngology, enhancing clinical decision-making and research practices beyond fundamental principles.
What Business Stakeholders Want to See from ML Teams
Explore ML team expectations from business stakeholders, AI in software development, and successful entrepreneurship strategies with insights from tech industry expert Peter Guagenti.
AI Agents for Autonomous Labs - Tutorial 4
Explore AI agents for autonomous labs, focusing on their applications and potential in scientific research and experimentation.
Neural Scaling Laws - Fitting Scaling Laws for Scientific Foundation Models - Tutorial 3
Explore neural scaling laws and learn techniques for fitting scaling laws to scientific foundation models in this advanced tutorial.
Discovery in High Dimensions - 2008
Explore statistical methods for uncovering hidden structures in high-dimensional data from various fields, including genetics, astronomy, and consumer behavior.
Game Programming: C++ Visual Code Profiling - Lecture 20
Explore C++ game programming profiling techniques, including Singletons, event-based, statistical, and instrumentation profilers. Learn to implement a Profiler class and use macros for efficient code timing and analysis.
Follow the Data: Memory-Centric Designs for Modern Datacenters
Explore data-driven approaches for memory architecture in exascale supercomputing and cloud memory disaggregation. Gain insights into system-level memory problems and their solutions.