How to Become a Practical Data Scientist with Kaggle Learn
Discover a comprehensive, free path to becoming a practical data scientist using Kaggle Learn's step-by-step courses, covering Python, machine learning, data visualization, and more.
AutoML Frameworks Accuracy Comparison with Kaggle Data
Explore the performance of popular AutoML frameworks across 10 Kaggle competitions, analyzing their accuracy and effectiveness in tackling real-world machine learning challenges.
Building and Deploying a YouTube Thumbnail Downloader with Python and Streamlit
Learn to create and deploy a Python-based YouTube thumbnail downloader using Streamlit, from concept to live web application. Gain practical experience in building and hosting a useful tool for content creators.
Dust Properties of Galaxies from a Data-Driven Hierarchical Model - John Forbes
Explore data-driven hierarchical modeling to uncover dust properties in galaxies, revealing insights into galaxy formation and evolution through advanced statistical techniques.
Computational and AI Funding Opportunities - Andreas Berlind (NSF)
Explore NSF funding opportunities for computational and AI research in astrophysics. Learn about available grants and how to apply for support in astrostatistics and machine learning projects.
Galaxy Zoo in the Deep Learning Era - Mike Walmsley
Exploring Galaxy Zoo's evolution with deep learning, focusing on self-supervised techniques and new tools for galaxy morphology analysis in the era of big astronomical data.
Galaxy Merger Reconstruction with Generative Graph Neural Networks - Yuan Sen Ting
Exploring galaxy merger reconstruction using generative graph neural networks, advancing our understanding of galaxy formation and evolution through innovative machine learning techniques.
Finding Environmental Measures Sensitive to Halo Properties Using Neural Networks
Exploring neural networks to identify environmental measures that reveal halo properties in galaxy formation studies, enhancing our understanding of cosmic structure evolution.
The Brightest Cluster Galaxy and Intracluster Light - Louise Edwards
Explore the Brightest Cluster Galaxy and Intracluster Light in this talk by Louise Edwards. Gain insights into galaxy clusters, their central galaxies, and the diffuse light between them.
Learning to Simulate the Universe with Deep Learning - Elena Giusarma
Explore deep learning techniques for simulating the universe, focusing on innovative approaches to model cosmic structures and enhance our understanding of galaxy formation and evolution.
Star Formation Histories of Galaxies Near and Far
Explore galaxy formation and evolution through star formation histories, using advanced statistical and machine learning techniques to analyze vast datasets from current and future astronomical surveys.
Outliers - How I Learned to Love Them, and Why You Should Too
Discover the value of statistical outliers in galaxy formation studies. Learn how anomalous galaxies challenge current paradigms and drive new insights in astrophysics and cosmology.
Tracing Dark Matter with Stars - Lina Necib
Explore innovative techniques for detecting dark matter using stellar dynamics. Learn how advanced statistical methods and machine learning are revolutionizing our understanding of galactic structure and evolution.
Building an AutoML Web App with Python, Pandas Profiling, PyCaret, and Streamlit
Build an AutoML web app using Python, Pandas Profiling, PyCaret, and Streamlit in this hands-on tutorial. Learn to create a powerful machine learning tool quickly and efficiently.
Training My Deadlift Bot With MediaPipe and OpenCV
Learn to create a deadlift bot using MediaPipe and OpenCV in this hands-on live stream, exploring practical applications of computer vision and machine learning for fitness tracking.
Can We Use ML to Understand Data Scientists - AI4Code Kaggle Competition EDA
Explore machine learning techniques to analyze data scientists' behavior through the AI4Code Kaggle competition, focusing on exploratory data analysis and insights.
Coming Up With Data Science and Machine Learning Project Ideas
Explore innovative data science and machine learning project ideas in this live coding session, gaining inspiration and insights for your next venture.
Using Scikit-Learn Pipelines for Data Preprocessing with Python
Deep dive into Scikit-Learn Pipelines for efficient data preprocessing in Python, enhancing your machine learning workflow and streamlining model development.
Introduction to AI and Machine Learning
Learn the basics of machine learning and data science, explore AI's role in cybersecurity, and discover how to augment your practice with data. Ideal for beginners interested in applying AI to security challenges.
Command-Line Data-Wrangling for Security Professionals
Mastering command-line tools for efficient data manipulation in offensive security. Learn sorting, regex, grep, find, and JSON processing to enhance your hacking capabilities.
Using Algebraic Factorizations for Interpretable Learning - IPAM at UCLA
Explore Non-negative Matrix Factorization for interpretable learning in imaging, medicine, forecasting, and collaborative filtering. Learn implementation, online, and streaming variations.