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.
Python for Data Science - Doing Math with Python
Learn essential math operations in Python for data science, including multiplication and exponents, using Jupyter Notebooks as a powerful computational tool.
Intro to Plotly Express - Complex Interactive Charts with One Line of Python Code
Create interactive data visualizations, including the Gapminder Animation, using Plotly Express in Python with minimal code. Learn to build and enhance plots step-by-step for effective storytelling.
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.
Who Counts? Sex and Gender Configurations of "Persons Capable of Pregnancy"
Explore sex and gender configurations in data, focusing on the concept of "persons capable of pregnancy" and its implications for counting and categorization in research and policy.
Tensor Decompositions and Their Applications
Explore advanced tensor decomposition techniques and their applications in latent variable models, phylogenetics, mixture models, and orbit retrieval with MIT's Ankur Moitra.
Tensor Decompositions and Their Applications
Explore tensor decompositions and their applications in latent variable models, focusing on Jennrich's algorithm and its use in various fields like phylogenetics and mixture models.
Introduction to the Geometry of Tensors
Explore the geometric perspective of tensors, their applications, and how this viewpoint enhances understanding in various fields. Gentle introduction suitable for beginners.
Low Rank Tensor Methods in High Dimensional Data Analysis
Explore low rank tensor methods for analyzing high-dimensional data in various fields. Learn about recent progress, challenges, and applications in extracting information from multilinear arrays.
Learning Diagonal Gaussian Mixture Models and Incomplete Tensor Decompositions
Explore parameter learning in diagonal Gaussian mixture models through incomplete symmetric tensor decompositions, with applications in tensor approximation and stability analysis.
Hidden Variables in Linear Non-Gaussian Causal Models
Explore hidden variables in linear non-Gaussian causal models, using high-order cumulant information to uncover causal structures in data science applications with multiple observed variables.
Sex as a Biological Variable - IPAM at UCLA
Explore the impact of sex as a biological variable in scientific research, examining biases and implications for data analysis and interpretation in various fields.
Evelynn Hammonds - The Physician's Negro - IPAM at UCLA
Explore historical intersections of race, gender, and medicine in this thought-provoking talk on "The Physician's Negro" by Harvard scholar Evelynn Hammonds at UCLA's IPAM workshop.
Deep Learning for Anomaly Detection - Expanding Our Marker Vocabulary
Explore deep learning techniques for anomaly detection in medical imaging, expanding marker vocabulary to enhance diagnostic capabilities and improve patient outcomes.
Physics-Informed Dynamic Mode Decomposition
Explore how physical laws enhance dynamic mode decomposition, improving model accuracy and generalization in complex systems analysis. Learn techniques for integrating conservation, symmetry, and other principles.
Robust Principal Component Analysis
Explore robust PCA for handling corrupted data in fields like fluid mechanics and image processing. Learn its applications and importance in data-driven science and engineering.