Learning about Machine Learning
Explore machine learning fundamentals with expert Roger D. Amos in this concise 25-minute lecture from QCHEM LAB at KNU.
cadCAD.jl - A Modeling Library for Generalized Dynamical Systems
Explore generalized dynamical systems modeling with cadCAD.jl. Learn to simulate complex systems, evolve data structures, and gain iterative insights for enhanced system engineering and data science workflows.
Tabular Learning: Skrub and Foundation Models - Automating Data Wrangling
Explore tabular learning with skrub library, automating data wrangling and simplifying complex pipelines for efficient machine learning on organizational data.
Digital Manufacturing in Stainless Steel Industry
Explore digital manufacturing in the stainless steel industry and its impact on operational efficiency, yield, and quality.
VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models
Explore interactive visualization for comparing and selecting predictive models, integrating performance, instance, and feature-level analysis to support informed decision-making in machine learning.
Neural Graph Databases: Combining GNNs with Labeled Property Graphs
Explore neural graph databases, combining graph databases with graph neural networks using LPG2vec encoder for improved prediction accuracy in complex graph datasets.
Co-design Hardware and Algorithm for Vector Search
Explore hardware-algorithm co-design for efficient vector search on FPGAs, enhancing performance in large-scale information retrieval and machine learning systems.
Parity Calibration in Sequential Regression - Forecasting Increase-Decrease Events
Explore parity calibration in sequential regression, focusing on predicting increase-decrease events rather than exact values. Learn its applications in epidemiology, weather forecasting, and nuclear fusion control.
Itemset Mining and the A Priori Algorithm
Explore the A Priori algorithm for efficient itemset mining, a crucial technique in data analysis and association rule learning.
Introduction to ML Ops and Continuous Delivery for Machine Learning
Explore ML operations and the Continuous Delivery for Machine Learning Model in this concise introduction to MLOps.
Decision Trees in Neuro-Symbolic AI
Master decision tree algorithms for effective data classification and prediction in machine learning applications.
Launching Jupyter and Submitting Homework in ME3255 - Lecture 1
Launch Jupyter and learn how to submit HW_01 in Google Classroom for ME3255, covering essential steps for successful assignment completion.
Using Jupyter and Submitting Your First Homework - ME5180
Learn to use Jupyter Notebooks and submit your first homework assignment in this practical guide for ME5180 students.
Functions, Docstrings, and Working in Jupyter - ME3255 Homework 1
Learn to create functions, write effective docstrings, and navigate Jupyter notebooks for efficient coding and documentation in engineering applications.
ME3255: Loading Data into Pandas and Boolean Indexing - Lecture 1
Learn to load data into Pandas, perform boolean indexing, and explore unique operations and color maps in this concise tutorial on data manipulation techniques.
ME3255 - Evaluating a NYSE Monte Carlo Model
Evaluate a NYSE Monte Carlo model using advanced statistical techniques. Gain insights into financial modeling and risk assessment for stock market analysis.
Using, Reading, and Improving ChatGPT Integration Methods - ME3255
Explore advanced ChatGPT integration techniques to enhance usage, comprehension, and optimization for improved AI-powered solutions.
Model Openness Framework: The Path to Openness, Transparency and Collaboration in Machine Learning Models
Explore the Model Openness Framework for machine learning, promoting transparency and collaboration. Learn about its classification system, implementation tools, and benefits for AI ecosystem development.
Survivorship Bias - Understanding the Hidden Fallacy in Success Stories
Explore the concept of survivorship bias and its impact on decision-making through real-world examples and insights from a passionate educator.
Question Answering over Documents with RAG - Lecture 6.4
Explore Retrieval-Augmented Generation (RAG) to enhance LLMs with external data, improving accuracy and relevance in corporate settings. Learn to set up and query a RAG system using sample employee data.
Creating PivotTables and PivotCharts Dashboards with Slicers in Excel
Learn to create interactive Excel dashboards using PivotTables, PivotCharts, and Slicers. Master data visualization techniques, customize slicer appearance, and integrate timeline slicers for date-based filtering.