AI One Can Trust
Explore trustworthy AI principles and applications with Dr. Biplav Srivastava, focusing on ethical considerations and practical implementations in various domains.
Introduction to AI
Explore the fundamentals of artificial intelligence and its impact on businesses with insights from Dr. Amit Sheth's comprehensive overview.
PhD Dissertation Overview - Part 1
Explore key insights from a PhD dissertation overview, focusing on advanced research topics and methodologies in artificial intelligence.
PhD Overview by Students - Lecture 16
Gain insights into the PhD experience through student perspectives, guided by Dr. Sheth's expertise in AI research and academia.
Stuff I've Seen: A System for Personal Information Retrieval - 2013
Explore a unified system for personal information retrieval, leveraging contextual cues to easily find and re-use previously seen content across various digital formats.
Accurate Medium-Range Global Weather Forecasting with 3D Deep Neural Networks
Explore AI-powered global weather forecasting using 3D deep networks and Earth-specific priors. Learn about Pangu-Weather's accuracy in medium-range predictions and extreme weather tracking.
Empowering the Data Science Ecosystem for Whole Genome Sequencing Analysis Using ML Methods and Tools
Explore advanced methods for analyzing whole genome sequencing data using machine learning and ensemble techniques. Learn to leverage biobanks and electronic health records for powerful genetic insights.
Graphon Cross-Validation: Assessing Models on Network Data
Explore graphon cross-validation techniques for network data analysis, enhancing model accuracy and generalizability through innovative validation methods and theoretical insights.
From a Rebellious Individualist to Embracing Mentorship - Lessons Learned
Explore the journey from skeptical mentee to dedicated mentor, uncovering the vital role of mentorship in professional growth and career development.
Methods for Computational Biology and Drug Discovery
Explore fundamental computational methods in physics and chemistry, presented by their creators, with insights into their development and applications.
How to Build Data Pipelines for ML Projects with Python Code
Learn to build data pipelines for machine learning projects using Python. Explore ETL vs ELT, extraction, transformation, loading, and orchestration. Includes practical example of processing YouTube video transcripts.
How to Manage Data Science Projects - A 5-Step Framework
Discover a 5-step framework for managing data science projects, including a case study on a YouTube video search tool. Learn the project manager's crucial role in implementation.
Introduction to Decision Trees - Gini Impurity and Python Code
Learn decision tree fundamentals, including Gini impurity and Python implementation, through a beginner-friendly introduction with concrete examples and code for sepsis survival prediction.
Causal Effects via Propensity Scores - Introduction and Python Implementation
Explore propensity scores for causal effects in observational data. Learn three methods: matching, stratification, and inverse probability weighting. Includes Python example and cautionary notes.
Automating Data Pipelines with Python and GitHub Actions - Code Walkthrough
Automate data pipelines using Python and GitHub Actions. Learn to create ETL scripts, set up repositories, configure workflows, and implement ML applications for efficient data processing.
Building Machine Learning Solutions with Python - Code Walkthrough
Develop a semantic search tool for YouTube videos using Python, focusing on experimentation, evaluation, and UI building in machine learning solutions.
How to Conduct Medical R&D with QiML Algorithms and Architectures
Explore quantum-inspired machine learning algorithms and architectures for advancing medical research and development in healthcare.
Dynamic Fleet Size and Order Assignment Problem - Coffee Talk
Explore dynamic fleet size and order assignment in logistics, balancing rental costs and demand uncertainty through stochastic optimization and algorithmic decision-making.
The Role of Convexity in Data-Driven Decision-Making
Explore data-driven decision-making through distributionally robust optimization, focusing on computation, statistics, and real-time implementation aspects. Gain insights into online optimization applications.
Quantifying Artistic Experiences: How Art Metadata Can Be Used to Understand Audiences' Encounters with Art
Explore computational analysis of art metadata to understand audience experiences and improve art viewing, using topic models, NLP, and image extraction techniques.
How to Boost a Cloud-Native Lakehouse with 2X Performance
Boost cloud-native lakehouse performance using Kubernetes, Spark, and other open-source technologies. Learn to overcome challenges in resource management, task scheduling, and storage interconnection for enhanced analytics.