Intro to Digital Image Processing Lectures, Spring 2015
Comprehensive exploration of digital image processing techniques, from fundamentals to advanced topics. Covers acquisition, manipulation, analysis, and applications of digital images across various domains.
Digital Signal Processing Lectures, Fall 2014
Comprehensive lectures on digital signal processing, covering signals, systems, transforms, filtering, and advanced topics. Ideal for engineering students seeking in-depth understanding of DSP concepts and applications.
Computer Vision for Visual Effects Lectures Spring 2014
The lectures accompany the textbook Computer Vision for Visual Effects, published by Cambridge University Press in Fall 2012.
Introduction to Programming
Learn Python programming fundamentals, from basic syntax to advanced concepts like recursion and data structures, through comprehensive lectures and hands-on tutorials.
A p-adic Approach to Differential Equations - Lecture 1
Explore a mathematical lecture on p-adic approaches to differential equations in this first installment of a series presented by Masha Vlasenko. Delivered as part of the Workshop on "Algebraicity and Transcendence for Singular Differential Equations" at…
Remove ALL Distractions in One Click - New Photoshop Feature
Explore the groundbreaking Remove Tool in Photoshop Beta, capable of automatically eliminating distractions like people, power lines, wires, and cables with a single click. Test this feature across various images, from simple scenarios to complex challen…
GPU Accelerated Data Curation for Large Language Models
Explore GPU-accelerated data curation techniques for large language models in this 30-minute talk by Ryan Wolf, a Deep Learning Algorithm Engineer at NVIDIA. Learn about the importance of well-curated datasets in scaling LLMs and discover how to create h…
Implementing Data Capture for ML Observability and Drift Detection
Explore the implementation of data capture for machine learning observability and drift detection in this 24-minute conference talk by Pushkar Garg. Dive into the complexities of modern ML systems, including data pipelines and transformations across mult…
Supercharging Your RAG System: Techniques and Challenges - DE4AI
Explore techniques and challenges in supercharging Retrieval-Augmented Generation (RAG) systems in this 40-minute conference talk by Tengyu Ma, Co-founder & CEO of Voyage AI and Assistant Professor of Computer Science at Stanford University. Gain insight…
Turn Data Chaos into AI Strategy with Programmatic AI Data Development
Discover how programmatic data development is revolutionizing enterprise AI specialization in this 27-minute talk by Elena Boiarskaia, Head of Applied Machine Learning at Snorkel AI. Learn about the transformation from disconnected, manual data tasks to…
Building Data Infrastructure at Scale for AI/ML with Open Data Lakehouses
Explore how data lakehouse architecture with Apache Hudi supports real-world predictive ML and vector-based AI use cases in this 30-minute keynote by Vinoth Chandar, creator of Apache Hudi. Learn about ingesting data with minute-level freshness, providin…
Building Hyper-Personalized LLM Applications with Rich Contextual Data - DE4AI
Explore the concept of Full RAG (Retrieval-Augmented Generation) and its potential to revolutionize user experiences across industries in this 28-minute talk by Mike Del Balso, co-founder of Tecton. Examine four levels of context personalization, from ba…
Unified Data and AI Governance with Unity Catalog
Explore the challenges of fragmented governance in multi-vendor data and AI landscapes and discover how Unity Catalog can revolutionize your organization's governance strategy. Learn about the complexities and inefficiencies arising from tool sprawl in c…
11 Lessons Learned from Doing AI Deployments - DE4AI
Discover 11 crucial lessons for successful AI product deployments in this insightful 36-minute talk by Sol Rashidi, a renowned AI innovator and business executive. Gain valuable insights from Sol's extensive experience of building over 200 POCs and deplo…
The Daft Distributed Python Data Engine: Multimodal Data Curation at Any Scale
Explore the Daft distributed Python data engine for multimodal data curation at any scale in this 27-minute talk by Jay Chia. Discover how Daft addresses the fundamental needs of ML/AI data platforms, including terabyte-scale ETL with complex model batch…
Reproducible Data Science Over Data Lakes
Explore reproducible data science techniques for data lakes in this 12-minute conference talk by Ciro Greco, presented at DE4AI. Delve into the challenges of achieving reproducibility in Lakehouse architectures and discover recent advancements made at Ba…
Data Contracts and Observability: Complementary Approaches to Data Quality
Explore the critical roles of data contracts and observability in ensuring data quality and reliability in this 14-minute talk by Mark Freeman. Gain insights into how these two approaches complement each other, with data contracts preventing known issues…
Scaling Data Reliably: A Journey in Growing Through Data Pain Points
Explore the challenges and solutions in scaling data systems reliably in this 16-minute conference talk by Miriah Peterson at MLOps.community. Delve into the concept of Data Downtime and its impact on business outcomes. Learn how Data Reliability Enginee…
An Overview of Common ML Serving Architectures
Explore common machine learning serving architectures in this 18-minute conference talk by Rebecca Taylor, tech lead of Personalization at Lidl e-commerce. Gain insights into the disconnect between academic teachings and industry practices in model deplo…
Data Engineering for Streamlining the Data Science Developer Experience - DE4AI
Explore the challenges and solutions in data engineering for optimizing the data science developer experience in this 12-minute talk by Aishwarya Joshi from Chime. Discover how to enable efficient feature engineering and deployment for low-latency infere…
Partnering with Product for Effective Data Ingestion and Training Data
Discover strategies for effective collaboration between data science and product teams in this 19-minute talk by Daniela Santisteban from MLOps.community. Learn how to leverage product management partnerships to ensure quality data ingestion and training…