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#Data Labeling

Showing: 63 courses
University of Central Florida

Human Activity Recognition - Learning with Less Labels and Privacy Preservation

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Learn advanced techniques for human activity recognition with limited labeled data and privacy preservation, including pseudoleveling, contrastive learning, and zero-shot approaches.
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14 Lesons
44 minutes
On-Demand
Free-Video
MLOps.community

Turn Data Chaos into AI Strategy with Programmatic AI Data Development

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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…
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1 Lesons
27 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Deploying Efficient Data-Centric AI 100x Faster

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Accelerate AI application development and deployment 100x using dedicated platforms, data labeling, pre-built models, and iterative design. Explore region classification and deep-trained object detection approaches.
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1 Lesons
34 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Deploying Efficient Data-Centric AI 100x Faster

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Accelerate AI application development and deployment 100x using dedicated platforms, data labeling, pre-built models, and AI-automation. Explore region classification and deep-trained object detection approaches.
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1 Lesons
34 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Managing Human in the Loop Systems Without Burning Out Your Engineers

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Explore strategies for managing human-in-the-loop systems efficiently, focusing on Pinterest's approach to labeling, training, and measuring shopping content quality with minimal engineering effort.
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1 Lesons
38 minutes
On-Demand
Free-Video
Microsoft

Know Your Data: Protect and Prevent Data Loss with Microsoft Information Protection

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Discover Microsoft Information Protection's comprehensive solution for data security, compliance, and loss prevention across cloud, on-premise, and endpoint environments.
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1 Lesons
31 minutes
On-Demand
Free-Video
Open Data Science

Leadership and AI

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Explore the critical role of leadership in AI adoption, emphasizing the importance of understanding AI models, their applications, and potential pitfalls to drive organizational success and avoid historical missteps.
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9 Lesons
21 minutes
On-Demand
Free-Video
Linux Foundation

Prepping the Bar - Insights from Cleaning and Labeling a Cocktail Dataset

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Explore data cleaning and labeling techniques using a cocktail dataset, gaining insights for effective data preparation in business analytics projects.
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1 Lesons
16 minutes
On-Demand
Free-Video
Snorkel AI

How Georgetown Helps Data Scientists and SMEs Collaborate on Machine Learning

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Explore Georgetown's approach to enhancing ML project workflows and fostering collaboration between data scientists and subject matter experts using Snorkel.
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1 Lesons
29 minutes
On-Demand
Free-Video
Snorkel AI

Data-Centric AI Approach in Pharmaceutical Industry - AstraZeneca Case Study

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Explore data-centric AI in pharma: personalized doctor education, patient treatment optimization, and real-world data utilization for predictive modeling at AstraZeneca.
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1 Lesons
29 minutes
On-Demand
Free-Video
Open Data Science

Medical Imaging with Azure Machine Learning

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Explore Azure Machine Learning for medical imaging applications, covering data management, model development, deployment, and explainability in healthcare scenarios.
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25 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Open Data Science

Build NLP Model with Azure ML AutoML NLP Capability

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Learn to build NLP models using Azure ML AutoML for tasks like classification and named entity recognition. Explore multilingual support, data labeling, and distributed training for efficient model development.
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12 Lesons
33 minutes
On-Demand
Free-Video
Microsoft

What's New in Azure Machine Learning - Hybrid with Azure Arc and More

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Explore Azure Machine Learning's latest features: hybrid with Azure Arc, output datasets, labeling, and interactive data preparation. Learn about custom roles, RBAC, and responsible AI development.
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1 Lesons
30 minutes
On-Demand
Free-Video
The Full Stack

Jeremy Howard on Platform.ai and Fast.ai - Full Stack Deep Learning - March 2019

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Explore machine learning innovations with Jeremy Howard, covering data labeling, deep learning successes, and insights from Fast.ai and Platform.ai for effective AI development.
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1 Lesons
45 minutes
On-Demand
Free-Video
The Full Stack

Data Management - Full Stack Deep Learning - March 2019

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Explore data management essentials: labeling, storage, versioning, and processing. Learn about data flywheels, annotation techniques, and efficient workflows for deep learning projects.
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17 Lesons
51 minutes
On-Demand
Free-Video
The Full Stack

Lukas Biewald on Founding Weights & Biases and FigureEight - Full Stack Deep Learning - March 2019

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Insights from AI industry pioneer on founding data labeling and ML tools companies, exploring challenges, breakthroughs, and the future of machine learning applications.
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53 Lesons
44 minutes
On-Demand
Free-Video
Open Data Science

Teaching Machines Through Human Explanations

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Explore an explanation-based learning framework for NLP that improves label efficiency and reliability, reducing reliance on extensive datasets and machine learning expertise.
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19 Lesons
45 minutes
On-Demand
Free-Video
Data Science Dojo

ChatGPT Unleashed - Best Practices for NLP Applications

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Explore ChatGPT's capabilities, best practices for NLP applications, and hands-on demos. Learn about language models, their history, and practical use cases in this comprehensive webinar.
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9 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Data Science Dojo

Getting High-Quality Data for Your Computer Vision Models - Building Computer Vision Models

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Explore the importance of high-quality data in computer vision, focusing on data collection, annotation, and bias mitigation. Learn strategies for building representative datasets for AI models.
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11 Lesons
50 minutes
On-Demand
Free-Video
Yannic Kilcher

Self-Driving from Vision Only - Tesla's Self-Driving Progress by Andrej Karpathy - Talk Analysis

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Analysis of Tesla's vision-only self-driving progress, discussing data labeling, edge-case sampling, neural network training, and the advantages of camera-only systems over multi-sensor approaches.
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10 Lesons
24 minutes
On-Demand
Free-Video
Open Data Science

Making MLOps Uncool Again

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Learn to build an automated MLOps workflow using Git, GitHub, and open-source tools, covering the entire ML model lifecycle from data labeling to prediction monitoring.
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10 Lesons
30 minutes
On-Demand
Free-Video
The Full Stack

Data Management - Full Stack Deep Learning - Spring 2021

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Explore ML infrastructure for data management: ingestion, storage, processing, exploration, labeling, and versioning. Learn about tools and best practices for effective dataset handling in deep learning projects.
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10 Lesons
1 hour
On-Demand
Free-Video
Open Data Science

How to Set Up an ML Data Labeling Pipeline - Best Practices and Examples

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Learn best practices for building ML data labeling pipelines through crowdsourcing. Explore real-life examples, requirements, and techniques for high-quality labeled data in supervised machine learning projects.
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22 Lesons
45 minutes
On-Demand
Free-Video
Nvidia

Deploy AI with AWS ML and IoT Services on Jetson Nano

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Learn to deploy AI models on Jetson Nano using AWS ML and IoT services. Explore SageMaker, Greengrass, and real-time video processing for edge computing applications.
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38 Lesons
1 hour 4 minutes
On-Demand
Free-Video
tinyML

TinyML Talks Ukraine - Practical TinyML for Industrial Safety and Personnel Performance Monitoring

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Practical implementation of TinyML for industrial safety and worker performance monitoring using custom hardware and TensorFlow Lite for motion recognition from IMU data.
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36 Lesons
1 hour
On-Demand
Free-Video
tinyML

TinyML Talks - Dr. Dominic Binks- TinyML Doesn’t Need Big Data, It Needs Great Data

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Explore challenges and solutions in obtaining quality audio data for tinyML sound recognition, focusing on data sources, collection methods, labeling strategies, and performance evaluation.
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9 Lesons
34 minutes
On-Demand
Free-Video
Databricks

Identifying Sensitive Data and Mitigating Risk in Apache Spark and Databricks

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Discover sensitive data in Apache Spark and Databricks using BigID's platform. Learn to scale discovery, label data, and apply necessary guardrails for compliance and risk mitigation in data analytics.
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8 Lesons
27 minutes
On-Demand
Free-Video
Linux Foundation

Getting ML Right in a Complex Data World

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Explore efficient ML experimentation using data versioning tools to reproduce iterations, capture training data versions, and build intuitive infrastructure without duplicating resources.
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1 Lesons
31 minutes
On-Demand
Free-Video
Linux Foundation

Labeling Tools are Great, but What About Quality Checks?

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Explore effective quality control strategies for data labeling in machine learning, ensuring accuracy and reliability in AI model training.
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1 Lesons
29 minutes
On-Demand
Free-Video
Alan Turing Institute

Ghost Work: The Human Labour Behind AI Technology

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Explore the hidden workforce behind AI technology, examining ethical concerns and labor practices in data labeling and crowdsourcing platforms for AI development.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Venelin Valkov

Local Llama 3.2 (3B) Tutorial - Summarization, Structured Text Extraction, and Data Labelling

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Explore Llama 3.2 (3B) on Ollama for summarization, data extraction, and labeling. Learn setup, coding, and practical applications in this hands-on tutorial.
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13 Lesons
19 minutes
On-Demand
Free-Video
Black Hat

Measuring the Speed of the Red Queen's Race - Adaption and Evasion in Malware

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Explore the dynamic evolution of malware and security measures using machine learning to quantify adaptation rates in the ongoing cybersecurity arms race.
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6 Lesons
26 minutes
On-Demand
Free-Video
BSidesLV

Labeling the VirusShare Corpus - Lessons Learned

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Explore insights and challenges in labeling large-scale malware datasets, drawing from experiences with the VirusShare Corpus. Gain valuable lessons for improving malware classification and analysis.
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1 Lesons
30 minutes
On-Demand
Free-Video
NDC Conferences

Developing an Intersectional Framework to Analyze Biases in Artificial Intelligence and Deep Neural

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Explore an intersectional framework for analyzing biases in AI and deep neural networks, focusing on ethical tech development and mitigating discriminatory outcomes in machine learning.
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9 Lesons
23 minutes
On-Demand
Free-Video
BSidesLV

No Silver Bullet - Multi Contextual Threat Detection via Machine Learning

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Explore multi-contextual threat detection using machine learning, covering big data processing, modeling adversaries, and building custom solutions for defense at scale.
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23 Lesons
53 minutes
On-Demand
Free-Video
TEDx

Using AI, 3D Printing and IoT in Diabetic Eye and Feet Diseases

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Innovative use of AI, IoT, and 3D printing to tackle diabetic eye and foot complications, offering affordable screening tools and custom orthotics for improved healthcare accessibility in India.
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18 Lesons
23 minutes
On-Demand
Free-Video
WeAreDevelopers

When Humans Teach Machines

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Explore an interactive DIY tool for non-data scientists to train and deploy classifiers, simplifying topic identification in large document sets with minimal data collection and quick model training and tuning.
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1 Lesons
31 minutes
On-Demand
Free-Video
WeAreDevelopers

Data Science in Action

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Explore real-world applications of data science, from label data to unsupervised machine learning, with practical examples in wind energy, object detection, and automotive industries.
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15 Lesons
32 minutes
On-Demand
Free-Video
PyCon US

Machine Learning on Encrypted Data with CrypTen

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Learn to develop machine learning models on encrypted data using CrypTen, a PyTorch-based framework for secure computing. Explore feature aggregation, data labeling, dataset augmentation, and model hiding techniques.
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1 Lesons
26 minutes
On-Demand
Free-Video
MLOps.community

Data Labeling Best Practices for Fine-Tuning LLMs

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Discover best practices for data labeling in LLM fine-tuning. Learn strategies for hiring, data preparation, and managing labelers to enhance AI model performance.
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1 Lesons
13 minutes
On-Demand
Free-Video
Python Tutorials for Digital Humanities

How to Prepare Annotations in Prodigy for Training SpaCy SpanCat Models - Part 2

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Master the process of preparing and using Prodigy annotations to train SpanCat models in spaCy, focusing on data preparation, annotation techniques, and model training workflows.
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5 Lesons
12 minutes
On-Demand
Free-Video
Data Science Conference

AI-Driven Solutions for Text Anonymization - Implementing Machine Learning for Data Privacy

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Explore AI-driven text anonymization techniques, from data labeling and NLP model training to implementing MLOps principles and human-in-the-loop processes for enhanced data privacy protection.
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15 Lesons
26 minutes
On-Demand
Free-Video
GAIA

Synthetic Data for Computer Vision Problems When Real Annotation Is Too Expensive

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Explore synthetic data generation for computer vision tasks when labeled data is scarce. Learn tools and approaches to build effective models using primarily synthetic data.
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1 Lesons
26 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Bogged Down by Annotation - Why Subject Matter Experts Should Do the Heavy Lifting

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Discover why subject matter experts should handle data annotation, improving efficiency and accuracy in machine learning projects.
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1 Lesons
20 minutes
On-Demand
Free-Video
Snorkel AI

Data-Centric AI in Comcast's Voice and Conversational Interfaces

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Explore Comcast's data-centric approach to AI voice and conversational interfaces, powering innovative technology solutions.
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1 Lesons
25 minutes
On-Demand
Free-Video
Data Council

Human-in-the-Loop Concept for Building Fully Adaptive ML Models Using Crowdsourcing

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Explore building adaptive ML models using crowdsourcing to combat concept drift. Learn techniques for drift monitoring and human-in-the-loop automation in machine learning systems.
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1 Lesons
29 minutes
On-Demand
Free-Video
tinyML

Deploying TinyML Models at Scale: Insights on Monitoring and Automation

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Insights on scaling TinyML deployments, emphasizing continuous model monitoring, data preparation, and automated ML development for reliable IoT applications in diverse environments.
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1 Lesons
21 minutes
On-Demand
Free-Video
Databricks

Best Practices for Data Preparation in Generative AI Development

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Explore data preparation techniques for generative AI, covering quality, diversity, labeling, preprocessing, and optimization. Gain practical insights for enhancing model performance and accuracy.
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1 Lesons
19 minutes
On-Demand
Free-Video
Roboflow

Intro to Computer Vision - Fireside

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Explore computer vision fundamentals, from basic concepts to problem-solving approaches, model building, and ethical considerations in this comprehensive introduction.
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9 Lesons
45 minutes
On-Demand
Free-Video
DigitalSreeni

Annotate Images Like a Pro: Python Image Annotation Tool Walkthrough

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Master image annotation with a Python-based tool. Learn installation, project creation, manual and semi-automatic annotation techniques, class organization, and exporting to various formats. Explore additional features for data management and augmentatio…
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1 Lesons
32 minutes
On-Demand
Free-Video
Data Science Festival

Gone Phishing: Lessons Learned Training a Phishing Email Classifier with Highly Imbalanced Biased Labels

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Explore challenges and solutions in training a phishing email classifier with imbalanced, biased data. Learn practical strategies for evaluation and deployment in real-world scenarios.
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1 Lesons
49 minutes
On-Demand
Free-Video
OpenSource Connections

Data Labeling for Search Relevance Evaluation

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Explore data labeling techniques for search relevance evaluation, focusing on human-in-the-loop pipelines, ranking metrics, and crowdsourcing best practices.
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25 Lesons
54 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Overcoming the Cold Start Problem: How to Make New Tasks Tractable

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Explore strategies to overcome the cold start problem in AI, focusing on data aggregation and leveraging pre-trained models for efficient scaling of machine learning applications.
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1 Lesons
45 minutes
On-Demand
Free-Video
Snorkel AI

The Art of Building AI Systems - Rapid Training Data Creation

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Learn techniques for rapidly creating annotated training data to build accurate and robust AI systems using clinical reports.
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1 Lesons
30 minutes
On-Demand
Free-Video
Snorkel AI

New in Snorkel Flow 2024.R1: Enhanced Security, Image Categorization, and More

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Explore Snorkel Flow's latest release: enhanced security, image categorization, LLM integrations, and document intelligence workflows for advanced AI-driven insights and custom solutions.
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7 Lesons
52 minutes
On-Demand
Free-Video
Snorkel AI

How to Accelerate AI Training With Programmatic Data Labeling - Snorkel Flow Demo

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Accelerate AI development with programmatic data labeling. Learn efficient knowledge capture, automated labeling, and iterative improvement techniques for enterprise AI initiatives.
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1 Lesons
52 minutes
On-Demand
Free-Video
Snorkel AI

Alfred: Building Training Data with Foundation Models and Weak Supervision - Snorkel AI

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Streamline data labeling with Alfred, combining foundation models and weak supervision to create high-quality training datasets for academic research and machine learning projects.
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1 Lesons
30 minutes
On-Demand
Free-Video
Snorkel AI

Curate Training Data via Labeling Functions - 10 to 100x Faster

0 rewiews
Accelerate data labeling for AI models using programmatic techniques. Learn to capture SME knowledge, improve label accuracy, and explore real-world use cases in banking, pharma, and healthcare.
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1 Lesons
57 minutes
On-Demand
Free-Video
NashKnolX

MLOps on Google Vertex AI: Enhancing Machine Learning Workflows

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Explore Google's Vertex AI suite to enhance MLOps efficiency and management in machine learning workflows, focusing on its comprehensive capabilities.
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1 Lesons
55 minutes
On-Demand
Free-Video
MLOps.community

Foundational Models in Enterprise AI - Challenges and Opportunities

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Explore the future of AI with foundation models, their enterprise applications, and challenges. Learn about Snorkel AI's approach to optimizing these models for cost, quality, and control.
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15 Lesons
53 minutes
On-Demand
Free-Video
MLOps.community

Solving the Last Mile Problem of Foundation Models with Data-Centric AI

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Explore data-centric AI techniques to enhance foundation models' accuracy for complex, high-value use cases. Learn to overcome hallucinations, biases, and misclassifications in real-world AI applications.
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1 Lesons
37 minutes
On-Demand
Free-Video
University of Central Florida

Towards Label Efficiency and Privacy Preservation in Video Understanding

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Explore advanced techniques for efficient video analysis while maintaining data privacy, focusing on label-efficient learning methods and privacy-preserving frameworks for video understanding.
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1 Lesons
55 minutes
On-Demand
Free-Video
Snorkel AI

Fine-tuning AI Models for Healthcare Policy Analysis with AWS and Snorkel Flow

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Master AWS and Snorkel Flow integration to enhance AI models through structured fine-tuning workflows, focusing on improving accuracy in analyzing health insurance policy documents and generating reliable responses.
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10 Lesons
11 minutes
On-Demand
Free-Video