Building Value into Machine Learning Models and Articulating Their Worth
Gain insights on creating valuable machine learning models and effectively communicating their worth to stakeholders, focusing on WEKA and Python platforms.
Oh No! Not Another Data Grid! - Alternatives for Effective Data Visualization
Explore alternatives to data grids for effective data visualization. Learn to collaborate with users, identify antipatterns, and choose appropriate controls to enhance data analysis experiences.
A User Guide to Transformers
Explore practical applications of transformers with minimal examples for various scenarios, enhancing your understanding of this innovative data analysis tool.
Spark at Scale: Engineering Strategies for Data Science Workflows
Optimize PySpark applications and slash runtimes using engineering strategies for data science workflows, illustrated through a case study on in-store availability reporting.
Society 5.0 - Assuring Privacy, Ethics, and Trustworthiness in an AI-Driven World
Explore privacy, ethics, and trustworthiness in Society 5.0's AI-driven world. Learn how data scientists can lead in creating a balanced, human-centered digital future.
The Case for Process Mining: How Data Scientists Can Dramatically Improve Business Operations
Discover how process mining can optimize business operations, uncover inefficiencies, and enhance compliance. Learn to leverage analytics for continuous improvement and operational health monitoring.
Deep Learning Forecasting and Image Data for Pet Care - A Better World for Pets
Explore advanced analytics in pet care, including deep learning forecasting for product manufacturing and image data analysis for understanding pet behavior and early detection of issues.
Data Science in Programmatic Advertising - Exploring Pricing Strategies for Real-Time Bidding at Scale
Explore pricing strategies for real-time bidding in programmatic advertising, focusing on bid shading and supply path optimization to enhance ROI and campaign success at scale.
Data and ML Takeaways After One Year in Fraud Decision Making at Monzo
Explore key insights on data and machine learning in fraud detection from a Monzo ML scientist's year-long experience in digital banking.
Better Photos - Leveraging Product Insights to Optimize Machine Learning Models
Explore advanced analytical techniques for optimizing photo selection in dating apps. Learn about statistical considerations, product insights, and impact on engagement and revenue metrics.
Scaling Paid Marketing with Automation and Predictive Models
Discover strategies for scaling paid marketing through automation and predictive modeling, enhancing budget planning and optimization for improved marketing efficiency.
Advanced SQL: Top Tips for Dealing with Real-World Data
Level up SQL skills with advanced techniques for messy data, window functions, and arrays to tackle real-world analytics challenges effectively.
Recommenders with Values: Developing Recommendation Engines in a Public Service Organization
Explore how BBC develops recommender systems aligned with public service values, addressing methodological and cultural challenges in content recommendation for diverse audiences.
Vector and Hybrid Search with Elasticsearch
Explore vector and hybrid search in Elasticsearch, covering classic search limitations, models, implementation, and integration with LLMs like ChatGPT for enhanced data retrieval.
Boost Your AI Projects with Unknown Data and Unknown Questions
Leverage data products, implement hybrid model deployment, and drive AI innovation by accessing unknown data with unknown questions for transformative advancements in your projects.
10x the Retrieval Quality of Vector Search - Enhancing Semantic Search and RAG Systems
Enhance vector search retrieval quality by encoding diverse information into single vectors, simplifying deployment and reducing post-processing needs.
MLOps and LLMOps: From Prompt to Observability - Lecture 1
Explore MLOps, AI observability, and LLMOps integration. Gain insights on implementing AI stores for enhanced management and governance of traditional and generative AI solutions across organizations.
Using Generative AI to Better Understand B2B Audiences - From Topic Modelling to Text Classification
Explore how Generative AI and LLMs enhance B2B audience understanding through topic modeling and text classification, improving data quality and audience interest analysis.
Building Intelligent Systems with MoE, Multimodality, and Crowd of Agents
Explore advanced AI systems using MoE, multimodality, and agent crowds. Learn techniques for building composite intelligent systems beyond single algorithms or models.
Can We Trust AI? Understanding and Training Virtual Assistants
Explore the importance of training virtual assistants, their potential pitfalls, and how to ensure AI reliability. Gain insights into effective AI interaction and learn to share your expertise with others.
Prompt Engineering - Chat with Confidence and Build AI Solutions
Discover best practices for prompt engineering, learn to chat confidently with LLMs, and explore AI solution examples in this introductory-level talk.