Building a Large-Scale Front-End Architecture with Reusable Web Components
Discover how to build scalable front-end architecture using Web Components for multibrand, multisite projects. Learn implementation strategies and key insights.
Using MLflow and Databricks to Deploy ML Models in Production
Explore MLflow and Databricks for production ML model deployment. Learn end-to-end management, model tracking, and deployment strategies, plus Databricks' Feature Store and AutoML.
Graphs and Transformers - Exploring the Next AI Frontiers
Explore the evolution of deep learning models, focusing on graphs and transformers as fundamental building blocks in modern AI architectures for natural language, protein research, and image generation.
Accelerating Data Intensive ML Applications with the Graphcore IPU
Explore how Graphcore's Intelligence Processing Unit accelerates AI development, focusing on BERT optimization and implementation using Spell's Cloud MLOps platform and HuggingFace tools.
CRM Platform Migration - Data Engineering Journey and Value Unlocked
Explore the data engineering journey of CRM platform migration, focusing on personalization, cross-channel messaging, and offer optimization to enhance customer engagement and product development.
The Subtle Art of Fixing Silently Failing ML Models
Discover techniques to identify, assess, and proactively fix silent ML model failures. Learn to build reliable, compliant solutions resistant to performance degradation using AI Observability tools.
Identification of Customer Behavioral Attributes through Topic Modelling
Explore customer behavior analysis using topic modeling on retail basket data. Learn to identify shopping patterns and tag customers based on their purchasing habits.
Needles and Haystacks - Machine Learning with Imbalanced Datasets
Explore strategies for training machine learning models on imbalanced datasets, including synthetic data generation, algorithm selection, and sampling techniques. Gain practical insights for tackling rare instance identification challenges.
Forecasting Online Demand for Labour Planning
Learn to forecast online sales demand using data science for accurate resource planning in fulfilment centres, reducing costs and improving delivery times.
Introduction to Data Engineering - Best Practices and Production-Level Infrastructure
Learn best practices for scaling data science projects from local to production, covering infrastructure, reliability, and real-world applications in data engineering.
Introduction to Computer Vision with CNNs
Explore computer vision using CNNs and transfer learning. Learn practical steps for CNN training, including activation functions, and discover applications in image quality assessment and feature extraction.
Introduction to Databases - Foundational Concepts and Business Applications
Gain foundational knowledge of databases, their structure, and applications in solving real-world problems. Explore data types, analytics cubes, and structured data formats.
Introduction to Git and Source Control for Software Development
Learn Git fundamentals for source control in software development, including key concepts and commands demonstrated through practical examples.
Introduction to Graph Databases
Explore graph databases, their comparison to relational databases, and ideal use cases. Learn about property graphs and gain resources for further study in this informative introduction.
Introduction to Machine Learning: Regression - Part 1
Explore regression in machine learning: estimate relationships, predict outcomes, and apply algorithms for continuous target variables. Learn evaluation techniques and practical considerations.
Introduction to Machine Learning: Classification Techniques - Part 2
Explore classification techniques in machine learning, including logistic regression and KNN, with practical insights from industry experts.
Retail Media Science: From Measurement to Optimization
Explore retail media fundamentals, budget optimization techniques, and advanced marketing modeling approaches for effective measurement and optimization in the retail media landscape.
Introduction to Reinforcement Learning - Creating AI for Atari Games
Explore reinforcement learning and convolutional neural networks to create AI for Atari games. Gain practical code examples and navigate deep reinforcement learning complexities.
Leveraging AI to Create Healthier and Safer Online Communities
Explore AI strategies for combating online harm, addressing evolving adversarial behavior, and balancing safety with privacy in digital communities.
Building Vector-Powered Products with User Embeddings
Explore vector embeddings for user modeling, learn vector ops, and discover applications in recommender systems and bot detection. Gain insights from real-world deployments.
Maximizing Engagement Through Privacy-Preserving Content Recommendations
Explore innovative approaches to recommendation systems that maximize engagement while preserving user privacy, using reinforcement learning and semantic analysis techniques.