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Demystify AI hype and foster collaboration at M&S through BEAM Academy events, learning opportunities, and thought leadership for safe, beneficial AI adoption across the business.
Explore novel time-series processing pipeline using Apache Arrow, S3, Polars/DuckDB, and WASM for efficient forecasting and MLOps deployment.
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.
Develop a lean data science platform from scratch, scaling from individual to team projects while addressing key challenges and maximizing efficiency.
Explore statistical pitfalls in data analysis, from Simpson's Paradox to hypothesis testing. Learn to critically evaluate models and metrics, understanding their real-world implications beyond simple accuracy measures.
Deploy and manage APIs efficiently using IBM API Connect. Learn to develop, secure, and upgrade APIs in a single environment, streamlining the process for beginners and experienced developers alike.
Explore vector embeddings' impact on information compression, search, and knowledge retrieval. Learn how enterprises can leverage this technology to enhance customer understanding and interaction.
Explore machine learning applications in cryptocurrency and NFTs, analyzing blockchain technology through deep learning models and discussing ML solutions for enhanced blockchain security.
Explore how data science analyzes mental health platform usage to understand UK mental health trends and connect people with local services.
Explore Trino's capabilities for efficient data querying across diverse sources, optimizing pipelines, and enhancing analytics performance in complex data environments.
Explore key aspects of data governance empowering data scientists to make informed decisions and extract value from datasets. Learn approaches fostering data trust and safeguarding against biases.
Explore vector and hybrid search in Elasticsearch, covering classic search limitations, models, implementation, and integration with LLMs like ChatGPT for enhanced data retrieval.
Explore how BBC develops recommender systems aligned with public service values, addressing methodological and cultural challenges in content recommendation for diverse audiences.
Master a framework for excelling in technical Data Science interviews, understanding company expectations, and avoiding common pitfalls.
Explore innovative Causal Modelling Agents that combine LLMs with Deep Structural Causal Models for enhanced causal discovery, including applications in Alzheimer's Disease research.
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