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Data Science

Proofs for Advanced Data Science and Analytics with Python – Done

After more than a year of writing, revising and proof-checking, I’ve finally completed the proofs for the second edition of Advanced Data Science and Analytics with Python. The new edition expands coverage of transformers, generative AI, large language models, vector search, graph embeddings and modern deployment workflows — reflecting just how dramatically the AI landscape has evolved since 2020.

From Tokens to Transformers

Rethinking NLP in the Second Edition of Advanced Data Science and Analytics with Python When I first wrote Advanced Data Science and Analytics with Python, natural language processing (NLP) occupied a niche corner of the data… Read More »From Tokens to Transformers

Forecasting the Future: Time Series, Prophets, and Cross-Validation

The second edition of Advanced Data Science and Analytics with Python features significant updates, focusing on trustworthy model building and practical forecasting. A chapter dedicated to Meta’s Prophet framework discusses its strengths in handling seasonality and trends, emphasising robust evaluation methods to ensure forecasts remain reliable in real-world applications.