Advanced Data Science and Analytics with Python by Jes Rogel-Salazar
The second edition of Advanced Data Science and Analytics with Python reflects the rapid transformation of artificial intelligence in recent years. While preserving its practical, modular structure, this edition significantly expands coverage of the techniques shaping modern AI practice.
The deep learning chapter has been substantially broadened to include reinforcement learning and generative adversarial networks, alongside a fully developed exploration of transformer architectures. Generative AI now takes centre stage, with dedicated coverage of self-attention, BERT, GPT, large language model evaluation and API-based interaction. Emerging agentic systems are introduced as part of the evolving AI landscape. Natural language processing has been enhanced with word embeddings, contextual representations and vector search, while network analysis now includes graph representation learning and embedding techniques. The chapter on data product deployment has been strengthened with modern Core ML workflows and new coverage of on-device Foundation Models, bridging experimentation and production.
Fully updated for the contemporary Python ecosystem, this edition equips practitioners with the tools and architectural understanding required to design, build and deploy intelligent systems in today’s AI-driven world.
Jesús Rogel-Salazar is a lead data scientist, founder of RogueLoop, working for companies such as Ortus Technologies, Tympa Health Technologies, Barclays, AKQA, IBM Data Science Studio and Dow Jones. He is a visiting researcher at the Imperial College Business School, UK and a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK.
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Data Mining with R
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Biological Data Mining
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Exploratory Data Analysis Using R
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Automated Data Analysis Using Excel
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Privacy-Aware Knowledge Discovery
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Computational Intelligent Data Analysis for Sustainable Development
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Data Mining for Design and Marketing
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Data Classification
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Statistical Data Mining Using SAS Applications
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Mining Software Specifications
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Contrast Data Mining
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Introduction to Computational Health Informatics
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Social Networks with Rich Edge Semantics
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Graph-Based Social Media Analysis
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Industrial Applications of Machine Learning
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Computational Business Analytics
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Event Mining
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Advances in Machine Learning and Data Mining for Astronomy
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Human Capital Systems, Analytics, and Data Mining
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Practical Graph Mining with R
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Large-Scale Machine Learning in the Earth Sciences
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Support Vector Machines
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Geographic Data Mining and Knowledge Discovery
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Demystifying AI
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Data Science and Machine Learning for Non-Programmers
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Knowledge Discovery from Data Streams
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Data Science and Analytics with Python
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RapidMiner, Second Edition
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Feature Engineering for Machine Learning and Data Analytics
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Text Mining and Visualization
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Knowledge Guided Machine Learning
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Healthcare Data Analytics
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Text Mining
Jesús Rogel-Salazar is a lead data scientist, founder of RogueLoop, working for companies such as Ortus Technologies, Tympa Health Technologies, Barclays, AKQA, IBM Data Science Studio and Dow Jones. He is a visiting researcher at the Imperial College Business School, UK and a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK.
| SKU | Unavailable |
| ISBN 13 | 9781041103608 |
| ISBN 10 | 1041103603 |
| Title | Advanced Data Science and Analytics with Python |
| Author | Jesús Rogel-Salazar |
| Series | Chapman And Hall Crc Data Mining And Knowledge Discovery Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Chapman and Hall/CRC |
| Year published | 2026-08-01 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |