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Gwendolyn Stripling, Michael Abel
Low-Code AI

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using…

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Ethem Alpaydin
Machine Learning

The MIT Press Essential Knowledge Series

"An updated introduction for generalists to this powerful technology, its applications and possible future directions"--

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Olivier Caelen: Developing Apps with GPT-4 and ChatGPT, Buch

Olivier Caelen, Marie-Alice Blete
Developing Apps with GPT-4 and ChatGPT

This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and ben…

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EUR 55,14*

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Dale Lane
Machine Learning for Kids

A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch pr…

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Leslie Valiant
The Importance of Being Educable

"In the age of AI, why our future depends on better understanding what makes us human. We are at a crossroads in history. If we hope to share our planet successfully with one another and the AI systems we…

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David Tan: Effective Machine Learning Teams, Buch

David Tan, Ada Leung, David Colls
Effective Machine Learning Teams

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bri…

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Rui Machado: Analytics Engineering with SQL and DBT, Buch

Rui Machado, Helder Russa
Analytics Engineering with SQL and DBT

With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. dbt (data build tool…

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Krishnendu Chaudhury
Math and Architectures of Deep Learning

Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. YouGÇÖll peer i…

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