Toda la bibliografía que necesitas para tus estudios en Data & AI. Aquí encontrarás una amplia selección de e-books en Data & AI. ¿No encuentras lo que buscas? Busca por ISBN, título o autor.
4948 Libros
Bayesian Analysis with Python
Christopher Fonnesbeck, Osvaldo Martin, Thomas Wiecki
256 kr
Building ETL Pipelines with Python
Brij Kishore Pandey, Emily Ro Schoof
180 kr
Azure Data Factory Cookbook
Dmitry Anoshin, Dmitry Foshin, Tonya Chernyshova, Xenia Ireton
282 kr
Data Labeling in Machine Learning with Python
Vijaya Kumar Suda
Kibana 8.x – A Quick Start Guide to Data Analysis
Krishna Shah
Learn Grafana 10.x
Eric Salituro
216 kr
Machine Learning for Emotion Analysis in Python
Allan Ramsay, Tariq Ahmad
Learn Microsoft Fabric
Arshad Ali, Bradley Schacht
231 kr
Mastering MongoDB 7.0
Arek Borucki, Elie Hannouch, Leandro Domingues, Malak Abu Hammad, Marko Aleksendrić PH.D., Rachelle Palmer, Rajesh Nair
461 kr
Interpretable Machine Learning with Python
Aleksander Molak, Denis Rothman, Serg Masís
Redis Stack for Application Modernization
Luigi Fugaro, Mirko Ortensi
190 kr
Database Design and Modeling with Google Cloud
Abirami Sukumaran, Bagirathi Narayanan, Priyanka Vergadia
TinyML Cookbook
Gian Marco Iodice
226 kr
Active Machine Learning with Python
Margaux Masson-Forsythe
Unleashing the Power of Data with Trusted AI
Wendy Turner-Williams
640 kr
Machine Learning Infrastructure and Best Practices for Software Engineers
Miroslaw Staron
Machine Learning with Qlik Sense
Hannu Ranta
Synthetic Data for Machine Learning
Abdulrahman Kerim
Generative AI Art
Oliver Theobald
62 kr
Building AI Applications with ChatGPT APIs
Martin Yanev
Extending Power BI with Python and R
Luca Zavarella, Rajat Talwar
Debugging Machine Learning Models with Python
Ali Madani
Generating Creative Images With DALL-E 3
Holly Picano
205 kr
Streamlit for Data Science
Tyler Richards