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.
4946 Libros
Practical Guide to Applied Conformal Prediction in Python
Agus Sudjianto, Valery Manokhin
256 kr
Vector Search for Practitioners with Elastic
Bahaaldine Azarmi, Jeff Vestal, Shay Banon
180 kr
Practical Machine Learning on Databricks
Debu Sinha
231 kr
Developing Kaggle Notebooks
Anthony Goldbloom, D. Sculley, Gabriel Preda
OpenAI API Cookbook
Henry Habib, Paul Siegel, Sam McKay
205 kr
Principles of Data Science
Sinan Ozdemir
Data Engineering with AWS
Gareth Eagar
267 kr
Learn PostgreSQL
Enrico Pirozzi, Luca Ferrari
Unlocking the Secrets of Prompt Engineering
Daniel Serfaty, Gilbert Mizrahi
Practical Data Quality
Robert Hawker
185 kr
Learn T-SQL Querying
Pam Lahoud, Pedro Lopes
164 kr
The Statistics and Machine Learning with R Workshop
Liu Peng
Data Exploration and Preparation with BigQuery
Mike Kahn
190 kr
PostgreSQL 16 Administration Cookbook
Boriss Mejías, Gianni Ciolli, Jimmy Angelakos, Simon Riggs, Vibhor Kumar
282 kr
Generative AI with LangChain
Ben Auffarth
Data Cleaning with Power BI
Gus Frazer
Cracking the Data Science Interview
Aaren Stubberfield, Angela Baltes, Leondra R. Gonzalez
154 kr
Machine Learning with Python
Oliver Theobald
62 kr
Modern Data Architectures with Python
Brian Lipp
Practical MongoDB Aggregations
Paul Done
384 kr
Alteryx Designer Cookbook
Alberto Guisande
308 kr
Data Stewardship in Action
Dr. Toa Charm, Pui Shing Lee
Machine Learning with LightGBM and Python
Andrich van Wyk
Machine Learning for Imbalanced Data
Dr. Mounir Abdelaziz, Kumar Abhishek