All the course literature you need for studies in Data & AI. Here you will find a wide selection of books in Data & AI. Can't find what you're looking for? Search by ISBN, title or author.
4,946 Books
Transformers for Natural Language Processing and Computer Vision
Denis Rothman
282 kr
DevOps for Databases
David Jambor
256 kr
Managing Data Integrity for Finance
Jane Sarah Lat
TensorFlow Developer Certificate Guide
Oluwole Fagbohun
231 kr
Data Engineering with Scala and Spark
David Radford, Eric Tome, Rupam Bhattacharjee
190 kr
Building Statistical Models in Python
Huy Hoang Nguyen, Paul N Adams, Stuart J Miller
R Bioinformatics Cookbook
Dan MacLean
205 kr
Microsoft Dynamics 365 AI for Business Insights
Dmitry Shargorodsky
180 kr
Practical MongoDB Aggregations
Paul Done
461 kr
The Definitive Guide to Power Query (M)
Brian Julius, Greg Deckler, Melissa de Korte, Rick de Groot
AI for Absolute Beginners: A Clear Guide to Tomorrow
Oliver Theobald
62 kr
Data Science for Web3
Gabriela Castillo Areco
Engineering Data Mesh in Azure Cloud
Aniruddha Deswandikar
Fundamentals of Analytics Engineering
Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, Lasse Benninga, Pádraic Slattery, Ricardo Angel Granados Lopez, Taís Laurindo Pereira
Practical Guide to Applied Conformal Prediction in Python
Agus Sudjianto, Valery Manokhin
Vector Search for Practitioners with Elastic
Bahaaldine Azarmi, Jeff Vestal, Shay Banon
Practical Machine Learning on Databricks
Debu Sinha
Developing Kaggle Notebooks
Anthony Goldbloom, D. Sculley, Gabriel Preda
OpenAI API Cookbook
Henry Habib, Paul Siegel, Sam McKay
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
