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
The Definitive Guide to Data Integration
Emeric CHAIZE, Mehdi TAZI, Pierre-Yves BONNEFOY, Raphaël MANSUY, Stephane Heckel
190 kr
Machine Learning: Make Your Own Recommender System
Oliver Theobald
82 kr
Geospatial Analysis with SQL
Bonny P McClain
231 kr
Data Observability for Data Engineering
Michele Pinto, Sammy El Khammal
MLOps with Red Hat OpenShift
Faisal Masood, Ross Brigoli
Time Series Indexing
Mihalis Tsoukalos
256 kr
Accelerate Deep Learning Workloads with Amazon SageMaker
Vadim Dabravolski
241 kr
Pretrain Vision and Large Language Models in Python
Emily Webber
Azure Data Engineering Cookbook
Ahmad Osama, Luca Zanna, Nagaraj Venkatesan
267 kr
Machine Learning Engineering on AWS
Joshua Arvin Lat
实时数据处理和分析指南
Posts & Telecom Press, Saurabh Gupta, Shilpi Saxena
282 kr
Applied Machine Learning Explainability Techniques
Aditya Bhattacharya
R概率图模型入门与实践
David Bellot, Posts & Telecom Press
200 kr
A Handbook of Mathematical Models with Python
Ranja Sarkar
Quantum Machine Learning and Optimisation in Finance
Alexei Kondratyev, Jacquier Antoine
308 kr
Data Augmentation with Python
Duc Haba
面向MapReduce的Hadoop优化
Khaled Tannir, Posts & Telecom Press
Tableau Desktop Specialist Certification
Adam Mico
195 kr
Applied Geospatial Data Science with Python
David S. Jordan
金融中的机器学习
Jannes Klaas, Posts & Telecom Press
226 kr
Extending Excel with Python and R
David Kun, Steven Sanderson
Building LLM Powered Applications
Valentina Alto
Tableau Certified Data Analyst Certification Guide
Daisy Jones, Harry Cooney
Business Intelligence Career Master Plan
Danny Moncada, Eduardo Chavez
164 kr
