Die gesamte Studienliteratur, die du für dein Studium in Data & AI brauchst. Hier findest du eine große Auswahl an E-Books in Data & AI. Findest du nicht, was du suchst? Suche nach ISBN, Titel oder Autor.
4.931 Bücher
金融中的机器学习
Jannes Klaas, Posts & Telecom Press
226 kr
Applied Geospatial Data Science with Python
David S. Jordan
282 kr
Tableau Desktop Specialist Certification
Adam Mico
195 kr
面向MapReduce的Hadoop优化
Khaled Tannir, Posts & Telecom Press
200 kr
Data Augmentation with Python
Duc Haba
231 kr
Quantum Machine Learning and Optimisation in Finance
Alexei Kondratyev, Jacquier Antoine
308 kr
A Handbook of Mathematical Models with Python
Ranja Sarkar
256 kr
R概率图模型入门与实践
David Bellot, Posts & Telecom Press
Applied Machine Learning Explainability Techniques
Aditya Bhattacharya
241 kr
实时数据处理和分析指南
Posts & Telecom Press, Saurabh Gupta, Shilpi Saxena
Machine Learning Engineering on AWS
Joshua Arvin Lat
Azure Data Engineering Cookbook
Ahmad Osama, Luca Zanna, Nagaraj Venkatesan
267 kr
Pretrain Vision and Large Language Models in Python
Emily Webber
Accelerate Deep Learning Workloads with Amazon SageMaker
Vadim Dabravolski
Time Series Indexing
Mihalis Tsoukalos
MLOps with Red Hat OpenShift
Faisal Masood, Ross Brigoli
Data Observability for Data Engineering
Michele Pinto, Sammy El Khammal
190 kr
Geospatial Analysis with SQL
Bonny P McClain
Machine Learning: Make Your Own Recommender System
Oliver Theobald
82 kr
The Definitive Guide to Data Integration
Emeric CHAIZE, Mehdi TAZI, Pierre-Yves BONNEFOY, Raphaël MANSUY, Stephane Heckel
Machine Learning Engineering with Python
Andrew P. McMahon
Python Deep Learning
Ivan Vasilev
The Deep Learning Architect's Handbook
Ee Kin Chin
272 kr
Data Modeling with Microsoft Excel
Bernard Obeng Boateng, Michael Olafusi
180 kr