Tutta la letteratura del corso di cui hai bisogno per gli studi in Data & AI. Qui troverai un'ampia selezione di e-book in Data & AI. Non trovi quello che cerchi? Cerca per ISBN, titolo o autore.
4946 Libri
Training Systems Using Python Statistical Modeling
Curtis Miller
200 kr
Hands-On Machine Learning with IBM Watson
James D. Miller
226 kr
Python Data Mining Quick Start Guide
Nathan Greeneltch
169 kr
R Bioinformatics Cookbook
Dan MacLean, Dr Dan Maclean
308 kr
Elasticsearch 7.0 Cookbook
Alberto Paro
282 kr
Applied Supervised Learning with Python
Benjamin Johnston, Ishita Mathur
Deep Learning for Natural Language Processing
Karthiek Reddy Bokka, Monicah Wambugu, Shubhangi Hora , Tanuj Jain
Automated Machine Learning with AutoKeras
Luis Sobrecueva
Practical Data Analysis Using Jupyter Notebook
Marc Wintjen
Hands-On Generative Adversarial Networks with Keras
Rafael Valle
Hands-On Data Science for Marketing
Yoon Hyup Hwang
251 kr
Python Machine Learning by Example
Yuxi (Hayden) Liu
OpenCV 4 Computer Vision Application Programming Cookbook
David Millán Escrivá, Robert Laganiere
Supervised Machine Learning with Python
Taylor Smith
139 kr
Hands-On Python Natural Language Processing
Aman Kedia, Mayank Rasu
TIBCO Spotfire: A Comprehensive Primer
Andrew Berridge, Michael Phillips
Hands-On Artificial Intelligence with Unreal Engine
Francesco Sapio
Applied Deep Learning with Keras
Mahla Abdolahnejad , Matthew Moocarme, Ritesh Bhagwat
Essential Statistics for Non-STEM Data Analysts
Rongpeng Li
Unity Artificial Intelligence Programming
Dr. Davide Aversa
Cleaning Data for Effective Data Science
David Mertz
Network Science with Python and NetworkX Quick Start Guide
Edward L. Platt
Data Forecasting and Segmentation Using Microsoft Excel
Fernando Roque
241 kr
Machine Learning for OpenCV 4
Aditya Sharma, Michael Beyeler, Michael Beyeler (USD), Vishwesh Ravi Shrimali
