Cała literatura kursowa, której potrzebujesz do studiów z Data & AI. Znajdziesz tu szeroki wybór e-booków z Data & AI. Nie możesz znaleźć tego, czego szukasz? Szukaj po ISBN, tytule lub autorze.
4948 Książek
PostgreSQL 9.0性能调校
Gregory Smith, Posts & Telecom Press
282 kr
Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide
Marcelo Leite
241 kr
De-Mystifying Math and Stats for Machine Learning
Seaport AI
62 kr
Applied Machine Learning for Healthcare and Life Sciences using AWS
Ujjwal Ratan
216 kr
Data Wrangling on AWS
Navnit Shukla, Sam Palani, Sankar M
205 kr
Production-Ready Applied Deep Learning
Jaejun (Brandon) Lee , Lenin Mookiah , Tomasz Palczewski
267 kr
Hands-On Graph Neural Networks Using Python
Maxime Labonne
256 kr
Simplifying Data Engineering and Analytics with Delta
Anindita Mahapatra
Machine Learning at Scale with H2O
David Whiting, Gregory Keys
Google Machine Learning and Generative AI for Solutions Architects
Kieran Kavanagh, Priyanka Vergadia
Data Wrangling with R
Gustavo Santos
231 kr
Building Data-Driven Applications with LlamaIndex
Andrei Gheorghiu
Data Wrangling with SQL
Raghav Kandarpa, Shivangi Saxena
190 kr
Neuro-Symbolic AI
Alexiei Dingli, David Farrugia
Data Modeling with Tableau
Kirk Munroe
From Algorithms to Thinking Machines
Domenico Talia
293 kr
Spatial Gems
Andreas Züfle, Cyrus Shahabi, John Krumm
367 kr
Machine Learning for Social and Behavioral Research
Kevin J. Grimm, Ross Jacobucci, Zhiyong Zhang
684 kr
Keeping Up with the Quants
Jinho Kim, Thomas H. Davenport
361 kr
HBR's 10 Must Reads on AI, Analytics, and the New Machine Age (with bonus article "Why Every Company Needs an Augmented Reality Strategy" by Michael E. Porter and James E. Heppelmann)
Harvard Business Review, H. James Wilson, Michael E. Porter, Paul Daugherty, Thomas H. Davenport
220 kr
Prediction Machines, Updated and Expanded
Ajay Agrawal, Avi Goldfarb, Joshua Gans
321 kr
All-in On AI
Nitin Mittal, Thomas H. Davenport
HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)
Ajay Agrawal, Harvard Business Review, Marco Iansiti, Thomas H. Davenport, Tsedal Neeley
Geospatial Data Science
Manolis Koubarakis
386 kr