Informatyka

Zajrzyj do kategorii Informatyka w księgarni internetowej Ebookpoint. Znajdziesz tutaj bestsellerowe książki, ebooki i kursy video z branży IT. Sięgnij po najlepszą literaturę dla specjalistów i rozwijaj doświadczenie, które już posiadasz, lub rozpocznij swoją przygodę z programowaniem, cyberbezpieczeństwem lub grafiką komputerową. Pogłębiaj swoją wiedzę tak, jak Ci wygodnie - z tradycyjną książką, wygodnym ebookiem lub nowoczesnym videokursem. Sprawdź, jakie tytuły znajdziesz w kategorii Informatyka!

siatka lista

Lutowanie od podstaw. Wydanie III

Witold Wrotek

Lync Server Cookbook. Over 90 recipes to empower you to configure, integrate, and manage your very own Lync Server deployment

Antonio Maria Maciel D Vargas, Fabrizio Volpe,...

Łamanie i zabezpieczanie aplikacji w systemie iOS

Jonathan Zdziarski

Łamanie i zabezpieczanie aplikacji w systemie iOS

Jonathan Zdziarski

Łamanie i zabezpieczanie aplikacji w systemie iOS

Jonathan Zdziarski

Machine Learning & Python for Absolute Beginners. A Hands-On Guide to Python Programming and Machine Learning from Scratch

Oliver Theobald

Machine Learning & Python for Absolute Beginners. A Hands-On Guide to Python Programming and Machine Learning from Scratch

Oliver Theobald

Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition

Giuseppe Bonaccorso

Machine Learning and AI for Absolute Beginners. The Ultimate Guide to AI and Machine Learning for Newcomers

Oliver Theobald

Machine Learning and AI for Absolute Beginners. The Ultimate Guide to AI and Machine Learning for Newcomers

Oliver Theobald

Machine Learning: End-to-End guide for Java developers. Data Analysis, Machine Learning, and Neural Networks simplified

Boštjan Kaluža, Krishna Choppella, Uday Kamath

Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition

Andrew P. McMahon, Adi Polak

Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition

Andrew P. McMahon, Adi Polak

Machine Learning Engineering on AWS. Build, scale, and secure machine learning systems and MLOps pipelines in production

Joshua Arvin Lat

Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning

Rodolfo Bonnin

Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market

Eduonix Learning Solutions

Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning

Revathi Gopalakrishnan, Avinash Venkateswarlu

Machine Learning for OpenCV. Intelligent image processing with Python

Michael Beyeler

Machine Learning for Streaming Data with Python. Rapidly build practical online machine learning solutions using River and other top key frameworks

Joos Korstanje

Machine Learning Fundamentals. Use Python and scikit-learn to get up and running with the hottest developments in machine learning

Hyatt Saleh

Machine learning i natural language processing w programowaniu. Podręcznik z ćwiczeniami w Pythonie

Piotr Wróblewski