Інформатика

DAX Cookbook. Over 120 recipes to enhance your business with analytics, reporting, and business intelligence

Greg Deckler

DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu

Michiel Rozema, Henk Vlootman

DAX w Power BI. Podstawy. Podręcznik z ćwiczeniami

Justyna Pyrcz

DDD. Kompendium wiedzy

Vaughn Vernon

Dealing With Data Pocket Primer. A Comprehensive Guide to Data Handling Techniques

Mercury Learning and Information, Oswald Campesato

Debian Linux. System operacyjny dla każdego. Pierwsze starcie

Sylwester Zdanowski

Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models

Ali Madani, Stephen MacKinnon

Debugging Teams. Przez współpracę do lepszej produktywności

Brian W. Fitzpatrick, Ben Collins-Sussman

Debunking C++ Myths. Embark on an insightful journey to uncover the truths behind popular C++ myths and misconceptions

Alexandru Bolboacă, Ferenc-Lajos Deák

Decentralized Identity Explained. Embrace decentralization for a more secure and empowering digital experience

Rohan Pinto

Deciphering Object-Oriented Programming with C++. A practical, in-depth guide to implementing object-oriented design principles to create robust code

Decoding Large Language Models. An exhaustive guide to understanding, implementing, and optimizing LLMs for NLP applications

Irena Cronin

Decyzyjni. Jak zwykli ludzie kreują niezwykłe produkty

Marty Cagan, Chris Jones

Deep Inside osCommerce: The Cookbook. Ready-to-use recipes to customize and extend your e-commerce website

Monika Mathe, Monika Math?É?íÂ!(C)

Deep Learning and AI Superhero. An in-depth guide to mastering TensorFlow, Keras, PyTorch, and advanced AI techniques

Cuantum Technologies LLC

Deep Learning and XAI Techniques for Anomaly Detection. Integrate the theory and practice of deep anomaly explainability

Cher Simon, Jeff Barr

Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks

Ahmed Menshawy

Deep learning dla programistów. Budowanie aplikacji AI za pomocą fastai i PyTorch

Jeremy Howard, Sylvain Gugger

Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling

Wei Di, Jianing Wei, Anurag Bhardwaj

Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python

Dr. Pablo Rivas, Laura Montoya

Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras

Rajalingappaa Shanmugamani

Deep Learning for Genomics. Data-driven approaches for genomics applications in life sciences and biotechnology

Upendra Kumar Devisetty

Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks

Karthiek Reddy Bokka, Shubhangi Hora, Tanuj Jain, Monicah Wambugu

Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Vitor Cerqueira, Luís Roque