Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL

Raghav Kandarpa, Shivangi Saxena

Databricks Certified Associate Developer for Apache Spark Using Python. The ultimate guide to getting certified in Apache Spark using practical examples with Python

Saba Shah, Rod Waltermann

Data-Centric Applications with Vaadin 8. Develop and maintain high-quality web applications using Vaadin

Alejandro Duarte

Datadog Cloud Monitoring Quick Start Guide. Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog

DDD. Kompendium wiedzy

Vaughn Vernon

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

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

Dorothy R. Kirk

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

Cuantum Technologies LLC

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

Ahmed Menshawy

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 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 i modelowanie generatywne. Jak nauczyć komputer malowania, pisania, komponowania i grania

David Foster

Deep Learning. Praca z językiem Python i biblioteką Keras

Francois Chollet

Deep Learning. Praca z językiem R i biblioteką Keras

Francois Chollet, J. J. Allaire

Deep Learning Quick Reference. Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Mike Bernico

Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe

Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants

Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning

Mark Ryan

Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python

Antonio Gulli, Sujit Pal

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework

Willem Meints

Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet

Andrés P. Torres, Paul Newman

Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch

Vishnu Subramanian