Applied Computational Thinking with Python. Design algorithmic solutions for complex and challenging real-world problems

Sofía De Jesús, Dayrene Martinez

Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques

Sumit Ranjan, Dr. S. Senthamilarasu

Applied Deep Learning with Python. Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

Alex Galea, Luis Capelo

Applied Supervised Learning with Python. Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning

Benjamin Johnston, Ishita Mathur

Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python

Benjamin Johnston, Aaron Jones, Christopher Kruger

Applying Math with Python. Practical recipes for solving computational math problems using Python programming and its libraries

Sam Morley

ArcGIS By Example. Develop three engaging ArcGIS applications to address your real-world mapping scenarios

Hussein Nasser

ArcGIS for Desktop Cookbook. Over 60 hands-on recipes to help you become a more productive ArcGIS for Desktop user

Daniela C Docan

ArcGIS Pro 2.x Cookbook. Create, manage, and share geographic maps, data, and analytical models using ArcGIS Pro

Tripp Corbin

Architektura aplikacji w Pythonie. TDD, DDD i rozwój mikrousług reaktywnych

Harry Percival, Bob Gregory

ArcPy and ArcGIS - Geospatial Analysis with Python. Use the ArcPy module to automate the analysis and mapping of geospatial data in ArcGIS

Silas Toms, Silas Toms

ArcPy and ArcGIS. Automating ArcGIS for Desktop and ArcGIS Online with Python - Second Edition

Silas Toms, Dara OBeirne

Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances

Zsolt Nagy

Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition

Denis Rothman

Artificial Intelligence for IoT Cookbook. Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

Michael Roshak

Artificial Intelligence with Python. A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Prateek Joshi

Artificial Intelligence with Python Cookbook. Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

Ben Auffarth

Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - Second Edition

Alberto Artasanchez, Prateek Joshi

Atlassian DevOps Toolchain Cookbook. Recipes for building, automating, and managing applications with Jira, Bitbucket Pipelines, and more

Robert Wen, Alex Ortiz, Edward Gaile, Rodney Nissen

Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

Adnan Masood, Ahmed Sherif

Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding

Luis Sobrecueva

Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases in Dynamics NAV and Business Central

Luc van Vugt

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt

Somanath Nanda, Weslley Moura

AWS dla administratorów systemów. Tworzenie i utrzymywanie niezawodnych aplikacji chmurowych

Prashant Lakhera