Python

15 Math Concepts Every Data Scientist Should Know. Understand and learn how to apply the math behind data science algorithms

David Hoyle

30 Agents Every AI Engineer Must Build. Build production-ready agent systems using proven architectures and patterns

Imran Ahmad

40 Algorithms Every Programmer Should Know. Hone your problem-solving skills by learning different algorithms and their implementation in Python

Imran Ahmad

40 algorytmów, które powinien znać każdy programista. Nauka implementacji algorytmów w Pythonie

Imran Ahmad

A Developer's Guide to .NET in Azure. Build quick, scalable cloud-native applications and microservices with .NET 6.0 and Azure

Anuraj Parameswaran, Tamir Al Balkhi

A Practical Guide to Quantum Computing. Hands-on approach to quantum computing with Qiskit

Elías F. Combarro, Samuel González-Castillo, Ismael Faro...

Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process

Maicon Melo Alves, Lúcia Maria de Assumpçao...

Actionable Insights with Amazon QuickSight. Develop stunning data visualizations and machine learning-driven insights with Amazon QuickSight

Manos Samatas

Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

Ivan Vasilev

Advanced Deep Learning with TensorFlow 2 and Keras. Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more - Second Edition

Rowel Atienza

Advanced Python Programming. Accelerate your Python programs using proven techniques and design patterns - Second Edition

Quan Nguyen

Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns

Dr. Gabriele Lanaro, Quan Nguyen , Sakis...

Adversarial AI Attacks, Mitigations, and Defense Strategies. A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps

John Sotiropoulos

Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value

Bipin Chadha, Sylvester Juwe

AI Agents in Practice. Design, implement, and scale autonomous AI systems for production

Valentina Alto

AI Product Manager's Handbook. The ultimate playbook to unlock AI product success with real-world insights and strategies - Second Edition

Irene Bratsis