Sztuczna inteligencja

Modern Computer Vision with PyTorch. A practical roadmap from deep learning fundamentals to advanced applications and Generative AI - Second Edition

V Kishore Ayyadevara, Yeshwanth Reddy

Modern Generative AI with ChatGPT and OpenAI Models. Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4

Valentina Alto

Natural Language Processing and Machine Learning for Developers. A Practical Guide to Advanced Techniques and Applications of NLP

Mercury Learning and Information, Oswald Campesato

Natural Language Processing Fundamentals for Developers. A Practical Guide to Building NLP Applications

Mercury Learning and Information, Oswald Campesato

Natural Language Processing: Python and NLTK. Click here to enter text

Jacob Perkins, Nitin Hardeniya, Deepti Chopra, Iti Mathur, ...

Natural Language Processing using R Pocket Primer. Learn Essential NLP Techniques and Tools for Developers

Mercury Learning and Information, Oswald Campesato

Network Science with Python. Explore the networks around us using network science, social network analysis, and machine learning

David Knickerbocker

Neuro-Symbolic AI. Design transparent and trustworthy systems that understand the world as you do

Alexiei Dingli, David Farrugia

Okta Administration: Up and Running. Implement enterprise-grade identity and access management for on-premises and cloud apps

Lovisa Stenbäcken Stjernlöf, HenkJan de Vries

OpenAI API Cookbook. Build intelligent applications including chatbots, virtual assistants, and content generators

Henry Habib, Sam McKay, Paul Siegel

OpenCV 3 Blueprints. Expand your knowledge of computer vision by building amazing projects with OpenCV 3

Matthew John Macdonald, Jason Clemons, Gary Bradski, Alasdair McAndrew, ...

OpenCV Computer Vision Application Programming Cookbook. Over 50 recipes to help you build computer vision applications in C++ using the OpenCV library

Robert Laganiere

OpenCV for Secret Agents. Use OpenCV in six secret projects to augment your home, car, phone, eyesight, and any photo or drawing

Joseph Howse

OpenCV with Python By Example. Build real-world computer vision applications and develop cool demos using OpenCV for Python

Prateek Joshi

Practical Automated Machine Learning Using H2O.ai. Discover the power of automated machine learning, from experimentation through to deployment to production

Salil Ajgaonkar

Prawo w IT. Praktycznie i po ludzku

Szymon Ciach

Pretrain Vision and Large Language Models in Python. End-to-end techniques for building and deploying foundation models on AWS

Emily Webber, Andrea Olgiati

Prompt engineering i ChatGPT. Poradnik skutecznej komunikacji ze sztuczną inteligencją

Andrzej Kacprzak

Prompt Engineering Using ChatGPT. Crafting Effective Interactions and Building GPT Apps

Mercury Learning and Information, Mehrzad Tabatabaian

Prosto o AI. Jak działa i myśli sztuczna inteligencja?

Robert Trypuz

Python 3 and Machine Learning Using ChatGPT / GPT-4. Harness the Power of Python, Machine Learning, and Generative AI

Mercury Learning and Information, Oswald Campesato

Python: Advanced Predictive Analytics. Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

Ashish Kumar, Joseph Babcock

Quantum Computing in Practice with Qiskit(R) and IBM Quantum Experience(R). Practical recipes for quantum computer coding at the gate and algorithm level with Python

Hassi Norlen

Rewolucja sztucznej inteligencji w medycynie. Jak GPT-4 może zmienić przyszłość

Peter Lee, Carey Goldberg, Isaac Kohane