Uczenie maszynowe

Neural Networks with Keras Cookbook. Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots

V Kishore Ayyadevara

Neural Networks with R. Build smart systems by implementing popular deep learning models in R

Balaji Venkateswaran, Giuseppe Ciaburro

Newtonian Mechanics. Exploring the Principles of Classical Physics from Fundamentals to Advanced Applications

Mercury Learning and Information, Derek Raine

Nowoczesne architektury danych. Przewodnik po hurtowni danych, siatce danych oraz Data Fabric i Data Lakehouse

James Serra

Odsłaniamy SQL Server 2019: Klastry Big Data i uczenie maszynowe

Bob Ward

OpenCV 3 Computer Vision Application Programming Cookbook. Recipes to make your applications see - Third Edition

Robert Laganiere

OpenCV 3.x with Python By Example. Make the most of OpenCV and Python to build applications for object recognition and augmented reality - Second Edition

Gabriel Garrido Calvo, Prateek Joshi

Optimization Using Linear Programming. A Practical Guide to Mastering Linear Programming Techniques

Mercury Learning and Information, A. J. Metei,...

Podręcznik architekta rozwiązań. Poznaj reguły oraz strategie projektu architektury i rozpocznij niezwykłą karierę. Wydanie II

Saurabh Shrivastava, Neelanjali Srivastav

Potoki danych. Leksykon kieszonkowy. Przenoszenie i przetwarzanie danych na potrzeby ich analizy

James Densmore

Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV

Abhinav Dadhich

Practical Convolutional Neural Networks. Implement advanced deep learning models using Python

Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari

Practical Guide to Applied Conformal Prediction in Python. Learn and apply the best uncertainty frameworks to your industry applications

Valery Manokhin, Agus Sudjianto

Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world applications

Brindha Priyadarshini Jeyaraman, Ludvig Renbo Olsen, Monicah...

Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE

Pethuru Raj Chelliah, Shreyash Naithani, Shailender Singh

Praktyczne uczenie maszynowe w języku R

Fred Nwanganga, Mike Chapple

Praktyczne uczenie nienadzorowane przy użyciu języka Python

Ankur A. Patel

Privacy-Preserving Machine Learning. A use-case-driven approach to building and protecting ML pipelines from privacy and security threats

Srinivasa Rao Aravilli, Sam Hamilton

Projektowanie aplikacji LLM. Holistyczne podejście do dużych modeli językowych

Suhas Pai

Projektowanie głosowych interfejsów użytkownika. Zasady doświadczeń konwersacyjnych

Cathy Pearl

Python 3 for Machine Learning. Harness the Power of Python for Advanced Machine Learning Projects

Mercury Learning and Information, Oswald Campesato

Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python

Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani

Python Artificial Intelligence Projects for Beginners. Get up and running with Artificial Intelligence using 8 smart and exciting AI applications

Dr. Joshua Eckroth

Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python

Indra den Bakker