Uczenie maszynowe

grid list

Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras

Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh

Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

Giuseppe Bonaccorso

IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI

Hemanth Manda, Sriram Srinivasan, Deepak Rangarao

IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance

James D. Miller

Inteligentna sieć. Algorytmy przyszłości. Wydanie II

Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko

Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Santanu Pattanayak, Manohar Swamynathan

Intelligent Workloads at the Edge. Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass

Indraneel (Neel) Mitra, Ryan Burke

Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition

Serg Masís, Aleksander Molak, Denis Rothman

Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples

Serg Masís

Introduction to Algorithms. A Comprehensive Guide for Beginners: Unlocking Computational Thinking

Cuantum Technologies LLC

Inżynieria danych na platformie AWS. Jak tworzyć kompletne potoki uczenia maszynowego

Chris Fregly, Antje Barth

Jak projektować systemy uczenia maszynowego. Iteracyjne tworzenie aplikacji gotowych do pracy

Chip Huyen

Jak sztuczna inteligencja zmieni twoje życie

Marek Tłuczek

Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j

Rahul Raj

Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Md. Rezaul Karim

Keras 2.x Projects. 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras

Giuseppe Ciaburro