Helion


Yuxi (Hayden) Liu

Yuxi (Hayden) Liu rozwija modele uczenia maszynowego w Google. Wcześniej pracował naukowo nad zastosowaniami uczenia maszynowego w takich dziedzinach jak reklama internetowa i cyberbezpieczeństwo. Jest entuzjastą edukacji i autorem wielu książek o uczeniu maszynowym. Pierwsze wydanie tego podręcznika zajmowało wiodącą pozycję w rankingu Amazona w latach 2017 i 2018.

Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras

Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras - Ebook

Yuxi (Hayden) Liu, Saransh Mehta

Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition

Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition - Ebook

Yuxi (Hayden) Liu

Python Machine Learning By Example. The easiest way to get into machine learning

Python Machine Learning By Example. The easiest way to get into machine learning - Ebook

Yuxi (Hayden) Liu

R Deep Learning Projects. Master the techniques to design and develop neural network models in R

R Deep Learning Projects. Master the techniques to design and develop neural network models in R - Ebook

Yuxi (Hayden) Liu, Pablo Maldonado

Deep Learning with R for Beginners. Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

Deep Learning with R for Beginners. Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet - Ebook

Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu, Pablo Maldonado