Title: Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks, Author: Keith L. Downing
Title: Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, Author: Sebastian Raschka
Title: Practical C++ Machine Learning: Hands-on strategies for developing simple machine learning models using C++ data structures and libraries, Author: Anais Sutherland
Title: Statistics with Rust, Second Edition: Explore rust programming and its powerful crates across data science, machine learning and NLP projects, Author: Keiko Nakamura
Title: Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified, Author: Jeremy Kubica
Title: Pytorch Deep Learning by Example (2nd Edition), Author: Benjamin Young
Title: Inside Deep Learning: Math, Algorithms, Models, Author: Edward Raff
Title: Algorithmic Short Selling with Python: Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product, Author: Laurent Bernut
Title: PyTorch????: Chinese Edition, Author: Posts & Telecom Press
Title: Neural Networks with R: Uncover the power of artificial neural networks by implementing them through R code., Author: Giuseppe Ciaburro
Title: Learning PyTorch 2.0, Author: Matthew Rosch
Title: ????????Python??????: Chinese Edition, Author: Posts & Telecom Press
Title: TensorFlow Developer Certification Guide: Crack Google's official exam on getting skilled with managing production-grade ML models, Author: Patrick J
Title: Python?????(?2?): Chinese Edition, Author: Posts & Telecom Press
Title: Deep Learning with Keras from Scratch, Author: Benjamin Young
Title: Machine Learning with R, the tidyverse, and mlr, Author: Hefin Rhys
Title: TensorFlow????????: Chinese Edition, Author: Posts & Telecom Press
Title: TensorFlow????????: Chinese Edition, Author: Posts & Telecom Press
Title: Applied Deep Learning and Computer Vision for Self-Driving Cars: Build autonomous vehicles using deep neural networks and behavior-cloning techniques, Author: Sumit Ranjan
Title: Machine Learning für Softwareentwickler: Von der Python-Codezeile zur Deep-Learning-Anwendung, Author: Paolo Perrotta

Pagination Links