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Learning Tensorflow.js(2021) LABORDE, GANTIn this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, stuVezava: Mehka58,07 € -
Building Machine Learning Powered Applications(2020) AMEISEN, EMMANUELLearn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product.Vezava: Mehka68,39 € -
Natural Language Processing with PyTorchlow(2019) RAO, DELIP,MCMAHAN, BRIANIf you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.Vezava: Mehka92,91 € -
Text Mining with R(2017) SILGE, JULIA,ROBINSON, DAVIDTackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools fromVezava: Mehka44,85 € -
Machine Learning(2014) MARSLAND, STEPHEN (MASSEY UNIVERSITY, PALMERSTON NORTH, NEW ZEALAND)Vezava: Trda138,24 € -
