353 rezultatov
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AI-Powered Business Intelligence(2022) ZWINGMANN, TOBIASUse business intelligence to power corporate growth, increase efficiency, and improve corporate decision-making. With this practical book, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, andVezava: Mehka68,39 € -
Scaling up Machine Learning(2018)In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a vaVezava: Mehka82,25 € -
Data Science Ethics(2022) MARTENS, DAVID (PROFESSOR OF DATA SCIENCE, PROFESSOR OF DATA SCIENCE, UNIVERSITY OF ANTWERP, BELGIUM)This book examines a variety of different concepts related to data science ethics and techniques that can help with, or lead to, ethical concerns, whilst featuring cautionary tales that illustrate the importance and potential impact of data science ethicsVezava: Mehka72,22 € -
Creativity Code(2020) DU SAUTOY, MARCUS‘Du Sautoy’s discussion of computer creativity is fascinating’ Observer CAN MACHINES BE CREATIVE?Vezava: Mehka18,21 € -
Deep Reinforcement Learning(2022) PLAAT, ASKEDeep reinforcement learning has attracted considerable attention recently. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects’ desired behavior can beVezava: Mehka68,89 € -
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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 €
