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Explainable AI with Python(2021) GIANFAGNA, LEONIDA,DI CECCO, ANTONIOModel-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for theVezava: Mehka94,49 € -
Machine Learning in Asset Pricing(2021) NAGEL, STEFANA groundbreaking, authoritative introduction to how machine learning can be applied to asset pricingInvestors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such dataVezava: Trda71,40 € -
Machine Learning Design Patterns(2020) LAKSHMANAN, VALLIAPPAThe design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify theVezava: Mehka68,39 € -
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 € -
Designing Machine Learning Systems(2022) HUYEN, CHIPIn this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Vezava: Mehka68,39 € -
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: Mehka76,55 € -
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 € -
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 €
