116 rezultatov
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Machines that Think(2022) NEW SCIENTISTMachines That Think explores how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and asks if AI is really a threat.Vezava: Mehka15,41 € -
Algorithms for a New World(2022) QUARTERONI, ALFIOCovid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalVezava: Mehka33,25 € -
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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 € -
Essential Math for Data Science(2022) NIELD, THOMASTo succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebraVezava: Mehka68,39 € -
Introduction to Natural Language Processing(2019) EISENSTEIN, JACOB (ASSISTANT PROFESSOR, GOOGLE)Vezava: Trda107,10 € -
Machine Learning with Neural Networks(2021) MEHLIG, BERNHARD (GOTEBORGS UNIVERSITET, SWEDEN)This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fundamental physical and mathematical principles of the topic are described alongside current applications in sVezava: Trda77,00 € -
Machine Learning with Python Cookbook(2023) GALLATIN, KYLE,ALBON, CHRISThis practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work.Vezava: Mehka82,59 € -
Implementing MLOps in the Enterprise(2023) HAVIV, YARON,GIFT, NOAHThis practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moviVezava: Mehka82,59 €
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Low-Code AI(2023) STRIPLING, GWENDOLYNE,ABEL, MICHAELThis hands-on guide presents three problem-focused ways to learn ML: no code using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. You'll learn key ML concepts by using real-world datasets with realistic problems.Vezava: Mehka82,59 €
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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 € -
Applied Machine Learning and AI for Engineers(2022) PROSISE, JEFFWhile many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems.Vezava: Mehka82,59 € -
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 € -
Introducing MLOps(2020) TREVEIL, MARK,OMONT, NICOLAS,STENAC, CLEMENT,LEFEVRE, KENJI,PHAN, DU,ZENTICI, JOACHIM,LAVOILLOTTE, ADRIEN,MIYAZAKI, MAKOTO,HEIDMANN, LYNNThis book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time.Vezava: Mehka68,39 € -
Fundamentals of Deep Learning(2022) BUDUMA, NITHIN,BUDUMA, NIKHIL,PAPA, JOEThis updated second edition describes the intuition behind deep learning innovations without jargon or complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-iVezava: Mehka82,59 €
