107 rezultatov
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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: Trda110,25 € -
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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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 € -
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 € -
Deep Learning Projects Using TensorFlow 2(2020) SILAPARASETTY, VINITAWork through engaging and practical deep learning projects using TensorFlow 2.0.Vezava: Mehka63,98 € -
Machine Learning(2014) MARSLAND, STEPHEN (MASSEY UNIVERSITY, PALMERSTON NORTH, NEW ZEALAND)Vezava: Trda134,56 € -
Machine Learning: Concepts, Tools And Data Visualization(2021) KANG, MINSOO (EULJI UNIVERSITY, SOUTH KOREA),CHOI, EUNSOO (ALL4LAND INC., SOUTH KOREA)Vezava: Mehka68,91 € -
Embedded Analytics(2023) FARMER, DONALD,HORBURY, JIMThe adoption of data analytics has remained remarkably static - perhaps reaching no more than thirty percent of potential users. This book explores the most important techniques for taking that adoption further: embedding analytics into the workflow of ouVezava: Mehka47,24 € -
Building Knowledge Graphs(2023) BARRASA, JESUS,WEBBER, JIMUsing hands-on examples, this practical book shows data scientists and data practitioners how to build their own custom knowledge graphs. Authors Jesus Barrasa and Jim Webber from Neo4j illustrate patterns commonly used for building knowledge graphs thatVezava: Mehka92,91 €
