Data science and machine learning
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Data Science and Machine Learning
The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone inter
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Encyclopedia of Data Science and Machine Learning
Examines state-of-the-art research in the areas of data science, machine learning, data mining, and more. The book provides an international forum for
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Machine Learning and Data Science Blueprints for Finance
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researc
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Natural Language Processing in the Real World
'Natural Language Processing in the Real World' is a practical guide for applying data science and machine learning to build Natural Language Processi
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Malware Data Science
Identify, analyse, and classify large-scale malware using machine learning and data visualisation.
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Introduction to Data Science
The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the p
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Machine Learning Interviews
In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process.
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Effective Machine Learning Teams
With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software delivery in a prac
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Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intellige
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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning
Prepares students for Microsoft Exam 70-774-and helps them demonstrate real-world mastery of performing key data science activities with Azure Machine
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Introduction to Environmental Data Science
This book provides a comprehensive guide to machine learning and statistics for students and researchers of environmental data science. A broad range
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Data-Driven Science and Engineering
Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data s
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Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data Taylor & Francis Ltd
This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science....
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Practitioner’s Guide to Data Science Taylor & Francis Ltd
This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. This book is for readers who want to explore possible career paths and eventually become data scientis...
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Practitioner’s Guide to Data Science Taylor & Francis Ltd
This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. This book is for readers who want to explore possible career paths and eventually become data scientis...
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Hands-On Data Science for Librarians Taylor & Francis Ltd
This book focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports and machine learning. By walking through each skill and its application to library work before walking the reader through each line of c...
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Hands-On Data Science for Librarians Taylor & Francis Ltd
This book focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports and machine learning. By walking through each skill and its application to library work before walking the reader through each line of c...
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Computer Age Statistical Inference
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes ...
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Statistical Learning with Math and Python
This textbook approaches the essence of machine learning and data science by considering math problems and building Python programs. As the prelimin
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Artificial Intelligence in Finance
With this practical book, practitioners, students, and academics in both finance and data science will learn how to use AI and machine learning to dis
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