Practical statistics for data scientists
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Foundations of Statistics for Data Scientists
This book shows the elements of statistical science that are highly relevant for students who plan to become data scientists. However, most of the con
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Practical Statistics for Medical Research
Primarily aimed at medical researchers, this book aims to provide an understanding of the basic principles that underlie research design, data analysi
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Probability and Statistics for Computer Scientists
Probability and statistical methods, simulation techniques, and modeling tools. This third edition textbook adds R, including codes for data analysis
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Data Science for Sensory and Consumer Scientists
Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sen
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Real World AI Ethics for Data Scientists Taylor & Francis Ltd
In the midst of the 4th industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the modern AI alchemists. But great power comes with greater responsibility. This book seeks to shape, in a practical, diverse and inclusive way, the ethical compass of those entrusted with big data. Being practical, the book provides seven ...
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Real World AI Ethics for Data Scientists Taylor & Francis Ltd
In the midst of the 4th industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the modern AI alchemists. But great power comes with greater responsibility. This book seeks to shape, in a practical, diverse and inclusive way, the ethical compass of those entrusted with big data. Being practical, the book provides seven ...
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Statistics in Corpus Linguistics, A Practical Guide Cambridge University Press
A practical introduction to statistics in corpus linguistics that enables readers to understand key principles of statistical thinking and apply these concepts in their own research. It is intended for anyone interested in quantitative analysis of language and data visualisation....
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Practical Fairness
Fairness is becoming a paramount consideration for data scientists. This practical book covers basic concerns related to data security and privacy to
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Applied Statistics Using R
Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.
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Python for Geospatial Data Analysis
With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysi
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Practical Machine Learning for Computer Vision
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn ho
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Practical Machine Learning for Computer Vision, End-to-End Machine Learning for Images O'Reilly Media
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques....
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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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Blueprints for Text Analytics using Python
This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural
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Supervised Machine Learning for Text Analysis in R
This book is designed to provide practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate text into
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Implementing MLOps in the Enterprise
This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers,
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Graph Algorithms
With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether theyÂ’re used for building dynamic
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