Be The Outlier

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Be The Outlier

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Author : Shrilata Murthy
language : en
Publisher:
Release Date : 2020-07-27

Be The Outlier written by Shrilata Murthy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-27 with categories.

According to LinkedIn's third annual U.S. Emerging Jobs Report, the data scientist role is ranked third among the top-15 emerging jobs in the U.S. Though the field of data science has been exploding, there didn't appear to be a comprehensive resource to help data scientists navigate the interview process... until now. In Be the Outlier: How to Ace Data Science Interviews, data scientist Shrilata Murthy covers all aspects of a data science interview in today's industry. Murthy combines her own experience in the job market with expert insight from data scientists with Google, Facebook, Amazon, NASA, Aetna, MBB & Big 4 consulting firms, and many more. In this book, you'll learn... the foundational knowledge that is key to any data science interview the 100-Word Story framework for writing a stellar resume what to expect from a variety of interview styles (take-home, presentation, case study, etc.), and actionable ways to differentiate yourself from your peers. By using real-world examples, practice questions, and sample interviews, Murthy has created an easy-to-follow guide that will help you crack any data science interview. After reading Be the Outlier, get ready to land your dream job in data science.

Federal Register

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Author :
language : en
Publisher:
Release Date : 2013-08

Federal Register written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08 with Delegated legislation categories.

Outlier Detection In Python

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Author : Brett Kennedy
language : en
Publisher: Simon and Schuster
Release Date : 2025-01-07

Outlier Detection In Python written by Brett Kennedy and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.

Learn how to identify the unusual, interesting, extreme, or inaccurate parts of your data. Data scientists have two main tasks: finding patterns in data and finding the exceptions. These outliers are often the most informative parts of data, revealing hidden insights, novel patterns, and potential problems. Outlier Detection in Python is a practical guide to spotting the parts of a dataset that deviate from the norm, even when they're hidden or intertwined among the expected data points. In Outlier Detection in Python you'll learn how to: • Use standard Python libraries to identify outliers • Select the most appropriate detection methods • Combine multiple outlier detection methods for improved results • Interpret your results effectively • Work with numeric, categorical, time series, and text data Outlier detection is a vital tool for modern business, whether it's discovering new products, expanding markets, or flagging fraud and other suspicious activities. This guide presents the core tools for outlier detection, as well as techniques utilizing the Python data stack familiar to data scientists. To get started, you'll only need a basic understanding of statistics and the Python data ecosystem. About the technology Outliers—values that appear inconsistent with the rest of your data—can be the key to identifying fraud, performing a security audit, spotting bot activity, or just assessing the quality of a dataset. This unique guide introduces the outlier detection tools, techniques, and algorithms you’ll need to find, understand, and respond to the anomalies in your data. About the book Outlier Detection in Python illustrates the principles and practices of outlier detection with diverse real-world examples including social media, finance, network logs, and other important domains. You’ll explore a comprehensive set of statistical methods and machine learning approaches to identify and interpret the unexpected values in tabular, text, time series, and image data. Along the way, you’ll explore scikit-learn and PyOD, apply key OD algorithms, and add some high value techniques for real world OD scenarios to your toolkit. What's inside • Python libraries to identify outliers • Combine outlier detection methods • Interpret your results About the reader For Python programmers familiar with tools like pandas and NumPy, and the basics of statistics. About the author Brett Kennedy is a data scientist with over thirty years’ experience in software development and data science. Table fo Contents Part 1 1 Introducing outlier detection 2 Simple outlier detection 3 Machine learning-based outlier detection 4 The outlier detection process Part 2 5 Outlier detection using scikit-learn 6 The PyOD library 7 Additional libraries and algorithms for outlier detection Part 3 8 Evaluating detectors and parameters 9 Working with specific data types 10 Handling very large and very small datasets 11 Synthetic data for outlier detection 12 Collective outliers 13 Explainable outlier detection 14 Ensembles of outlier detectors 15 Working with outlier detection predictions Part 4 16 Deep learning-based outlier detection 17 Time-series data

Statistical Outliers And Related Topics

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Author : Mir Masoom Ali
language : en
Publisher: CRC Press
Release Date : 2025-01-27

Statistical Outliers And Related Topics written by Mir Masoom Ali and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Mathematics categories.

The book is a collection of different aspects of outliers and related topics written by experts. Topics covered include definition of outliers, their sources, consequences, identification, computational and robustness issues, handling of outliers in diversified areas of statistics such as univariate and multivariate data, linear and generalized linear models, time series, linear functional and structural models, circular data, spatial data, big data, high dimensional data, multi-view data. The book emphasizes the importance of outliers, and will appeal to workers in Data Mining; which is one of the fastest-growing business applications of statistics. The book makes outlier detection methods widely usable by practitioners. Examples are drawn from various fields.

Fitting Models To Biological Data Using Linear And Nonlinear Regression

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Author : Harvey Motulsky
language : en
Publisher: Oxford University Press
Release Date : 2004-05-27

Fitting Models To Biological Data Using Linear And Nonlinear Regression written by Harvey Motulsky and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-27 with Mathematics categories.

Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.

Annual Report

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Author : Geological and Natural History Survey of Canada
language : en
Publisher:
Release Date : 1887

Annual Report written by Geological and Natural History Survey of Canada and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1887 with Geology categories.

Memoirs Of The Geological Survey Of Great Britain And The Museum Of Economic Geology In London

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Author :
language : en
Publisher:
Release Date : 1886

Memoirs Of The Geological Survey Of Great Britain And The Museum Of Economic Geology In London written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1886 with categories.

The Geology Of The Neighbourhoods Of Flint Mold And Ruthin

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Author : Sir Aubrey Strahan
language : en
Publisher:
Release Date : 1898

The Geology Of The Neighbourhoods Of Flint Mold And Ruthin written by Sir Aubrey Strahan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1898 with Geology categories.

The American Geologist

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Author :
language : en
Publisher:
Release Date : 1898

The American Geologist written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1898 with Geology categories.

Includes section "Review of recent geological literature."

Statistics For Business Problem Solving

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Author : Harvey J. Brightman
language : en
Publisher: Thomson South-Western
Release Date : 1992

Statistics For Business Problem Solving written by Harvey J. Brightman and has been published by Thomson South-Western this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Business & Economics categories.

This book introduces the student to statistical methods and reasoning that aid in problem detection, problem diagnosis, decision making and improving managerial performance.