Joseph S Park's Books

Birds and Mammals of the Sierra Nevada

With Records from Sequoia and Kings Canyon National Parks

By: Lowell Sumner,Joseph S. Dixon

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Birds and Mammals of the Sierra Nevada

With Records from Sequoia and Kings Canyon National Parks

By: Lowell Sumner,Joseph S. Dixon

This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1953.

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552

Publisher

Univ of California Press

Published Date

ISBN 10

0520326164

ISBN 13

9780520326163

Biomedical Engineering Handbook

By: Joseph D. Bronzino

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Biomedical Engineering Handbook

By: Joseph D. Bronzino

Category Biomedical Engineering Subcategory Contact Editor: Stern

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Page Count

1700

Publisher

CRC Press

Published Date

ISBN 10

084930461X

ISBN 13

9780849304613

Microwave and Wireless Communications Technology

By: Joseph Carr

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Microwave and Wireless Communications Technology

By: Joseph Carr

This text offers a practical, device-based approach to the study of microwave and wireless communications. Student objectives, questions and problems, and end-of-chapter summaries are used to reinforce the points made

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Page Count

450

Publisher

Newnes

Published Date

ISBN 10

0750697075

ISBN 13

9780750697071

SQL Server 2019 Administration Inside Out

By: Randolph West,Melody Zacharias,William Assaf,Sven Aelterman,Louis Davidson,Joseph D'Antoni

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SQL Server 2019 Administration Inside Out

By: Randolph West,Melody Zacharias,William Assaf,Sven Aelterman,Louis Davidson,Joseph D'Antoni

Conquer SQL Server 2019 administration–from the inside out Dive into SQL Server 2019 administration–and really put your SQL Server DBA expertise to work. This supremely organized reference packs hundreds of timesaving solutions, tips, and workarounds–all you need to plan, implement, manage, and secure SQL Server 2019 in any production environment: on-premises, cloud, or hybrid. Six experts thoroughly tour DBA capabilities available in SQL Server 2019 Database Engine, SQL Server Data Tools, SQL Server Management Studio, PowerShell, and Azure Portal. You’ll find extensive new coverage of Azure SQL, big data clusters, PolyBase, data protection, automation, and more. Discover how experts tackle today’s essential tasks–and challenge yourself to new levels of mastery. Explore SQL Server 2019’s toolset, including the improved SQL Server Management Studio, Azure Data Studio, and Configuration Manager Design, implement, manage, and govern on-premises, hybrid, or Azure database infrastructures Install and configure SQL Server on Windows and Linux Master modern maintenance and monitoring with extended events, Resource Governor, and the SQL Assessment API Automate tasks with maintenance plans, PowerShell, Policy-Based Management, and more Plan and manage data recovery, including hybrid backup/restore, Azure SQL Database recovery, and geo-replication Use availability groups for high availability and disaster recovery Protect data with Transparent Data Encryption, Always Encrypted, new Certificate Management capabilities, and other advances Optimize databases with SQL Server 2019’s advanced performance and indexing features Provision and operate Azure SQL Database and its managed instances Move SQL Server workloads to Azure: planning, testing, migration, and post-migration

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Page Count

1720

Publisher

Microsoft Press

Published Date

ISBN 10

0135560950

ISBN 13

9780135560952

Teleology and the Norms of Nature

By: William Joseph FitzPatrick

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Teleology and the Norms of Nature

By: William Joseph FitzPatrick

First Published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.

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410

Publisher

Taylor & Francis

Published Date

ISBN 10

0815336020

ISBN 13

9780815336020

A Skeleton Key to Finnegans Wake

Unlocking James Joyce's Masterwork

By: Joseph Campbell,Henry Morton Robinson

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A Skeleton Key to Finnegans Wake

Unlocking James Joyce's Masterwork

By: Joseph Campbell,Henry Morton Robinson

Since its publication in 1939, countless would-be readers of "Finnegans Wake" - James Joyce's masterwork, which consumed a third of his life - have given up after a few pages, dismissing it as a "perverse triumph of the unintelligible." In 1944, a young professor of mythology and literature named Joseph Campbell, working with Henry Morton Robinson, wrote the first "key" or guide to entering the fascinating, disturbing, marvelously rich world of "Finnegans Wake." The authors break down Joyce's "unintelligible" book page by page, stripping the text of much of its obscurity and serving up thoughtful interpretations via footnotes and bracketed commentary. They outline the book's basic action, and then simplify -- and clarify -- its complex web of images and allusions. "A Skeleton Key to Finnegans Wake" is the latest addition to the "Collected Works of Joseph Campbell" series.

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Page Count

218

Publisher

New World Library

Published Date

ISBN 10

1577314050

ISBN 13

9781577314059

Elements of Natural Philosophy. For the Use of Schools and Academies

By: Joseph Anthony Gillet,William James Rolfe

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Elements of Natural Philosophy. For the Use of Schools and Academies

By: Joseph Anthony Gillet,William James Rolfe

Reprint of the original, first published in 1881.

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Page Count

330

Publisher

BoD – Books on Demand

Published Date

ISBN 10

3385425697

ISBN 13

9783385425699

Real-World Machine Learning

By: Henrik Brink,Joseph Richards,Mark Fetherolf

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Real-World Machine Learning

By: Henrik Brink,Joseph Richards,Mark Fetherolf

Summary Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning systems help you find valuable insights and patterns in data, which you'd never recognize with traditional methods. In the real world, ML techniques give you a way to identify trends, forecast behavior, and make fact-based recommendations. It's a hot and growing field, and up-to-speed ML developers are in demand. About the Book Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems. What's Inside Predicting future behavior Performance evaluation and optimization Analyzing sentiment and making recommendations About the Reader No prior machine learning experience assumed. Readers should know Python. About the Authors Henrik Brink, Joseph Richards and Mark Fetherolf are experienced data scientists engaged in the daily practice of machine learning. Table of Contents PART 1: THE MACHINE-LEARNING WORKFLOW What is machine learning? Real-world data Modeling and prediction Model evaluation and optimization Basic feature engineering PART 2: PRACTICAL APPLICATION Example: NYC taxi data Advanced feature engineering Advanced NLP example: movie review sentiment Scaling machine-learning workflows Example: digital display advertising

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Page Count

380

Publisher

Simon and Schuster

Published Date

ISBN 10

1638357005

ISBN 13

9781638357001

Memorial of Joseph Henry

By: Joseph Henry

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Memorial of Joseph Henry

By: Joseph Henry

Reprint of the original, first published in 1881.

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Page Count

542

Publisher

BoD – Books on Demand

Published Date

ISBN 10

3368857711

ISBN 13

9783368857714

Mastering Apache Pulsar

By: Jowanza Joseph

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Mastering Apache Pulsar

By: Jowanza Joseph

Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds. Jowanza Joseph, staff software engineer at Finicity, explains how to deploy production Pulsar clusters, write reliable event streaming applications, and build scalable real-time data pipelines with this platform. Through detailed examples, you'll learn Pulsar's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the load manager, and the storage layer. This book helps you: Understand how event streaming fits in the big data ecosystem Explore Pulsar producers, consumers, and readers for writing and reading events Build scalable data pipelines by connecting Pulsar with external systems Simplify event-streaming application building with Pulsar Functions Manage Pulsar to perform monitoring, tuning, and maintenance tasks Use Pulsar's operational measurements to secure a production cluster Process event streams using Flink and query event streams using Presto

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Page Count

242

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1492084859

ISBN 13

9781492084853

Python: Advanced Predictive Analytics

Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

By: Joseph Babcock,Ashish Kumar

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Python: Advanced Predictive Analytics

Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

By: Joseph Babcock,Ashish Kumar

Gain practical insights by exploiting data in your business to build advanced predictive modeling applications About This Book A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices Learn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering Master open source Python tools to build sophisticated predictive models Who This Book Is For This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move on from a conceptual understanding of advanced analytics and become an expert in designing and building advanced analytics solutions using Python. If you are familiar with coding in Python (or some other programming/statistical/scripting language) but have never used or read about predictive analytics algorithms, this book will also help you. What You Will Learn Understand the statistical and mathematical concepts behind predictive analytics algorithms and implement them using Python libraries Get to know various methods for importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and NumPy Master the use of Python notebooks for exploratory data analysis and rapid prototyping Get to grips with applying regression, classification, clustering, and deep learning algorithms Discover advanced methods to analyze structured and unstructured data Visualize the performance of models and the insights they produce Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis In Detail Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python. You'll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling. Finally, you will learn best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. The course provides you with highly practical content from the following Packt books: 1. Learning Predictive Analytics with Python 2. Mastering Predictive Analytics with Python Style and approach This course aims to create a smooth learning path that will teach you how to effectively perform predictive analytics using Python. Through this comprehensive course, you'll learn the basics of predictive analytics and progress to predictive modeling in the modern world.

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Page Count

661

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788993039

ISBN 13

9781788993036

Mastering Predictive Analytics with Python

By: Joseph Babcock

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Mastering Predictive Analytics with Python

By: Joseph Babcock

Exploit the power of data in your business by building advanced predictive modeling applications with Python About This Book Master open source Python tools to build sophisticated predictive models Learn to identify the right machine learning algorithm for your problem with this forward-thinking guide Grasp the major methods of predictive modeling and move beyond the basics to a deeper level of understanding Who This Book Is For This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move from a conceptual understanding of advanced analytics to an expert in designing and building advanced analytics solutions using Python. You're expected to have basic development experience with Python. What You Will Learn Gain an insight into components and design decisions for an analytical application Master the use Python notebooks for exploratory data analysis and rapid prototyping Get to grips with applying regression, classification, clustering, and deep learning algorithms Discover the advanced methods to analyze structured and unstructured data Find out how to deploy a machine learning model in a production environment Visualize the performance of models and the insights they produce Scale your solutions as your data grows using Python Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis In Detail The volume, diversity, and speed of data available has never been greater. Powerful machine learning methods can unlock the value in this information by finding complex relationships and unanticipated trends. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications to deliver insights that are of tremendous value to their organizations. In Mastering Predictive Analytics with Python, you will learn the process of turning raw data into powerful insights. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications and how to quickly apply these methods to your own data to create robust and scalable prediction services. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates not only how these methods work, but how to implement them in practice. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring the insights of predictive modeling to life Style and approach This book emphasizes on explaining methods through example data and code, showing you templates that you can quickly adapt to your own use cases. It focuses on both a practical application of sophisticated algorithms and the intuitive understanding necessary to apply the correct method to the problem at hand. Through visual examples, it also demonstrates how to convey insights through insightful charts and reporting.

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Page Count

335

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1785889826

ISBN 13

9781785889820

Natural Philosophy for the Use of Schools and Academies

By: Joseph Anthony Gillet

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Natural Philosophy for the Use of Schools and Academies

By: Joseph Anthony Gillet

Reprint of the original, first published in 1884.

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Solve jigsaw puzzle

Age

Page Count

526

Publisher

BoD – Books on Demand

Published Date

ISBN 10

3385457769

ISBN 13

9783385457768

Book's by Joseph S Park

Birds and Mammals of the Sierra Nevada

Birds and Mammals of the Sierra Nevada

Biomedical Engineering Handbook

Biomedical Engineering Handbook

Microwave and Wireless Communications Technology

Microwave and Wireless Communications Technology

SQL Server 2019 Administration Inside Out

SQL Server 2019 Administration Inside Out

Teleology and the Norms of Nature

Teleology and the Norms of Nature

A Skeleton Key to Finnegans Wake

A Skeleton Key to Finnegans Wake

Elements of Natural Philosophy. For the Use of Schools and Academies

Elements of Natural Philosophy. For the Use of Schools and Academies

Real-World Machine Learning

Real-World Machine Learning

Memorial of Joseph Henry

Memorial of Joseph Henry

Mastering Apache Pulsar

Mastering Apache Pulsar

Python: Advanced Predictive Analytics

Python: Advanced Predictive Analytics

Mastering Predictive Analytics with Python

Mastering Predictive Analytics with Python

Natural Philosophy for the Use of Schools and Academies

Natural Philosophy for the Use of Schools and Academies

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