<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[author results for Bruce, Andrew,]]></title><description><![CDATA[author results for Bruce, Andrew,]]></description><link>https://gateway.bibliocommons.com/v2/libraries/sitka/rss/search?query=Bruce%2C%20Andrew%2C&amp;searchType=author&amp;origin=core-catalog-explore&amp;view=grouped</link><generator>RSS for Node</generator><lastBuildDate>Sun, 08 Mar 2026 10:07:48 GMT</lastBuildDate><item><title><![CDATA[ESTATÍSTICA PRÁTICA PARA CIENTISTAS DE DADOS]]></title><description><![CDATA[Métodos estatísticos são uma parte crucial da ciência de dados; ainda assim, poucos cientistas de dados têm formação estatística.Os cursos e livros sobre estatística básica raramente abordam os tópicos sob a perspectiva da ciência de dados.Este guia prático explica como aplicar diversos métodos estatísticos em ciência de dados, ensina a evitar seu mau uso e aconselha sobre o que é importante e o que não é.Muitos recursos da ciência de dados incorporam métodos estatísticos, mas carecem de uma perspectiva estatística aprofundada.Se você está familiarizado com a linguagem de programação R e tem algum conhecimento estatístico, este guia fará a ponte de forma fácil e acessível.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C128437638</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C128437638</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[und]]></category><dc:creator><![CDATA[Bruce, Andrew]]></dc:creator><pubDate>Thu, 31 Jan 2019 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/128437638049</comments><format>EBOOK</format><subtitle></subtitle><language>und</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9788550806037/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[AI-assisted Statistics for Data Scientists]]></title><description><![CDATA[Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The third edition of this popular guide expands its practical foundations in R and Python into the modern AI toolkit, with new chapters on neural networks, deep learning, and large language models. Generative AI is integrated throughout, showing how tools such as ChatGPT, Claude, and Gemini work, and how they can support real-world statistical workflows. This book highlights concepts that matter most when working with data, building predictive models, and deploying AI responsibly. If you're comfortable with R or Python and have had some exposure to basic statistics, this concise reference will boost your statistical literacy, your understanding of how AI works, and your confidence in real-world data science and AI projects. Conduct exploratory analysis of data to improve quality and model outcomes Apply sampling and experimental design to reduce bias and answer questions with clarity Use regression to understand data-generating processes and detect anomalies Build predictive models using classification, clustering, and unsupervised learning with unbalanced data.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C129942914</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C129942914</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Bruce, Peter]]></dc:creator><pubDate>Sat, 31 Jan 2026 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/129942914049</comments><format>EBOOK</format><subtitle>50+ Essential Concepts Using R, Python, &amp; GenAI</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9798341666283/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Langford's Basic Photography]]></title><description><![CDATA["This seminal photography text, now in its 11th edition, has been revamped, reorganized, and modernized to include the most up-to-date and need to know information for photographers. Introducing all the key concepts and fundamentals of photography, this book is a must have for any photographer's bookcase. Providing examples and practical information throughout to allow photographers to apply concepts to their own work, the text explains the fundamentals of photography in an accessible way. Fully updated to reflect the dynamic changes in the industry, this 11th edition includes expanded and updated content focusing on advances in camera technology and digital lighting, connecting with the global photography industry and professional networks through social media, updated images throughout, and a new chapter on new digital outputs. Ideal as a foundational text for students of photography as well as a key reference for professionals"--]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C129585403</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C129585403</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Langford, Michael]]></dc:creator><pubDate>Fri, 31 Jan 2025 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/129585403049</comments><format>EBOOK</format><subtitle>The Guide for Serious Photographers</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781040124048/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Statystyka praktyczna w data science]]></title><description><![CDATA[Metody statystyczne są kluczowym narzędziem w data science, mimo to niewielu analityków danych zdobyło wykształcenie w ich zakresie. Może im to utrudniać uzyskiwanie dobrych efektów. Zrozumienie praktycznych zasad statystyki okazuje się ważne również dla programistów R i Pythona, którzy tworzą rozwiązania dla data science. Kursy podstaw statystyki rzadko jednak uwzględniają tę perspektywę, a większość podręczników do statystyki w ogóle nie zajmuje się narzę̜dziami wywodzącymi się̜ z informatyki. To drugie wydanie popularnego podrę̜cznika statystyki przeznaczonego dla analityków danych. Uzupełniono je o obszerne przykłady w Pythonie oraz wyjaśnienie, jak stosować poszczególne metody statystyczne w problemach data science, a także jak ich nie używać. Skoncentrowano się też na tych zagadnieniach statystyki, które odgrywają istotną rolę w data science. Wyjaśniono, które koncepcje są ważne i przydatne z tej perspektywy, a które mniej istotne i dlaczego. Co ważne, poszczególne koncepcje i zagadnienia praktyczne przedstawiono w sposób przyswajalny i zrozumiały również dla osób nienawykłych do posługiwania się statystyką na co dzień.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C128728499</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C128728499</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[pol]]></category><dc:creator><![CDATA[Bruce, Peter C.]]></dc:creator><pubDate>Sun, 31 Jan 2021 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/128728499049</comments><format>EBOOK</format><subtitle>50 kluczowych zagadnień w językach R i Python</subtitle><language>pol</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9788328374287/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Shu ju ke xue zhong de shi yong tong ji xue]]></title><description><![CDATA[Detailed summary in vernacular field.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C128444965</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C128444965</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[chi]]></category><dc:creator><![CDATA[Bruce, Peter C.]]></dc:creator><pubDate>Sun, 31 Jan 2021 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/128444965049</comments><format>EBOOK</format><subtitle>Practical statistics for data scientists</subtitle><language>chi</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9787115569028/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Praktische Statistik für Data Scientists, 2nd Edition]]></title><description><![CDATA[Statistische Methoden sind ein zentraler Bestandteil der Arbeit mit Daten, doch nur wenige Data Scientists haben eine formale statistische Ausbildung. In Kursen und Büchern über die Grundlagen der Statistik wird das Thema aber selten aus der Sicht von Data Scientists behandelt. Viele stellen daher fest, dass ihnen eine tiefere statistische Perspektive auf ihre Daten fehlt. Dieses praxisorientierte Handbuch mit Beispielen in Python und R erklärt Ihnen, wie Sie verschiedene statistische Methoden speziell in den Datenwissenschaften anwenden. Es zeigt Ihnen auch, wie Sie den falschen Gebrauch von statistischen Methoden vermeiden können, und gibt Ratschläge, welche statistischen Konzepte für die Datenwissenschaften besonders relevant sind. Wenn Sie mit R oder Python vertraut sind, ermöglicht diese zugängliche, gut lesbare Referenz es Ihnen, Ihr statistisches Wissen für die Praxis deutlich auszubauen.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C129618897</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C129618897</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[ger]]></category><dc:creator><![CDATA[Bruce, Peter]]></dc:creator><pubDate>Sun, 31 Jan 2021 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/129618897049</comments><format>EBOOK</format><subtitle/><language>ger</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781098129224/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Dēta saiensu no tame no tōkeigaku nyūmon]]></title><description><![CDATA["Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning." --]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C128445100</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C128445100</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[jpn]]></category><dc:creator><![CDATA[Bruce, Peter C.]]></dc:creator><pubDate>Fri, 31 Jan 2020 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/128445100049</comments><format>EBOOK</format><subtitle>yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python  puroguramingu</subtitle><language>jpn</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9784873119267/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Practical Statistics for Data Scientists, 2nd Edition]]></title><description><![CDATA[Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you'll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C129618002</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C129618002</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Bruce, Peter]]></dc:creator><pubDate>Fri, 31 Jan 2020 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/129618002049</comments><format>EBOOK</format><subtitle></subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781492072935/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Practical Statistics for Data Scientists]]></title><description><![CDATA[Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis, data and sampling distributions, statistical experiments and significance testing, regression and prediction, classification, statistical machine learning, and unsupervised learning.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C129294776</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C129294776</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Bruce, Peter C.]]></dc:creator><pubDate>Fri, 31 Jan 2020 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/129294776049</comments><format>BK</format><subtitle>50+ Essential Concepts Using R and Python</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781492072942/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[<>]]></title><link>https://sitka.bibliocommons.com/v2/record/S49C128441167</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C128441167</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[chi]]></category><dc:creator><![CDATA[Bruce, Peter]]></dc:creator><pubDate>Wed, 31 Jan 2018 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/128441167049</comments><format>EBOOK</format><subtitle/><language>chi</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9787115493668/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Practical Statistics for Data Scientists]]></title><description><![CDATA["Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you'll learn: Why exploratory data analysis is a key preliminary step in data science ; How random sampling can reduce bias and yield a higher quality dataset, even with big data ; How the principles of experimental design yield definitive answers to questions ; How to use regression to estimate outcomes and detect anomalies ; Key classification techniques for predicting which categories a record belongs to ; Statistical machine learning methods that 'learn' from data ; Unsupervised learning methods for extracting meaning from unlabeled data"--Provided by publisher.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C128425720</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C128425720</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Bruce, Peter C.]]></dc:creator><pubDate>Tue, 31 Jan 2017 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/128425720049</comments><format>EBOOK</format><subtitle>50 Essential Concepts</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781491952931/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Improve your Data Quality Using Sampling Distribution]]></title><link>https://sitka.bibliocommons.com/v2/record/S49C128425069</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C128425069</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Bruce, Peter C.]]></dc:creator><pubDate>Sun, 31 Jan 2016 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/128425069049</comments><format>EBOOK</format><subtitle>Practical Statistics for Data Science</subtitle><language>eng</language><image_url/></item><item><title><![CDATA[Improve the Outcome of your Data Experiments With A-B Testing]]></title><link>https://sitka.bibliocommons.com/v2/record/S49C128425070</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C128425070</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Bruce, Peter C.]]></dc:creator><pubDate>Sun, 31 Jan 2016 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/128425070049</comments><format>EBOOK</format><subtitle>Practical Statistics for Data Science</subtitle><language>eng</language><image_url/></item><item><title><![CDATA[Langford's Basic Photography]]></title><link>https://sitka.bibliocommons.com/v2/record/S49C128421944</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C128421944</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Langford, Michael]]></dc:creator><pubDate>Sat, 31 Jan 2015 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/128421944049</comments><format>EBOOK</format><subtitle>The Guide for Serious Photographers</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781317964728/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[An Introductory Hebrew Grammar]]></title><link>https://sitka.bibliocommons.com/v2/record/S49C103542724</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C103542724</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Davidson, A. B.]]></dc:creator><pubDate>Mon, 31 Jan 1966 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/103542724049</comments><format>BK</format><subtitle>With Progressive Exercises in Reading, Writing and Pointing</subtitle><language>eng</language><image_url/></item><item><title><![CDATA[The Called of God]]></title><link>https://sitka.bibliocommons.com/v2/record/S49C114301053</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C114301053</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Davidson, A. B.]]></dc:creator><pubDate>Tue, 31 Jan 1905 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/114301053049</comments><format>BK</format><subtitle></subtitle><language>eng</language><image_url/></item><item><title><![CDATA[Mountain Man]]></title><description><![CDATA["Life was one big adventure for Hiram Cody Tegart. At times unbelievable and others just downright impressive, Mountain Man is the celebration of a legend of a man and a legendary way of life that is quickly disappearing. Cody was born in 1950 on a ranch in BC's Columbia Valley. The bush that surrounded his family's farm was the best playground any kid could ask for. Growing up with wildlife, guns and one misadventure after another, Cody quickly gained the skills he needed to help his father manage their guiding and outfitting operation. Located around the Palliser River, his father's guiding territory extended to the Kootenay National Park and Alberta border. Cody eventually purchased the hunting business and built it into one of the most prosperous in BC. By 1984 he had an unprecedented success rate of 85 percent in elk hunts and an amazing 100 percent in goat hunts. This entertaining memoir is a collection of Cody's most unruly, shocking and hilarious escapades. Cody sums up his well-lived outdoor life with his favourite saying: 'Get tough or die!' In Mountain Man, co-author and friend Andrew Bruce Richards collects tales written by Cody, but also includes his own memories and stories from other hunters, guides and friends to give a full account of this remarkable life. Mountain Man is an ode to Cody and a way of life that celebrates the thrill of a bull elk bugling on a frosty morning, the excitement of a hunt and the satisfaction of sitting in a smoky cabin with a strong drink afterwards and the smell of elk steaks on the grill lingering in the air."--]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C125209344</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C125209344</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><dc:creator><![CDATA[Tegart, Hiram Cody]]></dc:creator><pubDate>Thu, 31 Jan 2019 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/125209344049</comments><format>BK</format><subtitle>The Life of A Guide Outfitter</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781773860060/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[A Dictionary of the Bible Dealing With Its Language, Literature, and Contents, Including the Biblical Theology]]></title><link>https://sitka.bibliocommons.com/v2/record/S49C114333551</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C114333551</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><pubDate>Sat, 31 Jan 2004 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/114333551049</comments><format>BK</format><subtitle></subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781410217226/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[The Epistle to the Hebrews]]></title><link>https://sitka.bibliocommons.com/v2/record/S49C114305794</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C114305794</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><pubDate>Tue, 31 Jan 1950 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/114305794049</comments><format>BK</format><subtitle>With Introduction and Notes</subtitle><language>eng</language><image_url/></item><item><title><![CDATA[The Books of Nahum, Habakkuk and Zephaniah]]></title><link>https://sitka.bibliocommons.com/v2/record/S49C114304765</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C114304765</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><pubDate>Sat, 31 Jan 1920 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/114304765049</comments><format>BK</format><subtitle></subtitle><language>eng</language><image_url/></item><item><title><![CDATA[A Dictionary of the Bible Dealing With Its Language, Literature, and Contents, Including the Biblical Theology]]></title><link>https://sitka.bibliocommons.com/v2/record/S49C114322206</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C114322206</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><pubDate>Invalid Date</pubDate><comments>https://sitka.bibliocommons.com/item/comment/114322206049</comments><format>BK</format><subtitle></subtitle><language>eng</language><image_url/></item><item><title><![CDATA[Raincoast Chronicles Six/ten]]></title><description><![CDATA["The second five issues of the west coast's own journal Raincoast Chronicles collected in one fascinating volume. PLUS... a spectacular full-colour selection featuring paintings of the BC coast by world-renowned artist E.J. Hughes. Over thirty historical articles along with fiction, poetry, reviews, remarkable photographs and beautiful line drawings. Some of the authors represented are Earle Birney, M. Wylie Blanchet, Hubert Evans, Jack Hodgins, Edith Iglauer, W.P. Kinsella, Dorothy Livesay, Pat Lowther, Susan Musgrave, John Skapski, Jim Spilsbury, Peter Trower, Sean Virgo, Howard White and George Woodcock. Truly a book to cherish and savour for years to come."--]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C102732699</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C102732699</guid><category><![CDATA[BK]]></category><category><![CDATA[eng]]></category><pubDate>Fri, 31 Jan 1992 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/102732699049</comments><format>BK</format><subtitle>Stories and History of the B. C. Coast</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9780920080726/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Resilience and Ageing]]></title><description><![CDATA[Understanding how creative interventions can help develop social connectivity and resilience for older people is vital in developing a holistic cross-sector approach towards ageing well. Academics with a wide range of expertise critically reflect on how the built environment, community living, cultural participation, lifelong learning, and artist-led interventions encourage older people to thrive and overcome both challenging life events and the everyday changes associated with ageing. The book uses a range of approaches, including participatory research methods, to bring the voices of older people themselves to the foreground. It looks at how taking part in creative interventions develops different types of social relationships and fosters resilience.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C129051208</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C129051208</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[eng]]></category><pubDate>Wed, 31 Jan 2018 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/129051208049</comments><format>EBOOK</format><subtitle>Creativity, Culture and Community</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781447340935/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Resilience and Ageing]]></title><description><![CDATA[Understanding how creative interventions can help develop social connectivity and resilience for older people is vital in developing a holistic cross-sector approach towards ageing well. Academics with a wide range of expertise critically reflect on how the built environment, community living, cultural participation, lifelong learning, and artist-led interventions encourage older people to thrive and overcome both challenging life events and the everyday changes associated with ageing. The book uses a range of approaches, including participatory research methods, to bring the voices of older people themselves to the foreground. It looks at how taking part in creative interventions develops different types of social relationships and fosters resilience.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C129058695</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C129058695</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[eng]]></category><pubDate>Wed, 31 Jan 2018 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/129058695049</comments><format>EBOOK</format><subtitle>Creativity, Culture and Community</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781447340935/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item><item><title><![CDATA[Resilience and Ageing]]></title><description><![CDATA[Understanding how creative interventions can help develop social connectivity and resilience for older people is vital in developing a holistic cross-sector approach towards ageing well. Academics with a wide range of expertise critically reflect on how the built environment, community living, cultural participation, lifelong learning, and artist-led interventions encourage older people to thrive and overcome both challenging life events and the everyday changes associated with ageing. The book uses a range of approaches, including participatory research methods, to bring the voices of older people themselves to the foreground. It looks at how taking part in creative interventions develops different types of social relationships and fosters resilience.]]></description><link>https://sitka.bibliocommons.com/v2/record/S49C129118965</link><guid isPermaLink="true">https://sitka.bibliocommons.com/v2/record/S49C129118965</guid><category><![CDATA[EBOOK]]></category><category><![CDATA[eng]]></category><pubDate>Wed, 31 Jan 2018 00:00:00 GMT</pubDate><comments>https://sitka.bibliocommons.com/item/comment/129118965049</comments><format>EBOOK</format><subtitle>Creativity, Culture and Community</subtitle><language>eng</language><image_url>https://secure.syndetics.com/index.aspx?isbn=9781447340935/MC.GIF&amp;client=bclibcoop&amp;type=xw12&amp;oclc=</image_url></item></channel></rss>