Lakeland: PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Lakeland: PDF full book. Access full book title Lakeland: by Lakeland Community Heritage Project Inc.. Download full books in PDF and EPUB format.
Author: Lakeland Community Heritage Project Inc.
Publisher: Arcadia Publishing
ISBN: 1439622744
Category : History
Languages : en
Pages : 132
Get Book Here
Book Description
Lakeland, the historical African American community of College Park, was formed around 1890 on the doorstep of the Maryland Agricultural College, now the University of Maryland, in northern Prince George's County. Located less than 10 miles from Washington, D.C., the community began when the area was largely rural and overwhelmingly populated by European Americans. Lakeland is one of several small, African American communities along the U.S. Route 1 corridor between Washington, D.C., and Laurel, Maryland. With Lakeland's central geographic location and easy access to train and trolley transportation, it became a natural gathering place for African American social and recreational activities, and it thrived until its self-contained uniqueness was undermined by the federal government's urban renewal program and by societal change. The story of Lakeland is the tale of a community that was established and flourished in a segregated society and developed its own institutions and traditions, including the area's only high school for African Americans, built in 1928.
Author: Lakeland Community Heritage Project Inc.
Publisher: Arcadia Publishing
ISBN: 1439622744
Category : History
Languages : en
Pages : 132
Get Book Here
Book Description
Lakeland, the historical African American community of College Park, was formed around 1890 on the doorstep of the Maryland Agricultural College, now the University of Maryland, in northern Prince George's County. Located less than 10 miles from Washington, D.C., the community began when the area was largely rural and overwhelmingly populated by European Americans. Lakeland is one of several small, African American communities along the U.S. Route 1 corridor between Washington, D.C., and Laurel, Maryland. With Lakeland's central geographic location and easy access to train and trolley transportation, it became a natural gathering place for African American social and recreational activities, and it thrived until its self-contained uniqueness was undermined by the federal government's urban renewal program and by societal change. The story of Lakeland is the tale of a community that was established and flourished in a segregated society and developed its own institutions and traditions, including the area's only high school for African Americans, built in 1928.
Author: Aharon Apelfeld
Publisher: David R. Godine Publisher
ISBN: 9780879237998
Category : Fiction
Languages : en
Pages : 166
Get Book Here
Book Description
A tale of Europe in the days just before the war. It tells of a small group of Jewish holiday makers in the resort of Badenheim in the Spring of 1939. Hitler's war looms, but Badenheim and its summer residents go about life as normal."
Author: K. Kiyek
Publisher: Springer Science & Business Media
ISBN: 1402020295
Category : Mathematics
Languages : en
Pages : 506
Get Book Here
Book Description
The Curves The Point of View of Max Noether Probably the oldest references to the problem of resolution of singularities are found in Max Noether's works on plane curves [cf. [148], [149]]. And probably the origin of the problem was to have a formula to compute the genus of a plane curve. The genus is the most useful birational invariant of a curve in classical projective geometry. It was long known that, for a plane curve of degree n having l m ordinary singular points with respective multiplicities ri, i E {1, . . . , m}, the genus p of the curve is given by the formula = (n - l)(n - 2) _ ~ "r. (r. _ 1) P 2 2 L. . ,. •• . Of course, the problem now arises: how to compute the genus of a plane curve having some non-ordinary singularities. This leads to the natural question: can we birationally transform any (singular) plane curve into another one having only ordinary singularities? The answer is positive. Let us give a flavor (without proofs) 2 on how Noether did it • To solve the problem, it is enough to consider a special kind of Cremona trans formations, namely quadratic transformations of the projective plane. Let ~ be a linear system of conics with three non-collinear base points r = {Ao, AI, A }, 2 and take a projective frame of the type {Ao, AI, A ; U}.
Author:
Publisher:
ISBN: 9780328941650
Category : English language
Languages : en
Pages :
Get Book Here
Book Description
"myView Literacy is a comprehensive English Language Arts (ELA) curriculum for students in Grades K-5. It provides a balanced approach to teaching reading, writing, speaking, listening, and thinking through Reading and Writing Workshops. The all-new, print and digital curriculum includes authentic texts and minilessons, flexible resources, and meaningful differentiation."--Publisher's website.
Author:
Publisher: Pearson Scott Foresman
ISBN: 9780134954660
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Brad Boehmke
Publisher: CRC Press
ISBN: 1000730433
Category : Business & Economics
Languages : en
Pages : 373
Get Book Here
Book Description
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Author: Robin Lovelace
Publisher: CRC Press
ISBN: 1351396900
Category : Mathematics
Languages : en
Pages : 335
Get Book Here
Book Description
Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.
Author: Ewen Harrison
Publisher: CRC Press
ISBN: 1000226166
Category : Medical
Languages : en
Pages : 354
Get Book Here
Book Description
In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. R for Health Data Science includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses. Features Provides an introduction to the fundamentals of R for healthcare professionals Highlights the most popular statistical approaches to health data science Written to be as accessible as possible with minimal mathematics Emphasises the importance of truly understanding the underlying data through the use of plots Includes numerous examples that can be adapted for your own data Helps you create publishable documents and collaborate across teams With this book, you are in safe hands – Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years’ combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms.
Author: John Coene
Publisher: CRC Press
ISBN: 1000408175
Category : Business & Economics
Languages : en
Pages : 316
Get Book Here
Book Description
Little known to many, R works just as well with JavaScript—this book delves into the various ways both languages can work together. The ultimate aim of this work is to put the reader at ease with inviting JavaScript in their data science workflow. In that respect the book is not teaching one JavaScript but rather we show how little JavaScript can greatly support and enhance R code. Therefore, the focus is on integrating external JavaScript libraries and no prior knowledge of JavaScript is required. Key Features: ● Easy to pick up. ● An entry way to learning JavaScript for R. ● Covers topics not covered anywhere else. ● Easy to follow along.
Author: Ryan A. Estrellado
Publisher: Routledge
ISBN: 1000200906
Category : Education
Languages : en
Pages : 315
Get Book Here
Book Description
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
