Author: Daniel J. Curtin
Publisher:
ISBN:
Category : City planning and redevelopment law
Languages : en
Pages : 308
Book Description
California Land-use and Planning Law
Author: Daniel J. Curtin
Publisher:
ISBN:
Category : City planning and redevelopment law
Languages : en
Pages : 308
Book Description
Publisher:
ISBN:
Category : City planning and redevelopment law
Languages : en
Pages : 308
Book Description
Oer
Author: Andrew Wesolek
Publisher: Pacific University Press
ISBN: 9781945398797
Category :
Languages : en
Pages : 544
Book Description
For many of us, the drive to affect positive change--however vague or idiosyncratic our sense of this might be--has guided our work in higher education. We champion the pursuit of a college degree because few endeavors can match it in terms of advancing a person's economic mobility (Chetty, Friedman, Saez, Turner, and Yagan; 2017). Despite recent debates about the value of a college degree (Pew Research Center, 2017), the opportunities and financial stability awarded to those with college degrees remain apparent when they are compared to peers who have only graduated high school (Pew Research Center, 2014). And while more Americans have a college degree than ever before (Ryan and Bauman, 2016), access to a formal, post-secondary education continues to be elusive for some. Indeed, over the last ten years, analysts have projected that the cost of attending college would keep 2.4 million low-to-moderate income, college-qualified high school graduates from completing a college degree (Advisory Committee on Student Financial Assistance, 2006). During that same period, college students in the United States saw expenses related to tuition and fees increase by 63 percent, school housing costs (excluding board) increase by 51 percent, textbook prices increase by 88 percent (Bureau of Labor, 2016). Because few students can afford a college education by salary alone, 44.2 million Americans have sought financial aid via student loans. As a result, total student loan debt is now topping $1.45 trillion in the United States (Board of Governors of the Federal Reserve System, 2017), and student loan delinquency rates are averaging 11.2 percent (Federal Reserve Bank of New York, 2017). The burden of a student's financial decisions extends beyond the mere individual: society will inevitably carry the weight of this debt for years to come.
Publisher: Pacific University Press
ISBN: 9781945398797
Category :
Languages : en
Pages : 544
Book Description
For many of us, the drive to affect positive change--however vague or idiosyncratic our sense of this might be--has guided our work in higher education. We champion the pursuit of a college degree because few endeavors can match it in terms of advancing a person's economic mobility (Chetty, Friedman, Saez, Turner, and Yagan; 2017). Despite recent debates about the value of a college degree (Pew Research Center, 2017), the opportunities and financial stability awarded to those with college degrees remain apparent when they are compared to peers who have only graduated high school (Pew Research Center, 2014). And while more Americans have a college degree than ever before (Ryan and Bauman, 2016), access to a formal, post-secondary education continues to be elusive for some. Indeed, over the last ten years, analysts have projected that the cost of attending college would keep 2.4 million low-to-moderate income, college-qualified high school graduates from completing a college degree (Advisory Committee on Student Financial Assistance, 2006). During that same period, college students in the United States saw expenses related to tuition and fees increase by 63 percent, school housing costs (excluding board) increase by 51 percent, textbook prices increase by 88 percent (Bureau of Labor, 2016). Because few students can afford a college education by salary alone, 44.2 million Americans have sought financial aid via student loans. As a result, total student loan debt is now topping $1.45 trillion in the United States (Board of Governors of the Federal Reserve System, 2017), and student loan delinquency rates are averaging 11.2 percent (Federal Reserve Bank of New York, 2017). The burden of a student's financial decisions extends beyond the mere individual: society will inevitably carry the weight of this debt for years to come.
Teaching Computational Thinking
Author: Maureen D. Neumann
Publisher: MIT Press
ISBN: 0262045052
Category : Computers
Languages : en
Pages : 201
Book Description
A guide for educators to incorporate computational thinking—a set of cognitive skills applied to problem solving—into a broad range of subjects. Computational thinking—a set of mental and cognitive tools applied to problem solving—is a fundamental skill that all of us (and not just computer scientists) draw on. Educators have found that computational thinking enhances learning across a range of subjects and reinforces students’ abilities in reading, writing, and arithmetic. This book offers a guide for incorporating computational thinking into middle school and high school classrooms, presenting a series of activities, projects, and tasks that employ a range of pedagogical practices and cross a variety of content areas. As students problem solve, communicate, persevere, work as a team, and learn from mistakes, they develop a concrete understanding of the abstract principles used in computer science to create code and other digital artifacts. The book guides students and teachers to integrate computer programming with visual art and geometry, generating abstract expressionist–style images; construct topological graphs that represent the relationships between characters in such literary works as Harry Potter and the Sorcerer’s Stone and Romeo and Juliet; apply Newtonian physics to the creation of computer games; and locate, analyze, and present empirical data relevant to social and political issues. Finally, the book lists a variety of classroom resources, including the programming languages Scratch (free to all) and Codesters (free to teachers). An accompanying website contains the executable programs used in the book’s activities.
Publisher: MIT Press
ISBN: 0262045052
Category : Computers
Languages : en
Pages : 201
Book Description
A guide for educators to incorporate computational thinking—a set of cognitive skills applied to problem solving—into a broad range of subjects. Computational thinking—a set of mental and cognitive tools applied to problem solving—is a fundamental skill that all of us (and not just computer scientists) draw on. Educators have found that computational thinking enhances learning across a range of subjects and reinforces students’ abilities in reading, writing, and arithmetic. This book offers a guide for incorporating computational thinking into middle school and high school classrooms, presenting a series of activities, projects, and tasks that employ a range of pedagogical practices and cross a variety of content areas. As students problem solve, communicate, persevere, work as a team, and learn from mistakes, they develop a concrete understanding of the abstract principles used in computer science to create code and other digital artifacts. The book guides students and teachers to integrate computer programming with visual art and geometry, generating abstract expressionist–style images; construct topological graphs that represent the relationships between characters in such literary works as Harry Potter and the Sorcerer’s Stone and Romeo and Juliet; apply Newtonian physics to the creation of computer games; and locate, analyze, and present empirical data relevant to social and political issues. Finally, the book lists a variety of classroom resources, including the programming languages Scratch (free to all) and Codesters (free to teachers). An accompanying website contains the executable programs used in the book’s activities.
Chickasaw
Author: Jeannie Barbour
Publisher: Graphic Arts Center Publishing Co.
ISBN: 1558689923
Category : Art
Languages : en
Pages : 129
Book Description
Tells the story of the Chickasaw people through vivid photography and rich essays.
Publisher: Graphic Arts Center Publishing Co.
ISBN: 1558689923
Category : Art
Languages : en
Pages : 129
Book Description
Tells the story of the Chickasaw people through vivid photography and rich essays.
Water Activity in Foods
Author: Gustavo V. Barbosa-Cánovas
Publisher: John Wiley & Sons
ISBN: 1118823389
Category : Technology & Engineering
Languages : en
Pages : 640
Book Description
This second edition of Water Activity in Foods furnishes those working within food manufacturing, quality control, and safety with a newly revised guide to water activity and its role in the preservation and processing of food items. With clear, instructional prose and illustrations, the book’s international team of contributors break down the essential principles of water activity and water–food interactions, delineating water’s crucial impact upon attributes such as flavor, appearance, texture, and shelf life. The updated and expanded second edition continues to offer an authoritative overview of the subject, while also broadening its scope to include six newly written chapters covering the latest developments in water activity research. Exploring topics ranging from deliquescence to crispness, these insightful new inclusions complement existing content that has been refreshed and reconfigured to support the food industry of today.
Publisher: John Wiley & Sons
ISBN: 1118823389
Category : Technology & Engineering
Languages : en
Pages : 640
Book Description
This second edition of Water Activity in Foods furnishes those working within food manufacturing, quality control, and safety with a newly revised guide to water activity and its role in the preservation and processing of food items. With clear, instructional prose and illustrations, the book’s international team of contributors break down the essential principles of water activity and water–food interactions, delineating water’s crucial impact upon attributes such as flavor, appearance, texture, and shelf life. The updated and expanded second edition continues to offer an authoritative overview of the subject, while also broadening its scope to include six newly written chapters covering the latest developments in water activity research. Exploring topics ranging from deliquescence to crispness, these insightful new inclusions complement existing content that has been refreshed and reconfigured to support the food industry of today.
Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Deep Learning
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
California Water
Author: Arthur L. Littleworth
Publisher: Solano Press Books
ISBN:
Category : Water
Languages : en
Pages : 396
Book Description
Publisher: Solano Press Books
ISBN:
Category : Water
Languages : en
Pages : 396
Book Description
Unfreedom of the Press
Author: Mark R. Levin
Publisher: Threshold Editions
ISBN: 1476773467
Category : Political Science
Languages : en
Pages : 272
Book Description
Six-time New York Times bestselling author, FOX News star, and radio host Mark R. Levin “trounces the news media” (The Washington Times) in this timely and groundbreaking book demonstrating how the great tradition of American free press has degenerated into a standardless profession that has squandered the faith and trust of the public. Unfreedom of the Press is not just another book about the press. In “Levin’s finest work” (Breitbart), he shows how those entrusted with news reporting today are destroying freedom of the press from within—not through actions of government officials, but with its own abandonment of reportorial integrity and objective journalism. With the depth of historical background for which his books are renowned, Levin takes you on a journey through the early American patriot press, which proudly promoted the principles set forth in the Declaration of Independence and the Constitution. This is followed by the early decades of the Republic during which newspapers around the young country were open and transparent about their fierce allegiance to one political party or another. It was only at the start of the Progressive Era and the 20th century that the supposed “objectivity of the press” first surfaced, leaving us where we are today: with a partisan party-press overwhelmingly aligned with a political ideology but hypocritically engaged in a massive untruth as to its real nature.
Publisher: Threshold Editions
ISBN: 1476773467
Category : Political Science
Languages : en
Pages : 272
Book Description
Six-time New York Times bestselling author, FOX News star, and radio host Mark R. Levin “trounces the news media” (The Washington Times) in this timely and groundbreaking book demonstrating how the great tradition of American free press has degenerated into a standardless profession that has squandered the faith and trust of the public. Unfreedom of the Press is not just another book about the press. In “Levin’s finest work” (Breitbart), he shows how those entrusted with news reporting today are destroying freedom of the press from within—not through actions of government officials, but with its own abandonment of reportorial integrity and objective journalism. With the depth of historical background for which his books are renowned, Levin takes you on a journey through the early American patriot press, which proudly promoted the principles set forth in the Declaration of Independence and the Constitution. This is followed by the early decades of the Republic during which newspapers around the young country were open and transparent about their fierce allegiance to one political party or another. It was only at the start of the Progressive Era and the 20th century that the supposed “objectivity of the press” first surfaced, leaving us where we are today: with a partisan party-press overwhelmingly aligned with a political ideology but hypocritically engaged in a massive untruth as to its real nature.
Bronx Life
Author: David Gonzalez
Publisher:
ISBN: 9781737931621
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781737931621
Category :
Languages : en
Pages :
Book Description