Author: Pamela J. Farris
Publisher: Waveland Press
ISBN: 1478613122
Category : Education
Languages : en
Pages : 583
Book Description
Teachers are torchbearers—leaders who impart knowledge, truth, or inspiration to others. Pamela Farris, joined by Patricia Rieman in the latest edition of this exceptional foundations text, clearly demonstrates how teachers bear the torch. The authors’ well-researched approach provides both positive and negative aspects of education trends. Their generous use of examples shows how teaching and schooling fit into the broader context of U.S. society and how they match up with other societies throughout the world. Farris and Rieman’s lively writing style instills teacher education candidates with a lucid understanding of such topics as philosophy and history of education, national trends, requirements of becoming a teacher, teachers’ salaries, how schools are governed and funded, demographic changes and expectations for the future, differences in rural and urban schools, and use of technology. Detailed lists of a variety of websites provide additional resources. Anecdotes of professionals in the field—authentic-voice narratives with frank insights into real-world teaching experiences—punctuate the text. Boxed scenarios concentrate on important issues and educators, energize readers’ interest, and stimulate proactive thinking. Other outstanding features are the book’s affordability and versatility. Instructors can easily assign all or a portion of the chapters to fit course needs.
Teaching, Bearing the Torch
Author: Pamela J. Farris
Publisher: Waveland Press
ISBN: 1478613122
Category : Education
Languages : en
Pages : 583
Book Description
Teachers are torchbearers—leaders who impart knowledge, truth, or inspiration to others. Pamela Farris, joined by Patricia Rieman in the latest edition of this exceptional foundations text, clearly demonstrates how teachers bear the torch. The authors’ well-researched approach provides both positive and negative aspects of education trends. Their generous use of examples shows how teaching and schooling fit into the broader context of U.S. society and how they match up with other societies throughout the world. Farris and Rieman’s lively writing style instills teacher education candidates with a lucid understanding of such topics as philosophy and history of education, national trends, requirements of becoming a teacher, teachers’ salaries, how schools are governed and funded, demographic changes and expectations for the future, differences in rural and urban schools, and use of technology. Detailed lists of a variety of websites provide additional resources. Anecdotes of professionals in the field—authentic-voice narratives with frank insights into real-world teaching experiences—punctuate the text. Boxed scenarios concentrate on important issues and educators, energize readers’ interest, and stimulate proactive thinking. Other outstanding features are the book’s affordability and versatility. Instructors can easily assign all or a portion of the chapters to fit course needs.
Publisher: Waveland Press
ISBN: 1478613122
Category : Education
Languages : en
Pages : 583
Book Description
Teachers are torchbearers—leaders who impart knowledge, truth, or inspiration to others. Pamela Farris, joined by Patricia Rieman in the latest edition of this exceptional foundations text, clearly demonstrates how teachers bear the torch. The authors’ well-researched approach provides both positive and negative aspects of education trends. Their generous use of examples shows how teaching and schooling fit into the broader context of U.S. society and how they match up with other societies throughout the world. Farris and Rieman’s lively writing style instills teacher education candidates with a lucid understanding of such topics as philosophy and history of education, national trends, requirements of becoming a teacher, teachers’ salaries, how schools are governed and funded, demographic changes and expectations for the future, differences in rural and urban schools, and use of technology. Detailed lists of a variety of websites provide additional resources. Anecdotes of professionals in the field—authentic-voice narratives with frank insights into real-world teaching experiences—punctuate the text. Boxed scenarios concentrate on important issues and educators, energize readers’ interest, and stimulate proactive thinking. Other outstanding features are the book’s affordability and versatility. Instructors can easily assign all or a portion of the chapters to fit course needs.
Teaching and Learning with TORCH
Author: Helen Lamont
Publisher: Acer Press
ISBN: 9780864316769
Category : Electronic books
Languages : en
Pages : 0
Book Description
This book is a practical resource for analysing student performance on TORCH (Tests of Reading Comprehension), and planning teaching and learning activities to develop students' reading comprehension. It provides teachers with a bridge from assessment to teaching. [Back cover].
Publisher: Acer Press
ISBN: 9780864316769
Category : Electronic books
Languages : en
Pages : 0
Book Description
This book is a practical resource for analysing student performance on TORCH (Tests of Reading Comprehension), and planning teaching and learning activities to develop students' reading comprehension. It provides teachers with a bridge from assessment to teaching. [Back cover].
The Torch
The Torch
Author: Bro. Mishaal Talib Mahfuz El Bey
Publisher: Califa Media Publishing
ISBN: 1952828007
Category : Self-Help
Languages : en
Pages : 511
Book Description
What is the S.E.L.F.? The S.E.L.F. is the sacred eternal life force, which is the spark that in turn gives birth to the S.O.U.L, which is the space of unlimited light. There is no man above or beneath in essence, however, there are those great Avatars who willingly descend into this Third Density for a Five-Fold Purpose: To Elevate, To Protect, To Inform, To Uplift, and To Inspire. This work was compiled for the sole purpose of helping cleanse the “Throne of God,” which is your consciousness that is housed and functions via your beautiful Mind, Body, and Soul. This is not an attempt to convince or condemn anyone nor anything, except the falsehood which are the results of lower-self vibratory frequency. Love cannot be destroyed, Truth cannot be hidden, Peace cannot be disturbed, Freedom won’t be caged, and Justice finds All. Wa Alaikum As Salaam and Honors to the Prophet, Sheik Shariff Abdul Ali. Islam.
Publisher: Califa Media Publishing
ISBN: 1952828007
Category : Self-Help
Languages : en
Pages : 511
Book Description
What is the S.E.L.F.? The S.E.L.F. is the sacred eternal life force, which is the spark that in turn gives birth to the S.O.U.L, which is the space of unlimited light. There is no man above or beneath in essence, however, there are those great Avatars who willingly descend into this Third Density for a Five-Fold Purpose: To Elevate, To Protect, To Inform, To Uplift, and To Inspire. This work was compiled for the sole purpose of helping cleanse the “Throne of God,” which is your consciousness that is housed and functions via your beautiful Mind, Body, and Soul. This is not an attempt to convince or condemn anyone nor anything, except the falsehood which are the results of lower-self vibratory frequency. Love cannot be destroyed, Truth cannot be hidden, Peace cannot be disturbed, Freedom won’t be caged, and Justice finds All. Wa Alaikum As Salaam and Honors to the Prophet, Sheik Shariff Abdul Ali. Islam.
Education
The Classical Weekly
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Classical Weekly
Deep Learning with PyTorch
Author: Luca Pietro Giovanni Antiga
Publisher: Simon and Schuster
ISBN: 1638354073
Category : Computers
Languages : en
Pages : 518
Book Description
“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production
Publisher: Simon and Schuster
ISBN: 1638354073
Category : Computers
Languages : en
Pages : 518
Book Description
“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production
The Girl in the Torch
Author: Robert Sharenow
Publisher: HarperCollins
ISBN: 0062227971
Category : Juvenile Fiction
Languages : en
Pages : 188
Book Description
The Invention of Hugo Cabret meets True Grit in this heartfelt novel of resilience, hope, and discovering a family where you least expect it, from award-winning author Robert Sharenow. At the dawn of the twentieth century, thousands of immigrants are arriving in the promised land of New York City. Twelve-year-old Sarah has always dreamed of America, a land of freedom and possibility. In her small village she stares at a postcard of the Statue of Liberty and imagines the Lady beckoning to her. When Sarah and her mother finally journey across the Atlantic, though, tragedy strikes—and Sarah finds herself being sent back before she even sets foot in the country. Yet just as Sarah is ushered onto the boat that will send her away from the land of her dreams, she makes a life-or-death decision. She daringly jumps off the back of the boat and swims as hard as she can toward the Lady's island and a new life. Her leap of faith leads her to an unbelievable hiding place: the Statue of Liberty itself. Now Sarah must find a way to Manhattan while avoiding the night watchman and scavenging enough food to survive. When a surprising ally helps bring her to the city, Sarah finds herself facing new dangers and a life on her own. Will she ever find a true home in America?
Publisher: HarperCollins
ISBN: 0062227971
Category : Juvenile Fiction
Languages : en
Pages : 188
Book Description
The Invention of Hugo Cabret meets True Grit in this heartfelt novel of resilience, hope, and discovering a family where you least expect it, from award-winning author Robert Sharenow. At the dawn of the twentieth century, thousands of immigrants are arriving in the promised land of New York City. Twelve-year-old Sarah has always dreamed of America, a land of freedom and possibility. In her small village she stares at a postcard of the Statue of Liberty and imagines the Lady beckoning to her. When Sarah and her mother finally journey across the Atlantic, though, tragedy strikes—and Sarah finds herself being sent back before she even sets foot in the country. Yet just as Sarah is ushered onto the boat that will send her away from the land of her dreams, she makes a life-or-death decision. She daringly jumps off the back of the boat and swims as hard as she can toward the Lady's island and a new life. Her leap of faith leads her to an unbelievable hiding place: the Statue of Liberty itself. Now Sarah must find a way to Manhattan while avoiding the night watchman and scavenging enough food to survive. When a surprising ally helps bring her to the city, Sarah finds herself facing new dangers and a life on her own. Will she ever find a true home in America?