Author: Geoffrey R. Scott
Publisher: Jones & Bartlett Learning
ISBN: 9780763733766
Category : Football players
Languages : en
Pages : 382
Book Description
FOOTBALL Rising to the Challenge will help college football and rookie football players who are considering a career in the pros prepare for certain challenges and learn to overcome them. It includes advice on financial career aspects; agent issues; mental and emotional preparation; dealing with the media; balancing personal goals with team interests; and endorsement deals. This volume has forty-seven original essays written by more than thirty-five well-known professional athletes, college and professional coaches, NFL team and league administrators, agents, lawyers, and others who have experience in the field.
Football Rising to the Challenge
Author: Geoffrey R. Scott
Publisher: Jones & Bartlett Learning
ISBN: 9780763733766
Category : Football players
Languages : en
Pages : 382
Book Description
FOOTBALL Rising to the Challenge will help college football and rookie football players who are considering a career in the pros prepare for certain challenges and learn to overcome them. It includes advice on financial career aspects; agent issues; mental and emotional preparation; dealing with the media; balancing personal goals with team interests; and endorsement deals. This volume has forty-seven original essays written by more than thirty-five well-known professional athletes, college and professional coaches, NFL team and league administrators, agents, lawyers, and others who have experience in the field.
Publisher: Jones & Bartlett Learning
ISBN: 9780763733766
Category : Football players
Languages : en
Pages : 382
Book Description
FOOTBALL Rising to the Challenge will help college football and rookie football players who are considering a career in the pros prepare for certain challenges and learn to overcome them. It includes advice on financial career aspects; agent issues; mental and emotional preparation; dealing with the media; balancing personal goals with team interests; and endorsement deals. This volume has forty-seven original essays written by more than thirty-five well-known professional athletes, college and professional coaches, NFL team and league administrators, agents, lawyers, and others who have experience in the field.
Counterfeit Amateurs
Author: Allen L. Sack
Publisher: Penn State Press
ISBN: 0271047224
Category : Political Science
Languages : en
Pages : 218
Book Description
"A leader among faculty fighting back has been Allen Sack, a co-founder of the Drake Group, whose writings and public appearances, including work as an expert witness, have gained him recognition as an outspoken advocate for athletic reform. This book brings together in a compelling way his personal story, as a highly recruited high school athlete and a football player at Notre Dame under legendary coach Ara Parseghian, and his fight since then, as a scholar-activist, against what he calls the "academic capitalism" of the system under current NCAA rules."--BOOK JACKET.
Publisher: Penn State Press
ISBN: 0271047224
Category : Political Science
Languages : en
Pages : 218
Book Description
"A leader among faculty fighting back has been Allen Sack, a co-founder of the Drake Group, whose writings and public appearances, including work as an expert witness, have gained him recognition as an outspoken advocate for athletic reform. This book brings together in a compelling way his personal story, as a highly recruited high school athlete and a football player at Notre Dame under legendary coach Ara Parseghian, and his fight since then, as a scholar-activist, against what he calls the "academic capitalism" of the system under current NCAA rules."--BOOK JACKET.
Interstate Gas Pipeline Ratemaking
Author:
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 134
Book Description
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 134
Book Description
PRO SITE SERV,
Author: TABINI
Publisher: Apress
ISBN: 9781861002501
Category : Science
Languages : en
Pages : 738
Book Description
Microsoft Commerce Server 3.0 is part of Microsoft Site Server 3.0, Commerce Edition. While Site Server encompasses a wide variety of markets, MSCS focuses on the creation of electronic commerce sites. EC is already a booming market, with over $200 billion in sales projected by the year 2001, and thousands of companies, from veterans of the traditional retail chain to Internet startups, are rushing into this business. MSCS has already been successfully used for a number of ventures.
Publisher: Apress
ISBN: 9781861002501
Category : Science
Languages : en
Pages : 738
Book Description
Microsoft Commerce Server 3.0 is part of Microsoft Site Server 3.0, Commerce Edition. While Site Server encompasses a wide variety of markets, MSCS focuses on the creation of electronic commerce sites. EC is already a booming market, with over $200 billion in sales projected by the year 2001, and thousands of companies, from veterans of the traditional retail chain to Internet startups, are rushing into this business. MSCS has already been successfully used for a number of ventures.
Congressional Record
Author: United States. Congress
Publisher:
ISBN:
Category : Law
Languages : en
Pages : 1390
Book Description
Publisher:
ISBN:
Category : Law
Languages : en
Pages : 1390
Book Description
Data Engineering with AWS
Author: Gareth Eagar
Publisher: Packt Publishing Ltd
ISBN: 1800569041
Category : Computers
Languages : en
Pages : 482
Book Description
The missing expert-led manual for the AWS ecosystem — go from foundations to building data engineering pipelines effortlessly Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn about common data architectures and modern approaches to generating value from big data Explore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Learn how to architect and implement data lakes and data lakehouses for big data analytics from a data lakes expert Book DescriptionWritten by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS. As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data. By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.What you will learn Understand data engineering concepts and emerging technologies Ingest streaming data with Amazon Kinesis Data Firehose Optimize, denormalize, and join datasets with AWS Glue Studio Use Amazon S3 events to trigger a Lambda process to transform a file Run complex SQL queries on data lake data using Amazon Athena Load data into a Redshift data warehouse and run queries Create a visualization of your data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Who this book is for This book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.
Publisher: Packt Publishing Ltd
ISBN: 1800569041
Category : Computers
Languages : en
Pages : 482
Book Description
The missing expert-led manual for the AWS ecosystem — go from foundations to building data engineering pipelines effortlessly Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn about common data architectures and modern approaches to generating value from big data Explore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Learn how to architect and implement data lakes and data lakehouses for big data analytics from a data lakes expert Book DescriptionWritten by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS. As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data. By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.What you will learn Understand data engineering concepts and emerging technologies Ingest streaming data with Amazon Kinesis Data Firehose Optimize, denormalize, and join datasets with AWS Glue Studio Use Amazon S3 events to trigger a Lambda process to transform a file Run complex SQL queries on data lake data using Amazon Athena Load data into a Redshift data warehouse and run queries Create a visualization of your data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Who this book is for This book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.
STEM-Infusing the Elementary Classroom
Author: Miranda Talley Reagan
Publisher: Corwin Press
ISBN: 1506336965
Category : Education
Languages : en
Pages : 134
Book Description
Make learning relevant with STEM essential questions Planning interdisciplinary STEM lessons that meet K-5 grade level expectations can be a challenge. How do you fit it all in? In this engaging, well-organized guide, STEM instructional trailblazer Miranda Reagan provides a teacher-friendly, research-based guide to quickly and confidently infuse STEM concepts across content areas. Real-world vignettes, sample lessons and templates, discussion questions, and immediately applicable action steps help you seamlessly promote college and career ready skills. This inspiring guide helps teachers use STEM-infused interdisciplinary instruction to: Deepen all content areas, including English/ Language Arts Promote the 4Cs: communication, collaboration, critical thinking, and creativity Require students to take risks to solve problems Differentiate instruction and scaffold support Expand students’ specific measurable capabilities Incorporate design skills into the curricula Save valuable time and confidently develop standards-aligned STEM projects across all content areas with this breakthrough guide! "Spirited Teachers Eliciting Memories. Miranda′s book is an inspiration for the elementary teacher who wants to begin using STEM in the classroom." She has answered all of the "but what ifs" and the "I′m not sures" and given teachers the answers to the "hows and whys" it will work." –Dr. Jill C. Mertz, Adjunct Professor of Education at Maryville College, Maryville, TN "After reading this book, infusing STEM into your elementary classroom will be as easy as 1,2,3...A, B, C!" –Susan Schipper, Elementary Teacher, Charles Street School, Palmyra, NJ
Publisher: Corwin Press
ISBN: 1506336965
Category : Education
Languages : en
Pages : 134
Book Description
Make learning relevant with STEM essential questions Planning interdisciplinary STEM lessons that meet K-5 grade level expectations can be a challenge. How do you fit it all in? In this engaging, well-organized guide, STEM instructional trailblazer Miranda Reagan provides a teacher-friendly, research-based guide to quickly and confidently infuse STEM concepts across content areas. Real-world vignettes, sample lessons and templates, discussion questions, and immediately applicable action steps help you seamlessly promote college and career ready skills. This inspiring guide helps teachers use STEM-infused interdisciplinary instruction to: Deepen all content areas, including English/ Language Arts Promote the 4Cs: communication, collaboration, critical thinking, and creativity Require students to take risks to solve problems Differentiate instruction and scaffold support Expand students’ specific measurable capabilities Incorporate design skills into the curricula Save valuable time and confidently develop standards-aligned STEM projects across all content areas with this breakthrough guide! "Spirited Teachers Eliciting Memories. Miranda′s book is an inspiration for the elementary teacher who wants to begin using STEM in the classroom." She has answered all of the "but what ifs" and the "I′m not sures" and given teachers the answers to the "hows and whys" it will work." –Dr. Jill C. Mertz, Adjunct Professor of Education at Maryville College, Maryville, TN "After reading this book, infusing STEM into your elementary classroom will be as easy as 1,2,3...A, B, C!" –Susan Schipper, Elementary Teacher, Charles Street School, Palmyra, NJ
Playing a Round with the Little Pro
Author: Eddie Merrins
Publisher: Simon and Schuster
ISBN: 0743299213
Category : Sports & Recreation
Languages : en
Pages : 240
Book Description
In the world of professional golf, everyone knows "the Little Pro" -- Eddie Merrins, the head professional at the Bel-Air Country Club. A living bridge between the Golden Age of the sport and the greatest champions of today, his experiences and friendships reach back to Bobby Jones, Sam Snead, and Ben Hogan, and all the way forward to Tiger Woods, Amy Alcott, and Vijay Singh. Both on and off the course, he's an embodiment of the highest principles of the game. In dozens of short, personal anecdotes told with his trademark wit and modesty, Merrins invites readers to share the decades he spent in the very good company of famous Hollywood stars, celebrated athletes and coaches, and countless lovers of the game seeking his advice and encouragement. In these pages, Merrins generously offers for the first time all his insights on the mental, physical, technical, and even spiritual aspects of the sport. Ranging from swing fundamentals to setting goals to shotmaking, this advice is relevant to players at every level of experience. Playing a Round with the Little Pro celebrates a wonderful life lived in and for the great sport of golf, and it is destined, like its author, to be a classic of the game.
Publisher: Simon and Schuster
ISBN: 0743299213
Category : Sports & Recreation
Languages : en
Pages : 240
Book Description
In the world of professional golf, everyone knows "the Little Pro" -- Eddie Merrins, the head professional at the Bel-Air Country Club. A living bridge between the Golden Age of the sport and the greatest champions of today, his experiences and friendships reach back to Bobby Jones, Sam Snead, and Ben Hogan, and all the way forward to Tiger Woods, Amy Alcott, and Vijay Singh. Both on and off the course, he's an embodiment of the highest principles of the game. In dozens of short, personal anecdotes told with his trademark wit and modesty, Merrins invites readers to share the decades he spent in the very good company of famous Hollywood stars, celebrated athletes and coaches, and countless lovers of the game seeking his advice and encouragement. In these pages, Merrins generously offers for the first time all his insights on the mental, physical, technical, and even spiritual aspects of the sport. Ranging from swing fundamentals to setting goals to shotmaking, this advice is relevant to players at every level of experience. Playing a Round with the Little Pro celebrates a wonderful life lived in and for the great sport of golf, and it is destined, like its author, to be a classic of the game.
Things That Make White People Uncomfortable
Author: Michael Bennett
Publisher: Haymarket Books
ISBN: 1642590800
Category : Biography & Autobiography
Languages : en
Pages : 152
Book Description
Michael Bennett is a Super Bowl Champion, a three-time Pro Bowl defensive end, a fearless activist, a feminist, a grassroots philanthropist, an organizer, and a change maker. He's also one of the most scathingly humorous athletes on the planet, and he wants to make you uncomfortable. Bennett adds his unmistakable voice to discussions of racism and police violence, Black athletes and their relationship to powerful institutions like the NCAA and the NFL, the role of protest in history, and the responsibilities of athletes as role models to speak out against injustice. Following in the footsteps of activist-athletes from Muhammad Ali to Colin Kaepernick, Bennett demonstrates his outspoken leadership both on and off the field.Written with award-winning sportswriter and author Dave Zirin, Things that Make White People Uncomfortable is a sports book for our turbulent times, a memoir, and a manifesto as hilarious and engaging as it is illuminating.
Publisher: Haymarket Books
ISBN: 1642590800
Category : Biography & Autobiography
Languages : en
Pages : 152
Book Description
Michael Bennett is a Super Bowl Champion, a three-time Pro Bowl defensive end, a fearless activist, a feminist, a grassroots philanthropist, an organizer, and a change maker. He's also one of the most scathingly humorous athletes on the planet, and he wants to make you uncomfortable. Bennett adds his unmistakable voice to discussions of racism and police violence, Black athletes and their relationship to powerful institutions like the NCAA and the NFL, the role of protest in history, and the responsibilities of athletes as role models to speak out against injustice. Following in the footsteps of activist-athletes from Muhammad Ali to Colin Kaepernick, Bennett demonstrates his outspoken leadership both on and off the field.Written with award-winning sportswriter and author Dave Zirin, Things that Make White People Uncomfortable is a sports book for our turbulent times, a memoir, and a manifesto as hilarious and engaging as it is illuminating.
Distributed Machine Learning with Python
Author: Guanhua Wang
Publisher: Packt Publishing Ltd
ISBN: 1801817219
Category : Computers
Languages : en
Pages : 284
Book Description
Build and deploy an efficient data processing pipeline for machine learning model training in an elastic, in-parallel model training or multi-tenant cluster and cloud Key FeaturesAccelerate model training and interference with order-of-magnitude time reductionLearn state-of-the-art parallel schemes for both model training and servingA detailed study of bottlenecks at distributed model training and serving stagesBook Description Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python development knowledge to work to get up and running with the implementation of distributed machine learning, including multi-node machine learning systems, in no time. You'll begin by exploring how distributed systems work in the machine learning area and how distributed machine learning is applied to state-of-the-art deep learning models. As you advance, you'll see how to use distributed systems to enhance machine learning model training and serving speed. You'll also get to grips with applying data parallel and model parallel approaches before optimizing the in-parallel model training and serving pipeline in local clusters or cloud environments. By the end of this book, you'll have gained the knowledge and skills needed to build and deploy an efficient data processing pipeline for machine learning model training and inference in a distributed manner. What you will learnDeploy distributed model training and serving pipelinesGet to grips with the advanced features in TensorFlow and PyTorchMitigate system bottlenecks during in-parallel model training and servingDiscover the latest techniques on top of classical parallelism paradigmExplore advanced features in Megatron-LM and Mesh-TensorFlowUse state-of-the-art hardware such as NVLink, NVSwitch, and GPUsWho this book is for This book is for data scientists, machine learning engineers, and ML practitioners in both academia and industry. A fundamental understanding of machine learning concepts and working knowledge of Python programming is assumed. Prior experience implementing ML/DL models with TensorFlow or PyTorch will be beneficial. You'll find this book useful if you are interested in using distributed systems to boost machine learning model training and serving speed.
Publisher: Packt Publishing Ltd
ISBN: 1801817219
Category : Computers
Languages : en
Pages : 284
Book Description
Build and deploy an efficient data processing pipeline for machine learning model training in an elastic, in-parallel model training or multi-tenant cluster and cloud Key FeaturesAccelerate model training and interference with order-of-magnitude time reductionLearn state-of-the-art parallel schemes for both model training and servingA detailed study of bottlenecks at distributed model training and serving stagesBook Description Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python development knowledge to work to get up and running with the implementation of distributed machine learning, including multi-node machine learning systems, in no time. You'll begin by exploring how distributed systems work in the machine learning area and how distributed machine learning is applied to state-of-the-art deep learning models. As you advance, you'll see how to use distributed systems to enhance machine learning model training and serving speed. You'll also get to grips with applying data parallel and model parallel approaches before optimizing the in-parallel model training and serving pipeline in local clusters or cloud environments. By the end of this book, you'll have gained the knowledge and skills needed to build and deploy an efficient data processing pipeline for machine learning model training and inference in a distributed manner. What you will learnDeploy distributed model training and serving pipelinesGet to grips with the advanced features in TensorFlow and PyTorchMitigate system bottlenecks during in-parallel model training and servingDiscover the latest techniques on top of classical parallelism paradigmExplore advanced features in Megatron-LM and Mesh-TensorFlowUse state-of-the-art hardware such as NVLink, NVSwitch, and GPUsWho this book is for This book is for data scientists, machine learning engineers, and ML practitioners in both academia and industry. A fundamental understanding of machine learning concepts and working knowledge of Python programming is assumed. Prior experience implementing ML/DL models with TensorFlow or PyTorch will be beneficial. You'll find this book useful if you are interested in using distributed systems to boost machine learning model training and serving speed.