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This project advances the existing theoretical work on the CNN effect, a claim that innovations in the speed and quality of technology create conditions in which the media acts as an independent factor with significant influence. It provides a novel interpretation of the factors that drove Western policy towards military intervention in this area.

Chronicles the Persian Gulf War and events leading up to it and includes images from CNN files

***Your #1 CNN Practice Test Resource***CNN Exam Practice Questions are the simplest way to prepare for the CNN test. Practice is an essential part of preparing for a test and improving a test taker's chance of success. The best way to practice taking a test is by going through lots of CNN practice questions.If someone has never taken a CNN practice test, then they are unprepared for the types of questions and answer choices that they will encounter on the official test. There is a tremendous advantage to someone taking the test who is already familiar with the questions and answer choices.Another advantage of taking CNN practice tests is that you can assess your performance and decide whether you need to study and practice more or if you're already prepared enough to achieve success on your test day. If you do well on CNN practice tests, then you know you're prepared. If you struggle on the practice test, then you know you still have more work to do.Our CNN Exam Practice Questions give you the opportunity to test your knowledge on a set of questions. You could know everything that is going to be covered on the test but still perform poorly if you have not had a chance to practice. Repetition is a key to success and using CNN practice test questions allows you to reinforce your strengths and improve your weaknesses.Detailed answer explanations are also included for each question. It may sound obvious, but you have to know which questions you missed (and more importantly why you missed them) to be able to avoid making the same mistakes again when you take the real test. That's why our CNN Exam Practice Questions include answer keys with detailed answer explanations. These in-depth answer explanations will allow you to better understand any CNN questions that were difficult for you or that you needed more help to understand.

Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. 1.2

This project advances the existing theoretical work on the CNN effect, a claim that innovations in the speed and quality of technology create conditions in which the media acts as an independent factor with significant influence. It provides a novel interpretation of the factors that drove Western policy towards military intervention in this area.

***Your #1 CNN Practice Test Resource***CNN Exam Practice Questions are the simplest way to prepare for the CNN test. Practice is an essential part of preparing for a test and improving a test taker's chance of success. The best way to practice taking a test is by going through lots of CNN practice questions.If someone has never taken a CNN practice test, then they are unprepared for the types of questions and answer choices that they will encounter on the official test. There is a tremendous advantage to someone taking the test who is already familiar with the questions and answer choices.Another advantage of taking CNN practice tests is that you can assess your performance and decide whether you need to study and practice more or if you're already prepared enough to achieve success on your test day. If you do well on CNN practice tests, then you know you're prepared. If you struggle on the practice test, then you know you still have more work to do.Our CNN Exam Practice Questions give you the opportunity to test your knowledge on a set of questions. You could know everything that is going to be covered on the test but still perform poorly if you have not had a chance to practice. Repetition is a key to success and using CNN practice test questions allows you to reinforce your strengths and improve your weaknesses.Detailed answer explanations are also included for each question. It may sound obvious, but you have to know which questions you missed (and more importantly why you missed them) to be able to avoid making the same mistakes again when you take the real test. That's why our CNN Exam Practice Questions include answer keys with detailed answer explanations. These in-depth answer explanations will allow you to better understand any CNN questions that were difficult for you or that you needed more help to understand.

Chronicles the Persian Gulf War and events leading up to it and includes images from CNN files

***Includes Practice Test Questions*** CNN Exam Secrets helps you ace the Certified Nephrology Nurse Exam, without weeks and months of endless studying. Our comprehensive CNN Exam Secrets study guide is written by our exam experts, who painstakingly researched every topic and concept that you need to know to ace your test. Our original research reveals specific weaknesses that you can exploit to increase your exam score more than you've ever imagined. CNN Exam Secrets includes: The 5 Secret Keys to CNN Exam Success: Time is Your Greatest Enemy, Guessing is Not Guesswork, Practice Smarter, Not Harder, Prepare, Don't Procrastinate, Test Yourself; A comprehensive General Strategy review including: Make Predictions, Answer the Question, Benchmark, Valid Information, Avoid Fact Traps, Milk the Question, The Trap of Familiarity, Eliminate Answers, Tough Questions, Brainstorm, Read Carefully, Face Value, Prefixes, Hedge Phrases, Switchback Words, New Information, Time Management, Contextual C

Playing Games at CNN: How a Softball Team Captured the Spirit of a News Network 1.02

Book is in NEW condition. 1.36

Book is in NEW condition. 0.77

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.19

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 2.2

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.16

Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. 1.36

Buy with confidence! Book is in new, never-used condition 1.19

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model.After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads.This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using PythonFollow a deep learning project from conception to production using TensorFlowUse NumPy with Kivy to build cross-platform data science applicationsWho This Book Is ForData scientists, machine learning and deep learning engineers, software developers.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 0.77

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model.After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads.This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using PythonFollow a deep learning project from conception to production using TensorFlowUse NumPy with Kivy to build cross-platform data science applicationsWho This Book Is ForData scientists, machine learning and deep learning engineers, software developers.

The television editor of The Hollywood Reporter shares his insights into the rise of Fox News, illuminating the bold personalities and back-room deals that made Rupert Murdoch's media gamble pay off. 40,000 first printing.