Cnn 2022 7 No 262
DOWNLOAD
Download Cnn 2022 7 No 262 PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Cnn 2022 7 No 262 book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Cnn 2022 7 No 262
DOWNLOAD
Author : LiveABC編輯群
language : en
Publisher: 希伯崙股份有限公司
Release Date : 2022-06-30
Cnn 2022 7 No 262 written by LiveABC編輯群 and has been published by 希伯崙股份有限公司 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-30 with Foreign Language Study categories.
商業 Twitter Taken Over 馬斯克收購推特 社群媒體生態如何演變？ Elon Musk Purchases Social Media Giant, Raising Concerns 全球首富伊隆．馬斯克大手筆買下推特。馬斯克過去經常批評推特的言論審查制度，他的入主將為社群媒體生態帶來什麼影響呢？ 政治 Western Alliance 芬蘭瑞典申請加入北約 改寫歐洲安全版圖 Finland and Sweden Announce Plans to Join NATO 在外交方面長期採取中立原則的瑞典與芬蘭在五月中提交加入北約的申請，可能為歐洲地緣政治帶來重大改變。 經濟 The Inflation Problem 物價漲不停 通膨成因大解析 The Ins and Outs of the Rising Cost of Living 疫情、戰爭及供應鏈緊縮促使通貨膨脹加劇、物價高漲，CNN記者分析其中癥結及經濟形勢未來可能的走向。 環境 A Scrappy Success 廚餘變黃金 賦予剩食新生命 Uncovering Ways to Cut Down on Food Wastage 全球每年約有13億噸的食物被浪費掉，藉由資源分配和回收再利用，這些本來可能被丟棄的剩食有了新的價值。 體育 Techno Gyms 居家健身新潮流 宅在家也要動起來！ Blending Technology with Fitness for At-Home Workouts 疫情大流行開啟居家健身的風潮，運動用品公司嗅到新商機，開發出互動式健身器材，讓用戶在家也能享有如上健身房的健身體驗。 娛樂 To Boldly Go 星際爭霸戰推出最新影集 勇闖奇異新世界 “Star Trek” Seeks a New Generation of Fans with “Strange New Worlds” 《星際爭霸戰》迷期待的最新影集登場！故事背景設定在最初系列的十年前，主角是企業號的派克艦長。劇中新生代演員分享演出的感想。 科技 Served by Machines 智能機器人進駐飯店 清消、接待一把罩 Robots Are Making Their Mark on the Hospitality Industry 為因應數位轉型，許多餐旅業者開始將送餐、清潔與消毒、接待等勞動性質的工作讓機器人代勞，使工作人員更有餘力提供高品質的服務。 美食 Indulgence and Opulence 從傳統小點到極品火腿 跟著老饕品嚐歐陸美食 Richard Quest Explores the Delights of Dining in Russia 主廚馬納察卡諾夫帶著理查．奎斯特品味東歐傳統小吃，還有聖彼得堡的超人氣歐陸料理餐廳。 保育 Blue Fingers 海中苗圃 讓珊瑚復育看見希望 Coral Gardening Helps to Save Jamaica’s Coral Reefs 珊瑚在海中扮演著不可或缺的角色，在珊瑚園丁的細心照料下，海洋保護區內的珊瑚逐漸恢復生機，連帶也讓更多海洋生物回歸了。 環境 The Dry and Golden State 加州嚴重乾旱 美西面臨缺水危機 Californians Asked to Restrict Water Usage in the Face of Droughts 連年的乾旱使得美國南加州嚴重缺水，當地水務局採取了前所未見的限水措施，甚至限制民眾一周僅有一天可在戶外澆水。 焦點話題 insurance claims 保險理賠 plateau 高原期 monkeypox 猴痘 defamation 誹謗 CNN 全球瞭望 Philippines Elects New President 菲律賓前獨裁者之子當選總統 Abortion Rights Protests in America 美擬推翻墮胎權 國內抗議四起 Giraffe Reborn with Limb Surgery 矯正義肢讓長頸鹿寶寶重獲新生 談天說地話英文 全方位理解CNN Hero Doctor Stops Gunman at Taiwanese Church in LA 加州教堂槍擊案 台裔醫師捨身救人 新聞片語通 take sth. with a grain of salt 對某事持保留態度 CNN主編教你唸 配菜、醬料名稱 單字聯想地圖 餐廳用餐
Deep Learning
DOWNLOAD
Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10
Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.
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.
This Was Cnn
DOWNLOAD
Author : Kent Heckenlively
language : en
Publisher: Simon and Schuster
Release Date : 2023-02-07
This Was Cnn written by Kent Heckenlively and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-07 with Political Science categories.
A CNN insider reveals what he saw behind the scenes at the cable news giant and the investigation that revealed even more shocking secrets. Cary Poarch started working at CNN in the summer of 2017 as a die-hard Bernie Sanders supporter. But on his first location shoot during the Charlottesville riots, he quickly became disillusioned with how the network created the “fine people” hoax. This began a political odyssey as he documented numerous incidents of outright bias, eventually leading him to contact James O’Keefe of Project Veritas. For months, Cary Poarch documented CNN’s rampant political bias for Project Veritas, and saw how the network was dividing the country. When the story was released by Project Veritas, it was seen by millions. This book continues his investigation and uncovers even more shocking information about the behavior of network personnel, CNN’s ties to the Biden White House, CNN’s creation of a terrifying digital warfare capacity, and the possible penetration of CNN by our own intelligence agencies. Cary partnered with two time New York Times bestselling author, Kent Heckenlively, and together they uncovered even more shocking secrets about “the most trusted name in news.
Arithmetic Complexity Of Computations
DOWNLOAD
Author : Shmuel Winograd
language : en
Publisher: SIAM
Release Date : 1980-01-01
Arithmetic Complexity Of Computations written by Shmuel Winograd and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980-01-01 with Mathematics categories.
Focuses on finding the minimum number of arithmetic operations needed to perform the computation and on finding a better algorithm when improvement is possible. The author concentrates on that class of problems concerned with computing a system of bilinear forms. Results that lead to applications in the area of signal processing are emphasized, since (1) even a modest reduction in the execution time of signal processing problems could have practical significance; (2) results in this area are relatively new and are scattered in journal articles; and (3) this emphasis indicates the flavor of complexity of computation.
Machine Learning With Pytorch And Scikit Learn
DOWNLOAD
Author : Sebastian Raschka
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-02-25
Machine Learning With Pytorch And Scikit Learn written by Sebastian Raschka and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-25 with Computers categories.
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Big Intel
DOWNLOAD
Author : J. Michael Waller
language : en
Publisher: Simon and Schuster
Release Date : 2024-01-16
Big Intel written by J. Michael Waller and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-16 with Political Science categories.
Big Intel recounts the dramatic story of the rise and Cold War heroics of the CIA and the American intelligence apparatus followed by its unfortunate slide into Marxist-influenced Deep State dysfunction as BIG INTEL became BAD INTEL. How the Left Subverted the CIA and FBI Once upon a time, the FBI and the CIA fought America’s enemies at home and abroad. Now they are tools of a growing police state, attacking the left’s political enemies and spying on ordinary American citizens—even parents who push back against radical public schools. How did we get here? In this revealing and thoroughly documented book, a former CIA operative traces the origins of Big Intel to a loose network of Marxist academic agitators known as the Frankfurt School. Their ideology appealed to the Ivy League elites populating the CIA, but the subversion of the FBI took longer, impeded for a time by the bureau’s staunchly anti-Communist director, J. Edgar Hoover. Eventually both institutions succumbed, and today Big Intel is controlled by the cultural Marxists. Chronicling the parasitic infiltration of the CIA and FBI, Big Intel shows how normal intelligence functions have given way to political correctness and never-ending “pride” propaganda, trap- ping agents in the “diversity, equity, and inclusion” house of mirrors. Most chilling of all is the emergence of the leftist security state. Big Intel has become Bad Intel. There are hard times ahead, but if Americans remember what freedom once was, we can still defang Big Intel and return our intelligence services to the service of democracy.
Reviews In Gastrointestinal Cancers
DOWNLOAD
Author : Fabrizio Bronte
language : en
Publisher: Frontiers Media SA
Release Date : 2023-08-02
Reviews In Gastrointestinal Cancers written by Fabrizio Bronte and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-02 with Medical categories.
Energy Environment And Geopolitics In Eurasia
DOWNLOAD
Author : Norman A. Graham
language : en
Publisher: Taylor & Francis
Release Date : 2023-12-22
Energy Environment And Geopolitics In Eurasia written by Norman A. Graham and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with Political Science categories.
This book advances our understanding of security and its intricate interactions with geopolitics and the environment in Eurasia. Norman A. Graham and Şuhnaz Yılmaz focus on Eurasia, where the energy-water-food nexus has emerged as a vital aspect of political economy and increasinglyas a decisive factor for human security. As clearly revealed during the Russian invasion of Ukraine, this nexus rests on a precarious balance. Graham and Yilmaz argue that Central Eurasia is currently “Running on Empty” and highlight the key environmental challenges, including water quantity and quality and food security. The authors draw on their extensive fieldwork in countries including Azerbaijan, China, Georgia, Kazakhstan, the Russian Federation, Turkey, and Uzbekistan to assess the interests and impact of pivotal actors and evaluate the competition and complementarities of these actors regarding water, energy, food security, and foreign policy imperatives. They also examine the broader interaction and implications of security at multiple levels by analyzing the local, national, and international factors in light of geopolitical and environmental challenges. Taking a novel and highly interdisciplinary approach, this book will be an important resource for students and scholars of energy and food security, political economy, international conflict and cooperation, and natural resource politics.
Reinforcement Learning Second Edition
DOWNLOAD
Author : Richard S. Sutton
language : en
Publisher: MIT Press
Release Date : 2018-11-13
Reinforcement Learning Second Edition written by Richard S. Sutton and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Computers categories.
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Ant Colony Optimization
DOWNLOAD
Author : Marco Dorigo
language : en
Publisher: MIT Press
Release Date : 2004-06-04
Ant Colony Optimization written by Marco Dorigo and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-04 with Computers categories.
An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications. The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses. The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, an ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises. Ant Colony Optimization will be of interest to academic and industry researchers, graduate students, and practitioners who wish to learn how to implement ACO algorithms.