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Targeted

Author : Brittany Kaiser
Publisher : HarperCollins
Page : 435 pages
File Size : 33,51 MB
Release : 2019-10-22
Category : Political Science
ISBN : 0062965808

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In this explosive memoir, a political consultant and technology whistleblower reveals the disturbing truth about the multi-billion-dollar data industry, revealing to the public how companies are getting richer using our personal information and exposing how Cambridge Analytica exploited weaknesses in privacy laws to help elect Donald Trump—and how this could easily happen again in the 2020 presidential election. When Brittany Kaiser joined Cambridge Analytica—the UK-based political consulting firm funded by conservative billionaire and Donald Trump patron Robert Mercer—she was an idealistic young professional working on her fourth degree in human rights law and international relations. A veteran of Barack Obama’s 2008 campaign, Kaiser’s goal was to utilize data for humanitarian purposes, most notably to prevent genocide and human rights abuses. But her experience inside Cambridge Analytica opened her eyes to the tremendous risks that this unregulated industry poses to privacy and democracy. Targeted is Kaiser’s eyewitness chronicle of the dramatic and disturbing story of the rise and fall of Cambridge Analytica. She reveals to the public how Facebook’s lax policies and lack of sufficient national laws allowed voters to be manipulated in both Britain and the United States, where personal data was weaponized to spread fake news and racist messaging during the Brexit vote and the 2016 election. But the damage isn’t done Kaiser warns; the 2020 election can be compromised as well if we continue to do nothing. In the aftermath of the U.S. election, as she became aware of the horrifying reality of what Cambridge Analytica had done in support of Donald Trump, Kaiser made the difficult choice to expose the truth. Risking her career, relationships, and personal safety, she told authorities about the data industry’s unethical business practices, eventually testifying before Parliament about the company’s Brexit efforts and helping Special Counsel Robert Mueller’s investigation into Russian interference in the 2016 election, alongside at least 10 other international investigations. Packed with never-before-publicly-told stories and insights, Targeted goes inside the secretive meetings with Trump campaign personnel and details the promises Cambridge Analytica made to win. Throughout, Kaiser makes the case for regulation, arguing that legal oversight of the data industry is not only justifiable but essential to ensuring the long-term safety of our democracy. Targeted includes 20-30 photos.

Targeted Learning

Author : Mark J. van der Laan
Publisher : Springer Science & Business Media
Page : 628 pages
File Size : 26,79 MB
Release : 2011-06-17
Category : Mathematics
ISBN : 1441997822

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The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjective choices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the target parameter representing the scientific question of interest. This book is aimed at both statisticians and applied researchers interested in causal inference and general effect estimation for observational and experimental data. Part I is an accessible introduction to super learning and the targeted maximum likelihood estimator, including related concepts necessary to understand and apply these methods. Parts II-IX handle complex data structures and topics applied researchers will immediately recognize from their own research, including time-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, and genomic studies.

Targeted Cyber Attacks

Author : Aditya Sood
Publisher : Syngress
Page : 159 pages
File Size : 15,4 MB
Release : 2014-04-18
Category : Computers
ISBN : 0128006196

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Cyber-crime increasingly impacts both the online and offline world, and targeted attacks play a significant role in disrupting services in both. Targeted attacks are those that are aimed at a particular individual, group, or type of site or service. Unlike worms and viruses that usually attack indiscriminately, targeted attacks involve intelligence-gathering and planning to a degree that drastically changes its profile. Individuals, corporations, and even governments are facing new threats from targeted attacks. Targeted Cyber Attacks examines real-world examples of directed attacks and provides insight into what techniques and resources are used to stage these attacks so that you can counter them more effectively. A well-structured introduction into the world of targeted cyber-attacks Includes analysis of real-world attacks Written by cyber-security researchers and experts

Targeted

Author : Stephen Hunter
Publisher : Simon and Schuster
Page : 384 pages
File Size : 46,75 MB
Release : 2022-01-18
Category : Fiction
ISBN : 1982169796

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"After being accused of reckless endangerment and forced to answer to the U.S. Congress, master sniper Bob Lee Swagger must protect political hostages in a once-in-a-lifetime standoff"--

Targeted

Author : Kendra Elliot
Publisher : Montlake Romance
Page : 0 pages
File Size : 30,21 MB
Release : 2016
Category : Murder
ISBN : 9781503935044

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On his quiet fishing trip, Detective Mason Callahan finds the body of his boss, Denny Schefte, near their remote Oregon cabin. The FBI assigns the case to Special Agent Ava McLane, Mason's fiancae, when they learn of the mask left at the scene. The FBI realizes that they are hunting a serial killer that targets police officers.

Targeted Radionuclide Therapy

Author : Tod W. Speer
Publisher : Lippincott Williams & Wilkins
Page : 564 pages
File Size : 45,2 MB
Release : 2012-03-28
Category : Medical
ISBN : 1451153260

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Radioimmunotherapy, also known as systemic targeted radiation therapy, uses antibodies, antibody fragments, or compounds as carriers to guide radiation to the targets. It is a topic rapidly increasing in importance and success in treatment of cancer patients. This book represents a comprehensive amalgamation of the radiation physics, chemistry, radiobiology, tumor models, and clinical data for targeted radionuclide therapy. It outlines the current challenges and provides a glimpse at future directions. With significant advances in cell biology and molecular engineering, many targeting constructs are now available that will safely deliver these highly cytotoxic radionuclides in a targeted fashion. A companion website includes the full text and an image bank.

The Brain-Targeted Teaching Model for 21st-Century Schools

Author : Mariale M. Hardiman
Publisher : Corwin Press
Page : 257 pages
File Size : 41,54 MB
Release : 2012-02-15
Category : Education
ISBN : 1412991986

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Compatible with other professional development programs, this model shows how to apply relevant research from educational and cognitive neuroscience to classroom settings through a pedagogical framework. The model's six components are: 1) Establish the emotional connection to learning; 2) Develop the physical learning environment; 3) Design the learning experience; 4) Teach for the mastery of content, skills, and concepts; 5) Teach for the extension and application of knowledge; 6) Evaluate learning. --Book cover.

Targeted Sanctions

Author : Thomas J. Biersteker
Publisher : Cambridge University Press
Page : 423 pages
File Size : 17,66 MB
Release : 2016-03-17
Category : Political Science
ISBN : 1107134218

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Systematically analyzes the impacts and the effectiveness of UN targeted sanctions over the past quarter century.

A Beginner's Guide to Targeted Cancer Treatments

Author : Elaine Vickers
Publisher : John Wiley & Sons
Page : 359 pages
File Size : 50,60 MB
Release : 2018-05-08
Category : Medical
ISBN : 1119126835

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Highly Commended in the category of Oncology at the British Medical Association Awards 2019 The accessible guide to the principles behind new, more targeted drug treatments for cancer Written for anyone who encounters cancer patients, cancer data or cancer terminology, but have no more than a passing knowledge of cell biology. A Beginner's Guide to Targeted Cancer Treatments provides an understanding of how cancer works and the many new treatments available. Using over 100 original illustrations, this accessible handbook covers the biology and mechanisms behind a huge range of targeted drug treatments, including many new immunotherapies. Dr Vickers translates a complex and often overwhelming topic into something digestible and easily understood. She also explains what cancer is, how it behaves and how our understanding of cancer has changed in recent years. Each chapter takes the reader through how new cancer drugs work and their benefits and limitations. With the help of this book, readers will be able to better understand more complex, in-depth articles in journals and books and develop their knowledge. This vital resource: Offers the latest insights into cancer biology Provides a broad understanding of how targeted cancer treatments work Describes many of the new immunotherapy approaches to cancer treatment, such as checkpoint inhibitors and CAR-modified T cells Helps readers feel confident discussing treatment options with colleagues and patients Provides an overview of which treatments are relevant to each of the most common solid tumours and haematological cancers, and the rationale behind them Demystifies the jargon – terms such as the EMT, cancer stem cells, monoclonal antibodies, kinase inhibitors, angiogenesis inhibitors etc. Explains the resistance mechanisms to many new treatments, including issues such as the way cancer cells diversify and evolve and the complex environment in which they live

Targeted Learning in Data Science

Author : Mark J. van der Laan
Publisher : Springer
Page : 655 pages
File Size : 29,77 MB
Release : 2018-03-28
Category : Mathematics
ISBN : 3319653040

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This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators. These targeted machine learning algorithms estimate quantities of interest while still providing valid inference. Targeted learning methods within data science area critical component for solving scientific problems in the modern age. The techniques can answer complex questions including optimal rules for assigning treatment based on longitudinal data with time-dependent confounding, as well as other estimands in dependent data structures, such as networks. Included in Targeted Learning in Data Science are demonstrations with soft ware packages and real data sets that present a case that targeted learning is crucial for the next generation of statisticians and data scientists. Th is book is a sequel to the first textbook on machine learning for causal inference, Targeted Learning, published in 2011. Mark van der Laan, PhD, is Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at UC Berkeley. His research interests include statistical methods in genomics, survival analysis, censored data, machine learning, semiparametric models, causal inference, and targeted learning. Dr. van der Laan received the 2004 Mortimer Spiegelman Award, the 2005 Van Dantzig Award, the 2005 COPSS Snedecor Award, the 2005 COPSS Presidential Award, and has graduated over 40 PhD students in biostatistics and statistics. Sherri Rose, PhD, is Associate Professor of Health Care Policy (Biostatistics) at Harvard Medical School. Her work is centered on developing and integrating innovative statistical approaches to advance human health. Dr. Rose’s methodological research focuses on nonparametric machine learning for causal inference and prediction. She co-leads the Health Policy Data Science Lab and currently serves as an associate editor for the Journal of the American Statistical Association and Biostatistics.