Counterterrorism and Cybersecurity: Total Information Awareness

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From 9/11 to Charlie Hebdo along with Sony-pocalypse and DARPA's $2 million Cyber Grand Challenge, this book examines counterterrorism and cyber security history, strategies and technologies from a thought-provoking approach that encompasses personal experiences, investigative journalism, historical and current events, ideas from thought leaders and the make-believe of Hollywood such as 24, Homeland and The Americans. President Barack Obama also said in his 2015 State of the Union address, "We are making sure our government integrates intelligence to combat cyber threats, just as we have done to combat terrorism.

In this new edition, there are seven completely new chapters, including three new contributed chapters by healthcare chief information security officer Ray Balut and Jean C. Stanford, DEF CON speaker Philip Polstra and security engineer and Black Hat speaker Darren Manners, as well as new commentaries by communications expert Andy Marken and DEF CON speaker Emily Peed.
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Blockchain Technology Explained: The Simplified Guide On Blockchain Technology (2018) Blockchain Wallet, Blockchain Explained (Blockchain Technology Explained, … Ripple XRP, Dash, Litecoin, Bitcoin)

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Are you READY to dive into the world of the blockchain technology & cryptocurrencies?!

What is blockchain? How does block actually work? How does blockchain technology affect our future and what can it be used for?
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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

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Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power.
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Web Data Mining (Data-Centric Systems and Applications)

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Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured nature of the Web data and its heterogeneity. It has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered both in breadth and in depth. His book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice, addressing seminal research ideas, as well as examining the technology from a practical point of view. It is suitable for students, researchers and practitioners interested in Web mining both as a learning text and a reference book. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.

Web Scraping with Python

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Successfully scrape data from any website with the power of Python

About This BookA hands-on guide to web scraping with real-life problems and solutionsTechniques to download and extract data from complex websitesCreate a number of different web scrapers to extract information
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