Book Bits: Six New Books Reviewed

● Cybersecurity in the COVID-19 Pandemic
Kenneth Okereafor
Summary via publisher (CRC Press)
As the 2020 global lockdown became a universal strategy to control the COVID-19 pandemic, social distancing triggered a massive reliance on online and cyberspace alternatives and switched the world to the digital economy. Despite their effectiveness for remote work and online interactions, cyberspace alternatives ignited several Cybersecurity challenges. Malicious hackers capitalized on global anxiety and launched cyberattacks against unsuspecting victims. Internet fraudsters exploited human and system vulnerabilities and impacted data integrity, privacy, and digital behavior.

● The Caesars Palace Coup: How a Billionaire Brawl Over the Famous Casino Exposed the Power and Greed of Wall Street
Max Frumes and Sujeet Indap
Summary via Fortune
Financial journalists Max Frumes and Sujeet Indap serve up an investigative deep-dive into an old-fashioned casino heist, which includes a $31 billion leveraged buyout and a string of financial engineering transactions by Apollo Global Management and TPG Capital—all in the midst of the post–Great Recession slump, pitting private equity firms and distressed-debt hedge funds against each other in an ultimate poker match.

● Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models
Przemyslaw Biecek and Tomasz Burzykowski
Summary via publisher (Chapman and Hall/CRC)
Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model’s performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.

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Disclosures: None.

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