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www.appsflyer.com | ||
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ssc.io
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| | | | | When designing data science (DS) pipelines, end-users can get overwhelmed by the large and growing set of available data preprocessing and modeling techniques. Intelligent discovery assistants (IDAs) and automated machine learning (AutoML) solutions aim to facilitate end-users by (semi-)automating the process. However, they are expensive to compute and yield limited applicability for a wide range of real-world use cases and application domains. This is due to (a) their need to execute thousands of pipelines to get the optimal one, (b) their limited support of DS tasks, e.g., supervised classification or regression only, and a small, static set of available data preprocessing and ML algorithms; and (c) their restriction to quantifiable evaluation processes an... | |
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www.cybereason.com
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| | | | | In this high-stakes game of cat and mouse, the use of artificial intelligence (AI) has emerged as a powerful tool in the fight against cyber threats. | |
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www.prove.com
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| | | | | Artificial intelligence-based fraud, also known as AI-based fraud, refers to fraudulent activities or scams that are facilitated or enhanced by the use of artificial intelligence (AI) technologies, which is the science of simulating human intelligence and problem-solving skills in machines. | |
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fieldeffect.com
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| | | Learn more about cybersecurity frameworks, including three key reasons why compliance is important, and several key cybersecurity frameworks to know about. | ||
