Identifying Illicit Activities
Machine learning can effectively identify patterns associated with illicit activities on the blockchain, such as ransomware. By analyzing transaction behaviors and properties, data scientists can develop models that flag potential criminal activities. This proactive approach not only enhances crime prevention efforts but also demonstrates the powerful capabilities of blockchain analytics in law enforcement.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 625: Analyzing Blockchain Data and Cryptocurrencies — with Kim Grauer
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