Applied Machine Learning for Spreading Financial Statements
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 22M | 1.61 GB
Genre: eLearning | Language: English
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 22M | 1.61 GB
Genre: eLearning | Language: English
Counterparty financial statements, particularly for small and medium enterprises can be difficult to handle. Financial analysts need to be able to distill out relevant line items in order to calculate their credit exposure to a counterparty for lending purposes. The solution solves a labor intensive, expert driven inefficient process and frees up the analysts to focus on their high value add operations. This involves combining Optical Character Recognition using pre-trained language neural networks, with context sensitive semantic matching. We will go over the developed ML pipleline and architecture.
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