Financial AI in Practice (MEAP V2) by Taehun Kim (.ePUB)+
File Size: 17.0 MB
Financial AI in Practice (MEAP V2) by Taehun Kim
Requirements: .ePUB, .PDF reader, 17.0 MB
Overview: Create profitable, regulation-compliant financial applications. Covers everything from model making to moneymaking! Modern finance involves crunching more data that any single human can efficiently and effectively process. Sophisticated machine learning models and applications have dominated the high-end fintech industry for decades. Now that extraordinarily powerful AI technologies are readily available to everyone, you can take advantage of Deep Learning, graph analytics, and large language models (LLMs) to create your own custom finance applications. You’ll build an end-to-end pipeline that assesses credit risk, use supervised, unsupervised, and graph-based models to detect fraud, and combine a quantitative model with LLM-powered news analyses for a hybrid investment strategy. As you build, you’ll master Taehun’s simple-but-powerful 4-Layer Framework, a mental model you can apply to any AI project in finance. For data scientists, product owners, business leaders, product strategists, and financial analysts. If you’re comfortable with Python, you will find a wealth of hands-on, practical guidance.
Genre: Non-Fiction > Tech & Devices
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