Financial AI in Practice (MEAP v3) by Taehun Kim (.ePUB)+

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File Size: 19.3 MB

Financial AI in Practice: A playbook for credit, fraud, and investment systems (MEAP v3) by Taehun Kim
Requirements: .ePUB, .PDF reader, 19.3 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. While we demonstrate a particular stack, the principles remain the same if you prefer alternatives-PyTorch instead of Keras, a different orchestrator instead of Airflow, or another LLM provider. We focus on core concepts, ensuring you can adapt to your tools of choice as your projects evolve. For the Builders (Data Scientists & Engineers): If you’re comfortable with Python, you will find a wealth of hands-on, practical guidance. We’ll build three end-to-end applications from scratch, focusing on the real-world code and architecture needed for production.
Genre: Non-Fiction > Tech & Devices

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