Machine Learning Use Cases in Finance

Colleagues, the Machine Learning Use Cases in Finance will equip you in the use of machine learning models in financial, banking and insurance contexts. Data science and advanced analytics teams in the financial and insurance community are implementing these models regularly and have found a place for them in their toolbox. Skill-baed training modules include: 1) Introduction and Background, 2) Reminder Machine Learning and Deep Learning, 3) GNN in Finance, 4) ESG Evaluation, 5) Portfolio Design using Reinforcement Learning, and 6) Conclusion. This program presents a review of some of the applications of machine learning and deep learning. We will then illustrate their use in financial applications through concrete examples that we have seen have sparked interest in the industry. Our examples will illustrate how we can add value through ad hoc construction of architectures rather than a simple exercise of replacing classical models with more complex ones, such as multi-layer networks.Learn how Neural network architectures on graphs to integrate new information dimensions in financial markets and bitcoin transactions, Portfolio design using reinforcement learning, and Natural Language Processing and information extraction methods from financial disclosures in the in an ESG and sustainable finance context.

Enroll today (teams & executives are welcome): https://fxo.co/Hkec

Download your free AI-ML-DL and  Finance, Accounting & Banking - Career Transformation Guides.

“Transformative Innovation” book series for your listening-reading pleasure: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle)

Much career success, Lawrence Wilson – Financial Certification Academy (share with your team)