Reactive Publishing, 2024. — 342 p. — ISBN, ASIN, ISSN: B0CRR19Z5D.
Building Blocks of Financial Machine LearningThe Evolution of Quantitative Finance
Key Financial Concepts for Data Scientists
Statistical Foundations
Essentials of Machine Learning Algorithms
Data Management in Finance
Emerging Innovations: Machine Learning Tools and Technologies in FinanceComputational Environments for Financial Analysis
Data Exploration and Visualization Tools
Feature Selection and Model Building
Machine Learning Frameworks and Libraries
Model Deployment and Monitoring
Exploring Deep Learning: Applications in Financial Analysis.
Neural Networks and Finance
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs) and LSTMs
Reinforcement Learning for Trading
Generative Models and Anomaly Detection
Predictive Analytics: Time Series Analysis and Forecasting in Finance.
Fundamental Time Series Concepts
Advanced Time Series Methods
Machine Learning for Time Series Data
Forecasting for Financial Decision Making
Evaluation and Validation of Forecasting Models
Additional Resources
Glossary of Terms