Smart Moves, Strong Returns

MKT Data – Global Stock Exchanges

Python-Based AI Models for Time Series Forecasting-LSTM Networks (Python: Stock Market data Analysis using AI Models and t…


Python-Based AI Models for Time Series Forecasting-LSTM Networks (Python: Stock Market data Analysis using AI Models and t...

Price: $30.30

Book Overview: “Python-Based AI Models for Time Series Forecasting – LSTM Networks” offers a thorough exploration of Python-driven AI models, empowering readers to master time series forecasting. This all-encompassing resource delves into the intriguing realm of Long Short-Term Memory (LSTM) networks, a cutting-edge tool revolutionizing financial market analysis. The book is meticulously crafted for data scientists, financial analysts, and AI enthusiasts, linking theoretical knowledge with practical application, and offering valuable insights to thrive in this dynamic field.

Key Features:

• Comprehensive Unveiling of LSTM Networks: Gain an in-depth understanding of LSTM networks, a specialized type of recurrent neural networks (RNNs) designed to handle long-term dependencies in sequential data.

• Real-World Financial Market Applications: Discover how to implement LSTM networks to tangible financial data, including stock prices and economic indicators, to make precise and actionable predictions.

• Extensive Data Preparation Techniques: Learn the art of data gathering, cleaning, and feature engineering to ensure your models are built on a robust foundation.

• Step-by-Step Model Construction and Training: Follow comprehensive instructions to build, train, and fine-tune LSTM models utilizing popular Python libraries such as TensorFlow and Keras.

• Robust Evaluation and Optimization Strategies: Uncover methods for assessing model performance and optimizing hyperparameters to enhance predictive accuracy and reliability.

• Exploration of Advanced Topics and Future Directions: Delve into the forefront of advancements like attention mechanisms, ensemble methods, and transfer learning to expand the horizons of time series forecasting.

Why This Book?

“Python-Based AI Models for Time Series Forecasting – LSTM Networks” is more than just a technical guide; it’s a pathway to innovation and excellence in financial forecasting. Regardless of whether you’re an experienced professional or a curious novice, this book equips you with the knowledge and skills to navigate and excel in the rapidly advancing field of AI-driven financial analysis.

Author’s Expertise

With an extensive understanding of AI, machine learning, and financial




Posted

in

by

Tags: