Focusing on Bayesian optimization techniques, this book offers a clear and illustrated guide to essential theories and their practical applications. Readers will learn how to effectively tune hyperparameters in machine learning models and explore sample-efficient strategies for global optimization, making it a valuable resource for enhancing model performance.
Dissertationsschrift
Focusing on Nanjing's old south area, this research examines the evolution of plot division mechanisms since 1949 and their effects on urban development. It highlights how the persistence of megaplots has resulted in the loss of historic land subdivisions. To address these challenges, the study advocates for the implementation of innovative plot division strategies aimed at restoring the historical integrity of this urban region.
Technical Analysis, Statistical Testing, and Machine Learning
Focusing on quantitative trading, this book guides readers through the process of building and implementing trading strategies using Python. It covers essential concepts and provides practical examples, addressing topics like data analysis, algorithmic trading, backtesting, risk management, optimization, and machine learning. Each section includes step-by-step implementations, making it accessible for those looking to develop their own trading models from scratch.
Approaches, Challenges and Achievements
Focusing on the transformation of Chinese turnaround schools, this book highlights significant improvements and encourages further discourse on the topic. It offers insights into school improvement through a Chinese cultural lens, enhances the theoretical framework of school change, and broadens the understanding of educational administration and policies in China.