Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python
暫譯: 混合影像與視覺化：結合機器學習與Mathematica - Python

本書的第二版針對計算代數和人工智慧領域的讀者，介紹了黑洞演算法（Black Hole algorithm），這對於優化超參數至關重要，這是一個在機器學習中重要的任務，通常使用隨機全局方法。此外，書中還介紹了費舍爾判別（fisher discriminant），這是一種可以提供物體最佳分離的線性判別方法，以及將時間序列轉換為圖像的技術，從而使得能夠有效地使用卷積神經網絡（convolution neural network）來分類時間序列。

Joseph Awange is a professor of Environmental Geoinformatics at the Department of Land Surveying and Geo-Informatics (LSGI, The Hong Kong Polytechnic University) having previously worked at Curtin University (Australia). His research interests are sensing of environmental changes employing geospatial and AI techniques, hydroclimate, climate variability/change, climate extremes and mathematical geosciences (algebraic & numerical solutions). He obtained his BSc and MSc degrees in Surveying (University of Nairobi, Kenya). Joseph was awarded a merit scholarship by the German Academic Exchange Program (DAAD), which facilitated his obtaining a second MSc degree and PhD in Geodesy at Stuttgart University (Germany) under the supervision of the late Prof Erik W. Grafarend (one of the world's renown geodesists). In 2002-2004, he was awarded the prestigious Japan Society of Promotion of Science (JSPS; Japan) Fellowship to pursue postdoctoral research in Environmental Geodesy at Kyoto University. His research output has been globally recognized through prestigious Awards (i) Alexander von Humboldt (AvH) Fellowships (2008-2011 Ludwig Leichhardt Memorial Fellowship for experienced researchers, 2015 & 2019 AvH support in acknowledgment of his scientific achievements in his specific academic field and in recognition of his contribution towards scientific cooperation with German colleagues), (ii) 2015 JSPS Fellowship, and (iii), Brazil Frontier of Science (Brazil). Joseph who holds a Postgraduate Diploma in Environmental Impact Assessment (EIA) from Murdoch University (Australia) is currently serving as the Acquisition Manager for Springer Nature (world-leading research, educational and professional publisher) in charge of Earth Sciences, Geography, and Environment books. He attained International Editorial role in Springer Earth Science Books and has authored more than 25 scholarly books with the prestigious Springer publisher and more than 250 peer-reviewed high-impact journal publications.

Béla Paláncz is emeritus professor of computer science at the Technical University of Budapest, Hungary. He received his D.Sc. from the Hungarian Academy of Sciences in 1993 and has a background in education and research of mathematical modeling and numeric-symbolic computation as well as machine learning algorithms and experience abroad including at RWTH (Aachen, Germany), Imperial College (London), and Wolfram Research (USA), Research Institute for Symbolic Computation (RISC) Johannes Kepler University ( Linz, Austria) and recently Curtin University, School of Earth and Planetary Sciences (Perth, Australia) and University of Canterbury, Department of Mechanical Engineering (Christchurch, New Zealand). He can be contacted at the Department of Geodesy and Surveying, Faculty of Civil Engineering, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rkp.3., Hungary.

Lajos Völgyesi graduated as a geophysicist from the Faculty of Natural Sciences of Eötvös Loránd University in Budapest. Currently, he is Professor Emeritus at the Department of Geodesy and Surveying of the Faculty of Civil Engineering of the Budapest University of Technology and Economics. He is a member of the Hungarian Academy of Sciences. His main research interests are in the fields of physical and theoretical geodesy, mathematical geosciences and geophysics. He has significant scientific achievements in the fields of time variation of the geoid and the explanation of the physical background of major geoid anomalies, the geophysical foundations of 4-dimensional geodesy and the study of Earth rotation phenomena. He also does researches in astronomical geodesy and, together with his physicist colleagues, has started an important series of experiments to prove the so-called weak equivalence principle by remeasuring the Eötvös experiment. His research results have been published in about 200 papers and numerous international presentations and scientific conferences. He has authored and co-authored several textbooks, including two award of excellence for his textbook Geophysics.

約瑟夫·阿旺吉（Joseph Awange）是香港理工大學土地測量及地理資訊系（LSGI）的環境地理資訊學教授，曾在澳大利亞的科廷大學工作。他的研究興趣包括利用地理空間和人工智慧技術感知環境變化、水文氣候、氣候變異/變化、氣候極端現象以及數學地球科學（代數與數值解法）。他在肯尼亞內羅畢大學獲得測量學的學士和碩士學位。約瑟夫獲得德國學術交流計畫（DAAD）的優秀獎學金，這使他能夠在德國斯圖加特大學獲得第二個碩士學位和博士學位，指導教授為已故的埃里克·W·格拉法倫德（Prof Erik W. Grafarend），他是世界著名的測地學家。2002年至2004年，他獲得日本科學促進會（JSPS；日本）獎學金，進行環境測地學的博士後研究，地點為京都大學。他的研究成果獲得全球認可，獲得多項榮譽獎項，包括（i）亞歷山大·馮·洪堡（AvH）獎學金（2008-2011年路德維希·萊希哈特紀念獎學金，2015年及2019年AvH支持，以表彰他在特定學術領域的科學成就及對德國同事的科學合作貢獻），（ii）2015年JSPS獎學金，以及（iii）巴西科學前沿獎（巴西）。約瑟夫擁有澳大利亞莫道克大學的環境影響評估（EIA）研究生文憑，目前擔任施普林格自然（Springer Nature，全球領先的研究、教育和專業出版商）的採購經理，負責地球科學、地理和環境書籍。他在施普林格地球科學書籍中擔任國際編輯角色，並與施普林格出版社合作撰寫了超過25本學術書籍，以及超過250篇經過同行評審的高影響力期刊文章。

貝拉·帕蘭茨（Béla Paláncz）是匈牙利布達佩斯科技大學的計算機科學名譽教授。他於1993年獲得匈牙利科學院的科學博士學位，擁有數學建模和數值符號計算、機器學習算法的教育和研究背景，並在德國亞琛工業大學（RWTH）、倫敦帝國學院、沃爾夫拉姆研究所（Wolfram Research， 美國）、約翰·開普勒大學符號計算研究所（RISC，奧地利林茲）以及最近的科廷大學地球與行星科學學院（澳大利亞珀斯）和坎特伯雷大學機械工程系（新西蘭基督城）等地有過國外經驗。他可以通過匈牙利布達佩斯科技經濟大學土木工程學院測地學與測量系聯繫，地址為H-1111 Budapest, Múegyetem rkp.3.，匈牙利。

拉約什·沃爾吉耶西（Lajos Völgyesi）畢業於布達佩斯厄爾特大學自然科學院，專業為地球物理學家。目前，他是布達佩斯科技經濟大學土木工程學院測地學與測量系的名譽教授，也是匈牙利科學院的成員。他的主要研究興趣包括物理和理論測地學、數學地球科學和地球物理學。他在地球靜止面時間變化及主要地球靜止面異常的物理背景解釋、四維測地學的地球物理基礎以及地球自轉現象的研究方面有顯著的科學成就。他還從事天文測地學的研究，並與物理學同事一起啟動了一系列重要實驗，以通過重新測量厄爾特沃斯實驗來證明所謂的弱等效原理。他的研究成果已發表在約200篇論文中，並在多次國際會議和科學會議上進行報告。他撰寫和合著了多本教科書，其中包括因其教科書《地球物理學》而獲得的兩項卓越獎。