Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective
暫譯: 使用 Python 的隨機金融：從概率視角設計金融模型

Avishek Nag has been an analytics practitioner for several years now, specializing in statistical methods, machine learning, NLP & Quantitative Finance. He has experience designing end-to-end Machine Learning systems and driving Data Science/ML initiatives from inception to production in multiple organizations (Cisco, VMware, Mobile Iron, etc.). A few years of experience in the commodity trading domain inspired him to write this book. He has also authored other books on machine learning & survival analysis, respectively. His Data science & ML-related blogs can be found on Medium (@avisheknag17).

Besides his work, he is also a passionate artist who loves to explore architectural drawings through pencil and ink. Samples of his artwork can be found on Instagram(/avisheknag17), Artquid.com(artquid.com/avishekarts), and many other art platforms.

Avishek Nag 在分析領域已經有幾年的實踐經驗，專注於統計方法、機器學習、自然語言處理 (NLP) 和量化金融。他擁有設計端到端機器學習系統的經驗，並在多個組織（如 Cisco、VMware、Mobile Iron 等）推動數據科學/機器學習計劃從構想到生產的全過程。幾年在商品交易領域的經驗激發了他撰寫這本書的靈感。他還分別撰寫過其他有關機器學習和生存分析的書籍。他的數據科學和機器學習相關部落格可以在 Medium 上找到 (@avisheknag17)。

除了工作之外，他還是一位熱情的藝術家，喜愛通過鉛筆和墨水探索建築繪圖。他的藝術作品樣本可以在 Instagram (/avisheknag17)、Artquid.com (artquid.com/avishekarts) 以及許多其他藝術平台上找到。