打醬油的汗牛馬

機器學習的數學基礎：AI、深度學習打底必讀(  Tokeigaku ga saikyo no gakumon de aru,西內啟)

數學教你不犯錯(上)(下)( HOW NOT TO BE WRONG:The Power of Mathematical Thinking, Jordan Ellenberg)

海洋污染(Marine Pollution,Judith.S.Weis)＋核能(Nuclear Energy, Charles D.Ferguson) +過度捕撈(Overfishing,Ray Hilborn &  Ulrike Hilborn )

白話機器學習(Grokking Machine Learning ,Luis G. Serrano)

如果這樣，會怎樣？︰胡思亂想的搞怪趣問 正經認真的科學妙答(What If?Serious Scientific Answers to Absurd Questions,Randall Munroe)

時間旅行簡史(Time Travel: A History,James Gleick)

趕往火星: 紅色星球定居計畫(The Case for Mars: The Plan to Settle the Red Planet and Why We Must, Robert Zubrin & Richard Wagner)

阿波羅是如何飛到月球的( How Apollo Flew to the Moon,W. David Woods)

理解航天:航天學入門(Understanding Space - An Introduction to Astronautics,Jerry Jon Sellers & William J. Astore & Robert B. Giffen & Wiley J. Larson)

形狀：資訊、生物、策略、民主和所有事物背後隱藏的幾何學(Shape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else,Jordan Ellenberg)

黑洞簡史：從奇異點到重力波，愛因斯坦到霍金，清晰解析困擾物理界300年的神秘天體(Black Hole: How An Idea Abandoned by Newtonians, Hated by Einstein, And Gambled on by Hawking Became Loved,Marcia Bartusiak)

深度學習與圍棋(Deep Learning and the Game of Go, Max Pumperla & Kevin Ferguson)+深度學習(Deep Learning with Python,François Chollet)

太空全書:蒼穹之上丈量宇宙(Space Atlas: Mapping the Universe and Beyond,James Trefil)

預知宇宙紀事(The Whole Shebang: A State-of-the-Universes Report ,Timothy Ferris)

Deep Learning｜用Python進行深度學習的基礎理論實作(Deep Learning from Scratch,Saito kouki)

一次搞懂量子通訊(貓,愛因斯坦和密碼學:我也能看懂的量子通信)(神們自己)

白話演算法！培養程式設計的邏輯思考(Grokking Algorithms：An illustrated guide for programmers and other curious people,Aditya Y. Bhargava)+演算法圖鑑(アルゴリズム図鑑：絵で見てわかる 26のアルゴリズム, 石田保輝 / 宮崎修一)+大話資料結構(程杰)

AI｜機器學習圖解和深度學習的技術與原理(株式会社アイデミー、山口達輝、松田洋之)

深度學習的數學(ディープラーニングがわかる数学入門,涌井良信&涌井貞美)

因果革命:人工智慧的大未來(The Book of Why： The New Science of Cause and Effect,Judea Pearl)