51
重构：改善既有代码的设计（第2版）（异步图书）
马丁·福勒(Martin Fowler) [马丁·福勒(Martin Fowler)]
52
信息论基础
Thomas M. Cover; Joy A. Thomas
53
程序员的自我修养：链接、装载与库
俞甲子; 石凡; 潘爱民
54
Python游戏编程快速上手 第4版
Al Sweigart
55
Think Like a UX Researcher: How to Observe Users, Influence Design, and Shape Business Strategy
David Travis; Philip Hodgson
56
失控：机器、社会与经济的新生物学
[美].凯文·凯利
57
2021新书Python程序设计 人工智能案例实践 Python编程人工智能基本描述统计集中趋势和分散度量模拟深度学习自然语言处理书籍
保罗 戴特尔
58
人工智能：现代方法（第4版）（精装版）
Stuart Russell
59
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition
Ian H. Witten; Eibe Frank; Mark A. Hall; Christopher J. Pal
60
Problems on algorithms
Ian Parberry
61
Machine Learning with Spark™ and Python®: Essential Techniques for Predictive Analytics
Michael Bowles
62
深度学习入门之PyTorch
廖星宇
63
Lean AI: How Innovative Startups Use Artificial Intelligence to Grow
Lomit Patel
64
Natural Language Processing with Python and spaCy: A Practical Introduction
Yuli Vasiliev
65
Python Workout: 50 Essential Exercises
Reuven M. Lerner
66
Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions
Frances Buontempo
67
深入浅出数据分析
迈克尔·米尔顿(Michael Milton) [迈克尔·米尔顿(Michael Milton)]
68
Ethical Hacking With Kali Linux: Learn Fast How To Hack Like A Pro
Hugo Hoffman
69
计算机学科基础知识
计算机学科基础知识
70
程序员修炼之道：通向务实的最高境界（第2版）
(美）David Thomas（大卫·托马斯），Andrew Hunt（安德鲁·亨特）
71
Grokking Algorithms: An illustrated guide for programmers and other curious people
Aditya Bhargava
72
Python数据科学手册
Jake VanderPlas
73
程序是怎样跑起来的
矢泽久雄
74
生命3.0：人工智能时代，人类的进化与重生
[美] 迈克斯·泰格马克/Max Tegmark; 汪婕舒【译】
75
The AI Advantage: How to Put the Artificial Intelligence Revolution to Work
Thomas H. Davenport
76
Operator Handbook: Red Team + OSINT + Blue Team Reference
Joshua Picolet
77
Storytelling in Design: Defining, Designing, and Selling Multidevice Products
Anna Dahlström
78
设计模式: 可复用面向对象软件的基础
[美] Erich Gamma; Richard Helm; Ralph Johnson; John Vlissides
79
ggplot2: Elegant Graphics For Data Analysis (Second Edition)
Hadley Wickham; Carson Sievert
80
Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms
Jeff Heaton
81
O'Reilly精品图书系列共21册（《Javascript权威指南》、《机器学习：实用案例解析》、《编写可读代码的艺术》、《算法精解》等）
（美）Drew Conway & John Myles White、（美）Wes McKinney 、（美）拉塞尔（Russell; M.A.）、（美）茨韦特瓦（Tsvetovat; M.）等 [Conway; （美）Drew & John Myles White、（美）Wes McKinney 、（美）拉塞尔（Russell; M.A.）、（美）茨韦特瓦（Tsvetovat; M.）等]
82
具体数学：计算机科学基础（第2版）
[美]葛立恒，[美]高德纳，[美]帕塔许尼克 张明尧，张凡
83
Grokking Algorithms: An illustrated guide for programmers and other curious people
Aditya Y. Bhargava
84
Playing Smart: On Games, Intelligence, and Artificial Intelligence
Julian Togelius
85
计算机组成原理-第6版.pdf
白中英、戴志涛
86
Optimization for Machine Learning (Neural Information Processing series)
Suvrit Sra; Sebastian Nowozin; Stephen J. Wright
87
数据思维：让大脑更清醒（耶鲁哈佛世行日产顶级专家的数据分析方法，让数据说实话，数据分析比你想象的更简单。套装4册。）
中室牧子 & 津川友介 & 加里·史密斯 & 柏木吉基 & 矢野和男 [中室牧子 & 津川友介 & 加里·史密斯 & 柏木吉基 & 矢野和男]
88
Practical Deep Learning for Cloud and Mobile
Anirudh Koul; Siddha Ganju; Meher Kasam
89
Principles of Artificial Neural Networks
Daniel Graupe
90
Practical Data Science with R
Nina Zumel; John Mount
91
Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide
Daniel Voigt Godoy
92
Advanced R
Hadley Wickham.
93
Probability for Machine Learning - Discover How To Harness Uncertainty With Python
Jason Brownlee
94
Practical Computer Vision: Extract insightful information from images using TensorFlow, Keras, and OpenCV
Abhinav Dadhich
95
大数据时代:生活,工作与思维的大变革 (湛庐文化•财富汇)
维克托•迈尔-舍恩伯格 & 肯尼思•库克耶
96
Chat GPT for Dummies: A Quick Introduction to Prompt Engineering!
Wasi
97
Practical Natural Language Processing: A Comprehensive Guide to Building Real-world Nlp Systems
Sowmya Vajjala; Bodhisattwa Majumder; Anuj Gupta; Harshit Surana
98
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Aurélien Géron
99
Make Your Own Neural Network
Tariq Rashid
100
Hands-On Start to Wolfram Mathematica: And Programming with the Wolfram Language
Cliff Hastings; Kelvin Mischo; Michael Morrison
