101
Nexus: Una breve historia de las redes de información desde la Edad de Piedra hasta la IA
Yuval Noah Harari
102
机器学习理论导引
周志华; 王魏; 高尉; 张利军
103
Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow
Hannes Hapke; Catherine Nelson
104
智慧共生ChatGPT AIGC生产力工具实践
王树义
105
权力与进步
戴伦·艾塞默鲁
106
大规模语言模型：从理论到实践
张奇; 桂韬; 郑锐; ⻩萱菁
107
Transformers for Machine Learning: A Deep Dive
Uday Kamath; Kenneth L. Graham; Wael Emara
108
图解人工智能
多田智史
109
Practical MLOps: Operationalizing Machine Learning Models
Noah Gift; Alfredo Deza
110
Build a Large Language Model (From Scratch) (MEAP)
Sebastian Raschka
111
Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk
Abdullah Karasan
112
Long Short-Term Memory Networks With Python: Develop Sequence Prediction Models With Deep Learning
Jason Brownlee
113
scikit-learn Cookbook
Julian Avila; Trent Hauck
114
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
Ankur A. Patel
115
AI 3.0 = Artificial Intelligence: A Guide for Thinking Humans
[美] 梅拉妮 · 米歇尔（Melanie Mitchell) 著; 王飞跃; 李玉珂; 王晓; 张慧 译
116
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Third Early Release)
Chip Huyen
117
GENERATIVE AI AND PROMPT BASIS RULES FOR BEGINNERS: How Generative Artificial Intelligences Like ChatGPT Work and The Basic Prompt Rules for Using Them
Michael Gordon Cohen
118
Building LLM Apps: Create Intelligent Apps and Agents with Large Language Models
Valentina Alto
119
AI世界的底層邏輯與生存法則
程世嘉
120
Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python
Jason Brownlee
121
Generative AI: The Insights You Need From Harvard Business Review
Review; Harvard Business; Ethan Mollick; David De Cremer; Tsedal Neeley; Prabhakant Sinha
122
人工智能算法（卷3）：深度学习和神经网络
[美] 杰弗瑞•希顿（Jeffery Heaton）
123
玩转ChatGPT：秒变AI提问和追问高手
唐振伟
124
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable Al Outputs
James Phoenix; Mike Taylor
125
深度强化学习：基础、研究与应用
董豪 等
126
What Is ChatGPT Doing ... And Why Does It Work?
Stephen Wolfram
127
[EARLY RELEASE] Quick Start Guide to Large Language Models: Strategies and Best Practices for using ChatGPT and Other LLMs
Sinan Ozdemir
128
深度学习
伊恩·古德费洛 (Ian Goodfellow; 亚伦·库维尔 (Aaron Courville); 约书亚·本吉奥 (Yoshua Bengio)
129
模式识别与机器学习
Christopher M. Bishop，马春鹏
130
ChatGPT for Affiliate Marketing
Jordan P. Smith
131
My Journey into AI: The Story Behind the Man Who Helped Launch 5 A.I. Companies Worth $25 Billion
Lee; Dr. Kai-Fu
132
生成式AI：人工智能的未来
（美）詹姆斯·斯金纳
133
Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More
Olivier Caelen; Marie-Alice Blete
134
The ChatGPT Millionaire: Making Money Online has never been this EASY
Neil Dagger
135
机器学习公式详解
谢文睿 & 秦州
136
Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More
Olivier Caelen; Marie-Alice Blete
137
Probabilistic Machine Learning: Advanced Topics - Draft
Kevin P. Murphy
138
天才与算法：人脑与AI的数学思维（AI人工智能算法书籍，数学思维理解算法，引领人们认知创造力的本质）
马库斯·杜·索托伊（Marcus du Sautoy） [Sautoy）; 马库斯·杜·索托伊（Marcus du]
139
超越AI的思考架構
庫基耶 (Kenneth Cukier); 麥爾荀伯格 (Viktor Mayer-Schönberger); 德菲爾利科德 (Francis de Véricourt)
140
AI科學家李飛飛的視界之旅 = The Worlds I See
李飛飛 (Fei-Fei Li) 著; 廖月娟; 林俊宏 譯
141
从零构建知识图谱：技术、方法与案例
邵浩、张凯、李方圆、张云柯、戴锡强
142
Machine Learning Fundamentals: A Concise Introduction
Hui Jiang
143
深度学习与图像识别：原理与实践 (智能系统与技术丛书)
魏溪含 & 涂铭 & 张修鹏 [魏溪含 & 涂铭 & 张修鹏]
144
Practical Recommender Systems
Kim Falk
145
Hands-On Generative AI with Transformers and Diffusion Models (First Early Release)
Pedro Cuenca; Apolinário Passos; Omar Sanseviero; Jonathan Whitaker
146
Machine Learning For Absolute Beginners: A Plain English Introduction
Oliver Theobald
147
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Chip Huyen
148
Introduction to Machine Learning
Ethem Alpaydin
149
Understanding Deep Learning
Simon J.D. Prince
150
Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG
Louis-François Bouchard
