1、基础术语与概念
AI (Artificial Intelligence):人工智能
Machine Learning (ML):机器学习
Deep Learning (DL):深度学习
Neural Network:神经网络
Algorithm:算法
Data Mining:数据挖掘
Natural Language Processing (NLP):自然语言处理
Computer Vision:计算机视觉
Robotics:机器人技术
Big Data:大数据
4、常见英文句式与论文用语
Research Context
Recent advances in AI have demonstrated..、
This paper proposes a novel framework for..、
Methodology
The model is trained on a dataset of..、
We finetuned the parameters using..、
Results
The accuracy achieved was 98% on the test set、
Our approach outperforms baseline models by 15%、
5、学习资源推荐
在线课程
Coursera: [Deep Learning Specialization](https://www.coursera.org/specializations/deeplearning)(Andrew Ng)
edX: [AI for Everyone](https://www.edx.org/course/aiforeveryone)(非技术背景友好)
书籍
*Artificial Intelligence: A Modern Approach*(经典教材)
*Deep Learning* by Ian Goodfellow(技术向)
论文平台
[arXiv.org](https://arxiv.org/)(最新AI论文预印本)
[Papers With Code](https://paperswithcode.com/)(论文+代码)
技术文档
TensorFlow/PyTorch官方文档(学习API和术语)