目录
What is Artificial Intelligence (AI)?什么是人工智能 (AI)?
Artificial Intelligence + Gradient人工智能+梯度
AI Chips for Training and Inference用于训练和推理的 AI 芯片
Artificial General Intelligence (AGI)通用人工智能 (AGI)
AUC (Area under the ROC Curve)AUC (ROC 曲线下面积)
Automated Machine Learning (AutoML)自动化机器学习 (AutoML)
CI/CD for Machine Learning 用于机器学习的 CI/CD
Comparison of ML Frameworks ML 框架的比较
Convolutional Neural Network (CNN)卷积神经网络
Datasets and Machine Learning 数据集和机器学习
Data Science vs Machine Learning vs Deep Learning数据科学、机器学习与深度学习
Distributed Training (TensorFlow, MPI, & Horovod)分布式训练(TensorFlow,MPI和Horovod)
Generative Adversarial Network (GAN)生成对抗网络 (GAN)
Epochs, Batch Size, & Iterations纪元、批量大小和迭代
Features, Feature Engineering, & Feature Stores特征、特征工程和特征存储
Hyperparameter Optimization 超参数优化
Supervised, Unsupervised, & Reinforcement Learning监督学习、无监督学习和强化学习
Whether you're looking to explore new concepts or brush up on your terminology, this wiki offers up-to-date information on key topics in data science, machine learning, and deep learning.
无论您是想探索新概念还是复习术语,此 Wiki 都提供有关数据科学、机器学习和深度学习中关键主题的最新信息。
Not sure where to start? Check out our definition of MLOps to discover a modern approach to model training and deployment.
不确定从哪里开始?查看我们对 MLOps 的定义,了解模型训练和部署的现代方法。