榜单
服务器优惠
AI论文
-
1.2 What Is Machine Learning?
1.2 What Is Machine Learning? 1.2 What Is Machine Learning? Machine learning is a set of methods that computers use to make and improve predictions or behaviors based on data. ... -
Chapter 11: Continue Learning
Continue Learning General Topics Testing TypeScript TypeScript in the Wild TypeScript and Node Converting Plain JS to TypeScript Advanced Topics The Grand Summary Contin... -
Anomaly Detection with Machine Learning
Anomaly Detection with Machine Learning Most Popular Anomaly Detection with Machine Learning For Free Trial and Platinum subscription deployments, Machine Learning functio... -
深度学习(Deep Learning)
Deeplearning Algorithms tutorial 深度学习(Deep Learning) Deeplearning Algorithms tutorial 谷歌的人工智能位于全球前列，在图像识别、语音识别、无人驾驶等技术上都已经落地。而百度实质意义上扛起了国内的人工智能的大旗，覆盖无人驾驶、智能助手、图像识别等许多层面。苹果业已开始... -
Deep Learning for NLP with Pytorch
在深度学习和 NLP 中使用 Pytorch 在深度学习和 NLP 中使用 Pytorch 译者 bruce1408 校对者：FontTian 作者 : Robert Guthrie 本文带您进入pytorch框架进行深度学习编程的核心思想。Pytorch的很多概念(比如计算图抽象和自动求导)并非它所独有的,和其他深度学习框架相关。... -
1. Supervised learning
1. Supervised learning 1. Supervised learning 1.1. Linear Models 1.1.1. Ordinary Least Squares 1.1.2. Ridge regression and classification 1.1.3. Lasso 1.1.4. Multi-task La... -
8.1 The Future of Machine Learning
8.1 The Future of Machine Learning 8.1 The Future of Machine Learning Without machine learning there can be no interpretable machine learning. Therefore we have to guess where ... -
Chapter 2: Parameter Learning
Chapter 2: Parameter Learning Chapter 2: Parameter Learning Gradient Descent is used for minimizing the cost function and it is not only used in regression but also in other d... -
2.2. Manifold learning
2.2. Manifold learning 2.2.1. Introduction 2.2.2. Isomap 2.2.2.1. Complexity 2.2.3. Locally Linear Embedding 2.2.3.1. Complexity 2.2.4. Modified Locally Linear Embedding 2.2.4... -
Distributed Machine Learning At The Edge
CrateDB How-To Guides CrateDB How-To Guides CrateDB is a distributed SQL database that makes it simple to store and analyze massive amounts of machine data in real-time. Note ...