吴恩达《嵌入模型:从架构到实现|Embedding Models: from Architecture to Implementation》中英字幕(豆包翻译) 吴恩达《使用私人数据进行大语言模型的联邦微调|Federated Fine-tuning of LLMs with Private Data》中英字幕(豆包翻译 吴恩达《联邦学习|Federated Learning》中英字幕(豆包翻译) 吴恩达《大语言模型预训练|Pretrai...
Function,然后使用Least squares regression(最小二乘法)更新 然后Linear Regression 对于比如图片预测年龄效果十分糟糕。 1.2 CNN 传统的方法是通过一些特征提取算法提取Feature vector,然后通过Linear Model 预测。 使用CNN可以不断提取高级别的Feature 然后通过可训练的分类器进行分类。 CNN更适合图像数据。 1.3 CNN‘s ...
Machine Learning is a subfield of computer science, and you’ll find it defined in many ways, but the simplest is probably still Arthur Samuel’s our definition from 1959:“Machine Learning gives computers the ability to learn without being explicitly programmed”. Machine Learning explores how pr...
Machine learning has changed many industries, including healthcare. The most fundamental concepts in machine learning include (1) supervised learning that has been used to develop risk prediction models for target diseases and (2) unsupervised learning that has been applied to discover unknown disease...
机器学习(ML)已经成为我们日常生活中的一个常见元素,也是许多科学和工程领域的标准工具。为了优化ML的使用,理解其基本原理是必要的。 这本书接近ML作为科学原理的计算实现。这一原则包括不断调整给定数据生成现…
Machine Learning Basicsdoi:10.1533/9780857099440.59Igor KononenkoMatja KukarElsevier Ltd
58-minute Machine Learning course: Machine learning encompasses many different ideas, programming languages, frameworks, and approaches to the subj...
Machine learningdoes exactly what it says on the tin. It is a method by which a computer program can“automatically learn and improve from experience without being explicitly programmed.” Now, what does that mean? Let’s break down a few concepts. ...
Machine Learning: The Basics Here, we talk about the (machine) learning from empirical data (i.e., examples, samples, measurements, records, patterns or observations) by applying suppo... A Jung - 《Machine Learning》 被引量: 0发表: 2022年 The basics of data, big data, and machine lear...
AI研习社>>巨人贝叶斯>>Basics of Machine Learning 巨人贝叶斯 发表于专栏 ·巨人贝叶斯 2019年03月12日 任何机器学习算法由如下4部分组成: 2. 参数模型和非参数模型 3. 学习方式 监督学习(supervised learning) 无监督学习(unsupevised learning) 强化学习 (reinforcement learning) ...