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 BasicsThis chapter explores the fundamentals of machine learning, since deep learning is above everything else, a technique for machine learning. We explore the idea of classification and what it means for...doi:10.1007/978-3-319-73004-2_3Sandro Skansi...
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 Basicsdoi:10.1533/9780857099440.59Igor KononenkoMatja KukarElsevier Ltd
Deep Learning Part1.5 Machine Learning Basics A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experienceE...
The field of statistical learning theory provides some answers. If the training and the test set are collected arbitrarily, there is indeed little we can do. If we are allowed to make some assumptions about how the training and test set are collected, then we can make some progress. ...
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...
Empirical Approach to Learning from Data (Streams): Fast and Interpretable Deep Learning In this talk the author presents in a systematic way the basics of the newly introduced "Empirical Approach to Machine Learning, Fuzzy Sets, and Systems... P Angelov - Artificial Intelligence Applications & In...
Exploring Machine Learning Basicsebook forfree team monthly annual $49.99 five seatsfor your team access toall Manning books, MEAPs, liveVideos, liveProjects, and audiobooks! choose anotherfree productevery time you renew exclusive50% discounton all purchases ...
Chapter 4. Machine Learning Basics 本章我们会涉及tensorflow工作的基础概念,机器学习是tensorflow的主要应用领域。 我们将呈现基本机器学习主题的高级概念以及代码片段,同时会展示如何在tensorflow中使用他们。 4.1 Supervised learning introduction 在本书中,我们关注的是有监督学习的问题。在拥有了输入数据集以后训练推演...