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他的在线课程《Marchine Learning》和《Deep Learning》是人工智能领域的经典教程,影响了无数人工智能学子。 作为一名大忙人,2016年年底,当在NIPS 2016做主题为《使用深度学习开发人工智能应用的基本要点》的tutorial演讲后,吴恩达首次对外宣布要写一本书,引起大家的期待。 然而,吴恩达实在是太忙了,预计2017年暑假完工的...
《Machine Learning Yearning》是吴恩达历时两年,根据自己多年实践经验整理出来的一本机器学习、深度学习实践经验宝典。 吴恩达老师讲的机器学习课程比较浅显易懂,很适合数学基础不是很好的人自学,扫码下方的二维码,并在后台回复”MLY“【建议复制】 程序...
Algebird - Abstract Algebra for Scala. xerial - Data management utilities for Scala. [Deprecated] PredictionIO - PredictionIO, a machine learning server for software developers and data engineers. BIDMat - CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis...
计算机科学家周志华(Zhi-Hua Zhou)教授的著作,是一本系统而全面的机器学习教材。以下是这本书的主要内容概述: 导论和基础知识: 介绍了机器学习的基本概念、范式、应用领域和发展历史。涉及了监督学习、无监督学习、强化学习等不同类型的学习。 模型评估与选择: 介绍了评估机器学习模型性能的方法,包括交叉验证、性能度...
•Supervised learning: The computer is presented with example inputs and their desired outputs, given by a “teacher”, and the goal is to learn a general rule that maps inputs to outputs. The training process continues until the model achieves the desired level of accuracy on the training...
《Machine Learning Yearning》是吴恩达历时两年,根据自己多年实践经验整理出来的一本机器学习、深度学习实践经验宝典。 吴恩达老师讲的机器学习课程比较浅显易懂,很适合数学基础不是很好的人自…
(learning)/训练(training):从数据中学得模型 训练数据 (training data ):训练过程中用到的数据 训练样本 (training sample ):训练用到的每个样本 训练集 (training set):训练样本组成的集合 假设(hypothesis):学习模型对应了关于数据的某种潜在规则 真相 (group-true ):真正存在的潜在规律 学习器 (learner):模型...