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Pattern Recognition and Machine L...9.5 Python Machine Learning8.6 百面机器学习8.6 Architecting for Scale, 2nd Edition Prediction, Learning, and Games8.5 我要写书评 Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition的书评 ···(全部 13 条) 热门只看...
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3/e)豆瓣评分:0.0 简介:Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about th
ImplementsupervisedandunsupervisedmachinelearningalgorithmsusingC++librariessuchasPyTorchC++API,Caffe2,Shogun,Shark-ML,mlpack,anddlibwiththehelpofreal-worldexamplesanddatasetsKeyFeatures.Becomefamiliarwithdataprocessing,performancemeasuring,andmodelselectionusingvariousC++libraries.Implementpracticalmachinelearninganddeep...
Become familiar with data processing, performance measuring, and model selection using various C++ libraries Implement practical machine learning and deep learning... (展开全部) 作者简介· ··· Kirill Kolodiazhnyi was born and live in Kharkiv, Ukraine. In 2004 he graduated from the Kharkiv...
Machine Learning Project Checklist 1. Frame the problem and look at the big picture. 2. Get the data. 3. Explore the data to gain insights. 4. Prepare the data to better expose the underlying data patterns to Machine Learning algorithms. ...
Section 1: Overview of Machine Learning Introduction to Machine Learning with C++ Data Processing Measuring Performance and Selecting Models Section 2: Machine Learning Algorithms Clustering Anomaly Detection Dimensionality Reduction Classification Recommender Systems Ensemble Learning Section 3: Advanced Examples ...
一 机器学习概览 机器学习的广义概念是:机器学习是让计算机具有学习的能力,无需进行明确编程. 机器学习的工程性概念是:计算机程序利用经验E学习任务T,性能是P,如果针对任务T的性能P随着经验E不断增长,则为机器学习. 使用机器学习挖掘大量数据,发现不显著的规律,称为数据挖掘. ...
5、深度学习Tensorflow实战经典教材-《Hands-On Machine Learning with Scikit-Learn and TensorFlow》第一版中英文版,第二版最新版 豆瓣评分9.2的Tensorflow、深度学习实战必读书籍,入门教程里面比较好的一本,偏实战,github配套代码。对于打算从机器学习或该领域的爱好者开始的任何人来说,这无疑是最畅销的书之一。要求...
1.Machine Learning概念: 提到机器学习,很多人会想到机器人管家、终结者等一些不着边际,高大上的事物。实际上,机器学习在很多领域已经存在多年,例如:光学字符识别(OCR)。第一个机器学习应用是垃圾邮件过滤器,随后出现了数百个机器学习程序。本文介绍机器学习的一些重要概念(每位数据科学家都应该清楚):有监督与无监督...