Introduction to Machine Learning w...8.9 Database System Concepts9.2 Learning From Data9.4 Applied Predictive Modeling9.4 The Self-Service Data Roadmap Pattern Recognition and Machine L...9.5 Making Databases Work 我要写书评 Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd ...
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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 ...
Deploy machine learning models to work on mobile and embedded devices Written by a seasoned software engineer with several years of industry experience, this book will teach you the basics of machine learning (ML) and show you how to use C++ libraries, along with helping you create supervised a...
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key … - Selection from Hands-On Machine Learning
ImplementsupervisedandunsupervisedmachinelearningalgorithmsusingC++librariessuchasPyTorchC++API,Caffe2,Shogun,Shark-ML,mlpack,anddlibwiththehelpofreal-worldexamplesanddatasetsKeyFeatures.Becomefamiliarwithdataprocessing,performancemeasuring,andmodelselectionusingvariousC++libraries.Implementpracticalmachinelearninganddeep...
Hands-On Machine Learning with C#是Matt R. Cole创作的计算机网络类小说,QQ阅读提供Hands-On Machine Learning with C#部分章节免费在线阅读,此外还提供Hands-On Machine Learning with C#全本在线阅读。
时隔一年,这本超赞的机器学习实用指南终于正式出版了第二版:《Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition》,中文译为《Scikit-Learn、Keras 与 TensorFlow 机器学习实用指南(第二版)》,并且在美国亚马逊上开售了,可惜国内还没有开售,影印版和中文翻译版还没出来。请看封面:...
Section 1: Overview ofMachineLearning Chapter 1: Introduction to Machine Learning withC++ Chapter 2: Data Processing Chapter 3: Measuring Performance and Selecting Models Section 2: Machine LearningAlgorithms Chapter 4: Clustering Chapter 5: Anomaly Detection ...
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. ...