Machine learning.
概要
| 作品: | 79 作品在 78 項出版品 78 種語言 | |
|---|---|---|
書目資訊
Recurrent neural networks for prediction :learning algorithms, architectures, and stability /
by:
(書目-語言資料,印刷品)
Adaptive blind signal and image processing :learning algorithms and applications /
by:
(書目-語言資料,印刷品)
Learning with kernels :support vector machines, regularization, optimization, and beyond /
by:
(書目-語言資料,印刷品)
Machine learning techniques for adaptive multimedia retrieval :technologies, applications, and perspectives /
by:
(書目-語言資料,印刷品)
Machine learning and knowledge discovery for engineering systems health management /
by:
(書目-語言資料,印刷品)
Recurrent neural networks for predictionlearning algorithms, architectures, and stability /
by:
(書目-電子資源)
Learning with kernelssupport vector machines, regularization, optimization, and beyond /
by:
(書目-電子資源)
Exploiting the power of group differences :using patterns to solve data analysis problems /
by:
(書目-語言資料,印刷品)
Reasoning with probabilistic and deterministic graphical models :exact algorithms /
by:
(書目-語言資料,印刷品)
Machine learning with Spark and Python :essential techniques for predictive analytics /
by:
(書目-語言資料,印刷品)
Deep learning illustrated :a visual, interactive guide to artificial intelligence /
by:
(書目-語言資料,印刷品)
Hands-On Machine Learning with ML.NET :getting started with Microsoft ML.NET to implement popular machine learning algorithms in C# /
by:
(書目-語言資料,印刷品)
Deep learning for autonomous vehicle control :algorithms, state-of-the-art, and future prospects /
by:
(書目-語言資料,印刷品)
Unsettled Technology Opportunities for Vehicle Health Management and the Role for Health-Ready Components.
by:
(書目-電子資源)
AI and machine learning for coders :a programmer's guide to artificial intelligence /
by:
(書目-語言資料,印刷品)
Deep learning projects using TensorFlow 2 :neural network development with Python and Keras /
by:
(書目-語言資料,印刷品)
Head and neck tumor segmentation :First Challenge, HECKTOR 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, proceedings /
by:
(書目-語言資料,印刷品)
TensorFlow 2.x in the Colaboratory cloud :an introduction to deep learning on Google's cloud service /
by:
(書目-語言資料,印刷品)
Guide to deep learning basics :logical, historical and philosophical perspectives /
by:
(書目-語言資料,印刷品)
Getting started with Amazon SageMaker Studio :learn to build end-to-end machine learning projects in the SageMaker machine learning IDE /
by:
(書目-語言資料,印刷品)
Adaptive machine learning algorithms with Python :solve data analytics and machine learning problems on edge devices /
by:
(書目-語言資料,印刷品)
Hands-on machine learning with Python :implement neural network solutions with Scikit-learn and PyTorch /
by:
(書目-語言資料,印刷品)
Practical AI for healthcare professionals :machine learning with Numpy, Scikit-learn, and TensorFlow /
by:
(書目-語言資料,印刷品)
The TensorFlow Workshop :a hands-on guide to building deep learning models from scratch using real-world datasets /
by:
(書目-語言資料,印刷品)
Beginning with deep learning using TensorFlow :a beginners guide to TensorFlow and keras for practicing deep learning principles and applications /
by:
(書目-語言資料,印刷品)
Hands-on system design :learn system design, scaling applications, software development design patterns with real use-cases /
by:
(書目-語言資料,印刷品)
Introduction to IoT with machine learning and image processing using Raspberry Pi /
by:
(書目-語言資料,印刷品)
Machine learning for financial risk management with Python :algorithms for modeling risk /
by:
(書目-語言資料,印刷品)
Reproducible data science with Pachyderm :learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0 /
by:
(書目-語言資料,印刷品)
Machine learning for auditors :automating fraud investigations through artificial intelligence /
by:
(書目-語言資料,印刷品)
Combining DataOps, MLOps and DevOps :outperform analytics and software development with expert practices on process optimization and automation /
by:
(書目-語言資料,印刷品)
Distributed machine learning with Python :accelerating model training and serving with distributed systems /
by:
(書目-語言資料,印刷品)
Hardware-aware probabilistic machine learning models :learning, inference and use cases /
by:
(書目-語言資料,印刷品)
更多
較少的
主題