Page Count382 Pages
About the e-Book
MACHINE LEARNING with NEURAL NETWORKS using MATLAB pdf
Machine Learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data.
MATLAB has the tool Neural Network Toolbox that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, dynamic system modeling and control and most machine learning techniques. The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image classification and feature learning tasks. To speed up training of large data sets, you can distribute computations and data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox.
The more important features are the following:
•Deep learning, including convolutional neural networks and autoencoders
•Parallel computing and GPU support for accelerating training (with Parallel Computing Toolbox)
•Supervised learning algorithms, including multilayer, radial basis, learning vector quantization (LVQ), time-delay, nonlinear autoregressive (NARX), and recurrent neural network (RNN)
•Unsupervised learning algorithms, including self-organizing maps and competitive layers
•Apps for data-fitting, pattern recognition, and clustering
•Preprocessing, postprocessing, and network visualization for improving training efficiency and assessing network performance
•Simulink® blocks for building and evaluating neural networks and for control systems applications
Preview MACHINE LEARNING with NEURAL NETWORKS using MATLAB Pdf
Download MACHINE LEARNING with NEURAL NETWORKS using MATLAB 1st Edition Pdf
This site comply with DMCA digital copyright. We do not store files not owned by us, or without the permission of the owner. We also do not have links that lead to sites DMCA copyright infringement.
If You feel that this book is belong to you and you want to unpublish it, Please Contact us .
Fortran for Scientists & Engineers
PREDICTIVE ANALYTICS with NEURAL NETWORKS using MATLAB