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Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python de Abhishek Kumar Pandey,Pramod Singh Rathore,Dr S Balamurugan

Descripción - Reseña del editor Get Involved with Machine learning Key Features Machine learning in MATLAB using basic concepts and algorithms. Algorithms of machine learning in a simple language using MATLAB code. Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data.Machine learning workflow for health monitoring.The neural network domain and implementation in MATLAB with explicit explanation of code and results.How predictive model can be improved using MATLAB?MATLAB code for an algorithm implementation, rather than for mathematical formula.Machine learning workflow for health monitoring. DescriptionMachine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although the real-time application of machine learning is endless, however, the basic concepts and algorithms are discussed using MATLAB language so that not only graduation students but also researchers are benefitted from it. What you will learn Pre-requisites to machine learning Finding natural patterns in data Building classification methods Data pre-processing in Python Building regression modelsCreating neural networksDeep learning Who This Book is ForThe book is basically meant for graduate and research students who find the algorithms of machine learning difficult to implement. We have touched all basic algorithms of machine learning in detail with a practical approach. Primarily, beginners will find this book more effective as the chapters are subdivided in a manner that they find the building and implementation of algorithms in MATLAB interesting and easy at the same time. Table of Contents An Introduction to Machine Learning Finding Natural Patterns in Data Building Classification Methods Data Pre – processing in PythonBuilding Regression Models Creating Neural Networks Introduction to Deep Learning About the AuthorAbhishek Kumar Pandey is pursuing his Doctorate in computer science and done M.Tech in Computer Sci. & Engineering. He has been working as an Assistant professor of Computer Science at Aryabhatt Engineering College and Research center, Ajmer and also visiting faculty in Government University MDS Ajmer.Pramod Singh Rathore is pursuing his doctorate in Computer Science & engineering and done M. Tech. He has been working as the Assistant professor of Computer Science at Aryabhatt Engineering College and Research centre, Ajmer and visiting faculty in Government University MDS Ajmer. Dr S. Balamurugan is the Head of Research and Development, Quants IS & CS, India. Formely, he was the Director of Research and Development at Mindnotix Technologies, India. He has authored/co-authored 33 books and has 200 publications in various international journals and conferences to his credit.

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Detalles del Libro

Name: Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python
Autor: Abhishek Kumar Pandey,Pramod Singh Rathore,Dr S Balamurugan
Categoria: Libros,Libros universitarios y de estudios superiores,Ciencias informáticas
Tamaño del archivo: 8 MB
Tipos de archivo: PDF Document
Idioma: Español
Archivos de estado: AVAILABLE

Lee un libro Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python de Abhishek Kumar Pandey,Pramod Singh Rathore,Dr S Balamurugan Ebooks, PDF, ePub

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Descargar Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play de David Foster libros ebooks, Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play Pdf descargar 📘 Lee Ahora 📥 Download Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play de David Foster Descripción - Reseña del editor Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to s...

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