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Download Chap 5-1 - Machine Learning Basics - Jinwook Kim by ['aniruthan venkatavaradhan'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Chap 5-1 - Machine Learning Basics - Jinwook Kim
This document provides an overview of key concepts from the book "Deep Learning" including: - The book's organization into parts on neural networks, deep learning, and deep learning applications. - A chapter summary on machine learning basics such as learning algorithms, overfitting, hyperparameters, estimators, and supervised/unsupervised learning algorithms. - Descriptions of common machine learning tasks like classification, regression, and applications in domains like computer vision. - Explanations of important concepts like performance measures, experience, generalization, model capacity, regularization, and the difference between hyperparameters and parameters.
Detailed Information
| Author: | ['aniruthan venkatavaradhan'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 39 |
| Language: | English |
| Format: | |
| Price: | FREE |
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