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About Aws ML PDF
This document provides an overview and introduction to artificial intelligence, machine learning, and deep learning. It defines machine learning as using algorithms to find patterns in data to make predictions without being explicitly programmed. Deep learning is based on neural networks modeled after the human brain. The machine learning lifecycle includes collecting data, processing it, splitting it into training and testing sets, training a model on the training set, testing it on the testing set, and deploying the model. Different types of machine learning include supervised learning (with labeled examples), unsupervised learning (without labels), and reinforcement learning (using rewards).
Detailed Information
Author: | ['Rajat Shrinet'] |
---|---|
Publication Year: | 2020 |
Pages: | 74 |
Language: | English |
Format: | |
Price: | FREE |
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