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\nCreate a computer vision system using decision tree algorithms to solve a real-world problem : What is Machine Learning?\n

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\nFrom the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold...\nFrom the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation. We’ll also learn and use Linear and Logistic Regression, Decision Trees and Random Forests models to build and classify data.

Machine Learning: Part 1: What is Machine Learning?\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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8:59
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Grade
Higher Ed
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Subjects
STEM
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Media Type
Instructional Videos
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Source:
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\nPackt - Data\n\n
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Date
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2020
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Language
English
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Audiences
For Teacher Use
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Fine Print: Educational Use
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Concepts

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computer science, data, parameters, time, coding
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computer engineering, compsci, programming, development, machine learning, neural networks, generally speaking, driving car, home listings, postal code, square footage, decision points, deep learning, feature data, training data, correct answers, street signs, mathematical model, street, signs, answers, pretty, model, attributes, people, overtime, works, price, house, image, dive
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Best For: Explaining a topic
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