

3 Types of Machine Learning
Presentation
•
Computers
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7th - 8th Grade
•
Practice Problem
•
Hard
Patsy Williams
Used 8+ times
FREE Resource
14 Slides • 4 Questions
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3 Types of Machine Learning

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Virtual Parameter
Cameras On
100% Engagement
Active Listening
Think & Share
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Today's Agenda
Open notes in Google
What is machine learning?
Blooklet Challenge
Google Classroom
Work Time
4
Learning Objective
SW learn the 3 types and functions of Machine Learning.
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DOL
Given the 3 types of machine learning swbat give an analysis of all 3 functions with 100% accuracy.
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EQ
What is the difference between artificial intelligence and machine learning?
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8
Multiple Choice
What is machine learning?
teaching computers to think like humans
teaching computers to learn from past mistakes
teaching computers to take over humans in the work force
teaching computer to recognize voices
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Multiple Select
Which 3 tasks are aspects of machine learning?
counting
sorting
collecting
speaking
analyzing
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Multiple Select
How is machine learning used to help the medical profession?
determining life spans
prescribing medicine
providing legal assistance
diagnosing some diseases
helping with
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Open Ended
Name one things that you learned from the video.
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Supervised Learning
Supervised learning is one of the most basic types of machine learning. In this type, the machine learning algorithm is trained on labeled data.
In this type, the machine learning algorithm is trained on labeled data.
Supervised machine learning algorithms will continue to improve by discovering new patterns and relationships as it trains itself on new data.
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Unsupervised Learning
Unsupervised machine learning works with unlabeled data. This means that human labor is not required.
Relationships between data points are interpreted by using algorithms with no input required from human beings.
Unsupervised learning algorithms can adapt to the data by changing hidden structures
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Reinforcement Learning
An algorithm that improves upon itself and learns from new situations using a trial-and-error method.
Favorable outputs are encouraged or ‘reinforced’, and non-favorable outputs are discouraged or ‘punished’.
The program is trained to give the best possible solution for the best possible reward.
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Applications of Machine Learning
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Chatbox
Customer service workers have been replaced by chatbots.
Chatbots can analyze customer questions and provide support.
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Online Customization
Machine learning algorithms also help to improve user experience for customer use online.
Apps such as Facebook, Snapchat, Netflix, Google, Amazon.
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3 Types of Machine Learning

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