Instance-Based Vs Model-Based Learning | Types of Machine Learning

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The Machine Learning systems which are categorized as instance-based learning are the systems that learn the training examples by heart and then generalize to new instances based on some similarity measure. It is called instance-based because it builds the hypotheses from the training instances. It is also known as memory-based learning or lazy learning. The time complexity of this algorithm depends upon the size of training data. The worst-case time complexity of this algorithm is O (n), where n is the number of training instances.

A system is called model-based when it learns from the data and creates a model, which has some parameters and it predicts the output by using this data trained model.

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⌚Time Stamps⌚

00:00 - Intro
00:50 - Instance vs Model Based Learning
03:00 - Instance based Learning
07:45 - Model based Learning
11:20 - Differences
16:30 - Outro
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@CampusX can you please share the notes of the 100 days ML course,

GouravRPandey
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"because India hai, exam to crack karna hi padega" is the highlighted line of this Video....!!

adityashinde
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Sir apaka explanation, sidha khopari me gus jata hain, Vah guruji vah

Englishwithjaani
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A different pov on teaching ml in this manner❤

JainismWithUnnati
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Very great Explaination of each topics. These tiny topics are often missed on University Courses but they are really important

tehman
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Man your explanation is on point. Excited to get into the maths. I'm hooked, binge watching. Amazing job done.

axh
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00:01 Instance-Based vs Model-Based Learning
02:13 Instance-based learning focuses on individual data points for predictions.
04:26 Instance-Based Learning focuses on finding similarity
06:30 Model-based learning is effective for predicting placement outcomes.
08:35 Instance-Based Vs Model-Based Learning
10:53 Comparison between instance-based and model-based learning
12:54 Model-based learning focuses on creating a model and using it for decision making.
14:48 The difference between instance-based and model-based learning.

DawoodKhan-tdgn
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Course Started : ML
Lecture-01: 14/08/2024
Lecture-02: 14/08/2024
Lecture-03: 14/08/2024
Lecture-04: 14/08/2024
Lecture-05: 14/08/2024
Lecture-06: 15/08/2024

fit_tubes_
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Thanks campusx for simplifying the concepts so beautifully.

mahjabinbintemannan
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I am in for the whole series...great explanation 👍

pankajrawat
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Ram Ram ji 🙏💜🌟
You da best teacher out there. Love you Sir.

lego-xqfh
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As usual, spot on with content and explanation. Thanks alot and now on to the next one!

rohitekka
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Thankyou for clarifying these concepts in very easy

divyanshgupta
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perfect explanation bro no one explain complexities and pros simple they explain algos and they are used for that thats it but u gave confident level bro thanks alot

kameshyuvraj
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I think we also called them as parametric (model based) and non-parametric (instance based).

minhazuddin
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Sir, Thanks a lot for This Amazing Lecture
Lecture - 6 Completed

PrithaMajumder
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Hello Sir,
Your tutorials are very helpful to understand.
Based on some prior knowledge, want to understand: -
Can we call Instance based learning as Discriminative models and Model based learning as Generative models?
Thank you
Taruchit

taruchitgoyal
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omg !! what a lovely explanation...but to my point can i say instance-based learning as a model free learning....

ranjeetkumar
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Thanks so much
This is quite helpful
Excellent simply excellent

jatinnandwani
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Please provide the topics which will be covered in this playlist.

bitrish
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