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Types of Machine Learning|ML02|Labeled Data vs Unlabeled|ITFO

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#TypesOfMachineLearning #ML02 #LabeledDataVSUnlabeled
In this video lecture we will learn,
1. what are the main types of machine learning
2. what is difference between labeled data and unlabeled data
3. what is supervised learning
4. what is unsupervised learning
5. what is reinforcement learning
Introduction - Machine Learning Tutorial
Unlabeled Data
Consists on samples of natural / human created object.
It is provided by Environment.
Obtain easily e.g; images, tweet etc
Labeled Data
A data with meaningful "tag," "label," or "class“. It is provided from supervisor.
for example photo is Bus or Car.
Types Of Machine Learning
Supervised Learning
In supervised learning, the target is to infer a function or mapping from training data that is labeled. The training data consist of input vector X and output vector Y of labels or tags.
Un-Supervised Learning
It aim at using observations gathered from the interaction with the environment to take actions that would maximize the reward or minimize the risk.
it Involved an agent.
Reinforcement Learning
Learn from Observations from environmentt
Next Lecture….
ML vs AI vs DL
Questions?
in comments section.
#WhatisMachineLearning #IntroductionOfMachineLearning #BasicsOfMachineLearning #ITFO
In this video lecture we will learn,
1. what are the main types of machine learning
2. what is difference between labeled data and unlabeled data
3. what is supervised learning
4. what is unsupervised learning
5. what is reinforcement learning
Introduction - Machine Learning Tutorial
Unlabeled Data
Consists on samples of natural / human created object.
It is provided by Environment.
Obtain easily e.g; images, tweet etc
Labeled Data
A data with meaningful "tag," "label," or "class“. It is provided from supervisor.
for example photo is Bus or Car.
Types Of Machine Learning
Supervised Learning
In supervised learning, the target is to infer a function or mapping from training data that is labeled. The training data consist of input vector X and output vector Y of labels or tags.
Un-Supervised Learning
It aim at using observations gathered from the interaction with the environment to take actions that would maximize the reward or minimize the risk.
it Involved an agent.
Reinforcement Learning
Learn from Observations from environmentt
Next Lecture….
ML vs AI vs DL
Questions?
in comments section.
#WhatisMachineLearning #IntroductionOfMachineLearning #BasicsOfMachineLearning #ITFO