Machine Learning Video Tutorial

FIND S Algorithm | Finding A Maximally Specific Hypothesis | Solved Example - 2 by Mahesh Huddar

Numerical Example 1 - https://www.youtube.com/watch?v=O6vwN74aSGY
https://www.vtupulse.com/machine-learning/find-s-algorithm-maximally-specific-hypothesis/

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT


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3. Find S Algorithm Solved Numerical Example to find Maximally Specific Hypothesis by Mahesh Huddar

In this video, I will discuss how to apply the Find S Concept learning algorithm to find the maximally specific hypothesis.

Numerical Example 1 - https://www.youtube.com/watch?v=O6vwN74aSGY
https://www.vtupulse.com/machine-learning/find-s-algorithm-maximally-specific-hypothesis/

Solved Example 2 - https://www.youtube.com/watch?v=SD6MQLC2DdQ
https://www.vtupulse.com/machine-learning/find-s-algorithm-maximally-specific-hypothesis/

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FIND S Algorithm | Unanswered Questions by Mahesh Huddar

https://www.vtupulse.com/machine-learning/find-s-algorithm-unanswered-questions/

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

Consistent Hypothesis, Version Space and List Then Eliminate Algorithm by Mahesh Huddar

https://www.vtupulse.com/machine-learning/version-space-and-list-then-eliminate-algorithm/

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT


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Candidate Elimination Algorithm Solved Example - 1 Machine Learning by Mahesh Huddar

Candidate Elimination Algorithm Solved Example - 1:

Web: https://www.vtupulse.com/machine-learning/candidate-elimination-algorithm-solved-example-1/
Video: https://www.youtube.com/watch?v=O2wYwFOMQ24


Candidate Elimination Algorithm Solved Example - 2:

Web: https://www.vtupulse.com/machine-learning/candidate-elimination-algorithm-solved-example-2/
Video:https://www.youtube.com/watch?v=VMoPY9Wimi4

Candidate Elimination Algorithm Solved Example - 3:

Web: https://www.vtupulse.com/machine-learning/candidate-elimination-algorithm-solved-example-3/
Video: https://www.youtube.com/watch?v=kGaR2PQfqlk

4. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=8Cud5fmnvJQ

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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Candidate Elimination Algorithm Solved Example - 2 Machine Learning by Mahesh Huddar

Candidate Elimination Algorithm Solved Example - 1:

Web: https://www.vtupulse.com/machine-learning/candidate-elimination-algorithm-solved-example-1/
Video: https://www.youtube.com/watch?v=O2wYwFOMQ24


Candidate Elimination Algorithm Solved Example - 2:

Web: https://www.vtupulse.com/machine-learning/candidate-elimination-algorithm-solved-example-2/
Video:https://www.youtube.com/watch?v=VMoPY9Wimi4

Candidate Elimination Algorithm Solved Example - 3:

Web: https://www.vtupulse.com/machine-learning/candidate-elimination-algorithm-solved-example-3/
Video: https://www.youtube.com/watch?v=kGaR2PQfqlk

4. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=8Cud5fmnvJQ


Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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Candidate Elimination Algorithm Solved Example - 3 Machine Learning by Mahesh Huddar

Candidate Elimination Algorithm Solved Example - 1:

Web: https://www.vtupulse.com/machine-learning/candidate-elimination-algorithm-solved-example-1/

Video: https://www.youtube.com/watch?v=O2wYwFOMQ24

Candidate Elimination Algorithm Solved Example - 2:

Web: https://www.vtupulse.com/machine-learning/candidate-elimination-algorithm-solved-example-2/

Video:https://www.youtube.com/watch?v=VMoPY9Wimi4

Candidate Elimination Algorithm Solved Example - 3:

Web: https://www.vtupulse.com/machine-learning/candidate-elimination-algorithm-solved-example-3/

Video: https://www.youtube.com/watch?v=kGaR2PQfqlk

4. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=8Cud5fmnvJQ


Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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4. Candidate Elimination Algorithm Solved Numerical Example Malignant Tumors MRI Images Mahesh Huddar

Consider the given training examples which find the malignant tumors from MRI Scan Images. Show the specific and generic boundaries of the version space after applying the candidate elimination algorithm.

Note: Malignant is +ve (positive) and Benign is - ve(Negative)

Solved Examples:
1. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=kGaR2PQfqlk
2. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=VMoPY9Wimi4
3. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=O2wYwFOMQ24
4. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=8Cud5fmnvJQ

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5. Candidate Elimination Algorithm Solved Numerical Example to find Specific and Generic Hypothesis by Mahesh Huddar

Consider the given training examples. Show the specific and generic boundaries of the version space after applying the candidate elimination algorithm.

Solved Examples:
1. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=kGaR2PQfqlk
2. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=VMoPY9Wimi4
3. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=O2wYwFOMQ24
4. Candidate Elimination Algorithm Solved Example: https://www.youtube.com/watch?v=8Cud5fmnvJQ

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How to build a Decision Tree for Boolean Function | Machine Learning by Mahesh Huddar

Decision Tree for Boolean Function - 1: https://www.youtube.com/watch?v=fs0wsU2sSPQ
Decision Tree for Boolean Function - 2: https://www.youtube.com/watch?v=gn85J4U4pbw


Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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2. How to build a decision Tree for Boolean Function | Machine Learning by Mahesh Huddar mp4

Decision Tree for Boolean Function - 1: https://www.youtube.com/watch?v=fs0wsU2sSPQ
Decision Tree for Boolean Function - 2: https://www.youtube.com/watch?v=gn85J4U4pbw

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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How to find the Entropy Given Probabilities decision Tree Learning Machine Learning by Mahesh Huddar

In this video we will understand, how to find the entropy given the four probabilities p1=0.1, p2=0.2, p3=0.3, and p4=0.4 in the decision tree.

Web Notes: https://www.vtupulse.com/machine-learning/how-to-find-the-entropy-decision-tree-learning/

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The following concepts are discussed:
______________________________
What is Entropy?
How to Find the Entropy in decision tree learning?
How to calculate Entropy?

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How to find Entropy, Information Gain, Gini Index, Splitting Attribute, Decision Tree, Machine Learning, Data Mining by Mahesh Huddar

Consider the training examples given in the table for binary classification,
1. What is the entropy of the whole collection of training examples.
2. What is the information gain of the attributes a1 and a2 with respect to the training examples.
3. Compute the Gini Index of the attributes a1 and a2.
4. Which is the best splitting attribute between a1 and a2.
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How to find Entropy, Information Gain, Gain in terms of Gini Index, Splitting Attribute, Decision Tree, Machine Learning, Data Mining by Mahesh Huddar

Consider the training examples given in the table for binary classification,
1. Find the information gain when splitting on A and B. Which attribute the decision tree induction algorithm chooses.
2. Calculate the gain in Gini Index when splitting on A and B. Which attribute the decision tree induction algorithm chooses.

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1. Decision Tree – ID3 Algorithm Solved Numerical Example by Mahesh Huddar

Decision Tree ID3 Algorithm Solved Example - 1: https://www.youtube.com/watch?v=gn85J4U4pbw

Decision Tree ID3 Algorithm Solved Example - 2: https://www.youtube.com/watch?v=JO2wiZif2OM

Decision Tree ID3 Algorithm Solved Example - 3: https://www.youtube.com/watch?v=2A8AGfxs0D8


Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT


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2 Decision Tree – ID3 Algorithm Solved Numerical Example by Mahesh Huddar

Decision Tree ID3 Algorithm Solved Example - 1: https://www.youtube.com/watch?v=gn85J4U4pbw

Decision Tree ID3 Algorithm Solved Example - 2: https://www.youtube.com/watch?v=JO2wiZif2OM

Decision Tree ID3 Algorithm Solved Example - 3: https://www.youtube.com/watch?v=2A8AGfxs0D8


Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT


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Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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Appropriate Problems for Decision Tree Learning Machine Learning Big Data Analytics by Mahesh Huddar

In this video, we have discussed what the appropriate problems can be solved using a decision tree learning algorithm

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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How to find the Entropy and Information Gain in Decision Tree Learning by Mahesh Huddar

In this video, I will discuss how to find entropy and information gain given a set of training examples in constructing a decision tree.

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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Issues in Decision Tree Learning Machine Learning by Mahesh Huddar

In this video, I have discussed issues in decision tree learning,
Overfitting the Data
Incorporating Continuous valued attributes
Handling training examples with missing attribute values
Handling attributes with different costs
Alternative measures for selecting attributes

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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How to Avoid Overfitting in Decision Tree Learning | Machine Learning | Data Mining by Mahesh Huddar

In this video, I have discussed what is Overfitting, Why overfitting occurs, and how to handle overfitting in decision tree learning.


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How to handle Continuous Valued Attributes in Decision Tree Learning | Machine Learning by Mahesh Huddar

In this video, I will discuss how to handle continuous-valued attributes in discrete-valued attributes

Artificial Neural Networks | ANN | Appropriate Problems for ANN by Mahesh Huddar

Appropriate Problems for Artificial Neural Networks in Machine Learning: https://www.vtupulse.com/machine-learning/appropriate-problems-for-artificial-neural-networks-ann/

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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1. Perceptron Training Rule for Linear Classification Artificial Neural Networks Machine Learning

Appropriate Problems for Artificial Neural Networks: https://www.vtupulse.com/machine-learning/appropriate-problems-for-artificial-neural-networks-ann/

Perceptron Training Rule for Linear Classification - https://www.youtube.com/watch?v=du5fyS44DR8

OR GATE Perceptron Training Rule - https://www.youtube.com/watch?v=uxmNDNb0u9A

AND GATE Perceptron Training Rule - https://www.youtube.com/watch?v=zmIzNBMsQYQ

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

1. Gradient Descent and Delta Rule, Derivation of Delta Rule, Linealry and Non-linearly Separable Data by Mahesh Huddar

Gradient Descent and Delta Rule: https://www.vtupulse.com/machine-learning/gradient-descent-and-delta-rule/

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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2. Gradient Descent Algorithm and the Delta Rule for Non-Linearly Separable Data by Mahesh Huddar

Gradient Descent Algorithm: https://www.vtupulse.com/machine-learning/gradient-descent-algorithm/

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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Back Propagation Algorithm Artificial Neural Network Algorithm Machine Learning by Mahesh Huddar

Derivation of Backpropagation algorithm: https://youtu.be/XN5IRqtFhOY

Gradient Descent Algorithm: https://youtu.be/MUoEv1Hv0KM

Gradient Descent and Delta Rule: https://youtu.be/ktGm0WCoQOg

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT
********************************
The following concepts are discussed:
______________________________
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********************************

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Derivation of Weight Equation in Back Propagation Algorithm Artificial Neural Networks Algorithm Machine Learning by Mahesh Huddar

We use the Stochastic gradient descent rule to derive the equation for updating weights in the back propagation algorithm.
Stochastic gradient descent involves iterating through the training examples one at a time, for each training example d descending the gradient of the error Ed with respect to this single example.

Backpropagation algorithm: https://youtu.be/zAPHIAGBjwE

Gradient Descent Algorithm: https://youtu.be/MUoEv1Hv0KM

Gradient Descent and Delta Rule: https://youtu.be/ktGm0WCoQOg

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT
********************************
The following concepts are discussed:
______________________________
Derivation of the backpropagation algorithm,
backpropagation neural network,
backpropagation algorithm in the neural network,
the backpropagation learning algorithm,
backpropagation algorithm in machine learning,
backpropagation in neural networks,
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********************************

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Naive Bayes Theorem | Maximum A Posteriori Hypothesis | MAP Brute Force Algorithm by Mahesh Huddar

Bayes theorem is the cornerstone of Bayesian learning methods because it provides a way to calculate the posterior probability P(h|D), from the prior probability P(h), together with P(D) and P(D(h).

The learner considers some set of candidate hypotheses H and is interested in finding the most probable hypothesis h ϵ H given the observed data D (or at least one of the maximally probable if there are several).

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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How to use Naive Bayes rule to check whether the Patient has Cancer or Not by Mahesh Huddar mp4

Consider a medical diagnosis problem in which there are two alternative hypotheses:
(1) that the patient has a particular form of cancer.
(2) that the patient does not.
The available data is from a particular laboratory test with two possible outcomes: + (positive) and − (negative).
The test returns a correct positive result in only 98% of the cases in which the disease is actually present, and a correct negative result in only 97% of the cases in which the disease is not present.
Furthermore, we know that 0.008 of the entire population has cancer.

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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Maximum Likelihood Hypothesis and Least Squared Error Hypothesis by Mahesh Huddar

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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1. Solved Example Naive Bayes Classifier to classify New Instance PlayTennis Example by Mahesh Huddar

Here there are 14 training examples of the target concept PlayTennis, where each day is described by the attributes Outlook, Temperature, Humidity, and Wind.
Here we use the naive Bayes classifier and the training data from this table to classify the following novel instance: (Outlook=Sunny, Temp=Cool, Humidity=High, Wind= Strong)

How to use Naive Bayes rule to check whether the Patient has Cancer or Not: https://youtu.be/ytO3Iq_tOno

Solved Example:
1. Naive Bayes Solved Example: https://www.youtube.com/watch?v=XzSlEA4ck2I
2. Naive Bayes Solved Example: https://www.youtube.com/watch?v=z8K-598fqSo
3. Naive Bayes Solved Example: https://www.youtube.com/watch?v=fOK9DiKUGYs
4. Naive Bayes Solved Example: https://www.youtube.com/watch?v=iTqBC8GEZqs
5. Naive Bayes Solved Example: https://www.youtube.com/watch?v=yRl8Yq0M3TY
6. How to do Text / Document Classification using Naive Bayes Classifier and TF-IDF features: https://www.youtube.com/watch?v=ZKkEQSpRgCs

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Solved Example:
1. Naive Bayes Solved Example: https://www.youtube.com/watch?v=XzSlEA4ck2I
2. Naive Bayes Solved Example: https://www.youtube.com/watch?v=z8K-598fqSo
3. Naive Bayes Solved Example: https://www.youtube.com/watch?v=fOK9DiKUGYs
4. Naive Bayes Solved Example: https://www.youtube.com/watch?v=iTqBC8GEZqs
5. Naive Bayes Solved Example: https://www.youtube.com/watch?v=yRl8Yq0M3TY
6. How to do Text / Document Classification using Naive Bayes Classifier and TF-IDF features: https://www.youtube.com/watch?v=ZKkEQSpRgCs

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3. Solved Example Naive Bayes Classifier to classify New Instance Car Example by Mahesh Huddar

Solved Example:
1. Naive Bayes Solved Example: https://www.youtube.com/watch?v=XzSlEA4ck2I
2. Naive Bayes Solved Example: https://www.youtube.com/watch?v=z8K-598fqSo
3. Naive Bayes Solved Example: https://www.youtube.com/watch?v=fOK9DiKUGYs
4. Naive Bayes Solved Example: https://www.youtube.com/watch?v=iTqBC8GEZqs
5. Naive Bayes Solved Example: https://www.youtube.com/watch?v=yRl8Yq0M3TY
6. How to do Text / Document Classification using Naive Bayes Classifier and TF-IDF features: https://www.youtube.com/watch?v=ZKkEQSpRgCs

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4. Solved Example Naive Bayes Classifier to classify New Instance Football Match Example by Mahesh Huddar

Consider a football game between two rival teams, say team A and team B. Suppose team A wins 65% of the time and team B wins the remaining matches. Among the games won by team A, only 35% of them come from playing at team B’s football field. On the other hand, 75% of the victories for team B are obtained while playing at home.
If team B is to host the next match between the two teams, what is the probability that it will emerge as the winner?
If team B is to host the next match between the two teams, who will emerge as the winner?

Solved Example:
1. Naive Bayes Solved Example: https://www.youtube.com/watch?v=XzSlEA4ck2I
2. Naive Bayes Solved Example: https://www.youtube.com/watch?v=z8K-598fqSo
3. Naive Bayes Solved Example: https://www.youtube.com/watch?v=fOK9DiKUGYs
4. Naive Bayes Solved Example: https://www.youtube.com/watch?v=iTqBC8GEZqs
5. Naive Bayes Solved Example: https://www.youtube.com/watch?v=yRl8Yq0M3TY
6. How to do Text / Document Classification using Naive Bayes Classifier and TF-IDF features: https://www.youtube.com/watch?v=ZKkEQSpRgCs

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5. Solved Example Naive Bayes Classifier to classify New Instance Naive Bayes Theorem by mahesh Huddar

********************************

The following concepts are discussed:
______________________________
How to Compute
Conditional Probabilities
Predict the Label for the new instance

Consider the dataset given in the table and
1. Estimate the conditional probabilities of P(A|+), P(B|+), P(C|+), P(A|-), P(B|-), and P(C|-)
2. Use the conditional probability estimates and predict the class label for the test sample P(A=0, B=1, C=0)

Solved Example:
1. Naive Bayes Solved Example: https://www.youtube.com/watch?v=XzSlEA4ck2I
2. Naive Bayes Solved Example: https://www.youtube.com/watch?v=z8K-598fqSo
3. Naive Bayes Solved Example: https://www.youtube.com/watch?v=fOK9DiKUGYs
4. Naive Bayes Solved Example: https://www.youtube.com/watch?v=iTqBC8GEZqs
5. Naive Bayes Solved Example: https://www.youtube.com/watch?v=yRl8Yq0M3TY
6. How to do Text / Document Classification using Naive Bayes Classifier and TF-IDF features: https://www.youtube.com/watch?v=ZKkEQSpRgCs

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1. Bayesian Belief Network (BBN) Solved Numerical Example Burglar Alarm System by Mahesh Huddar

Example - 2: https://youtu.be/iz7Kl2gcmlk

You have a new burglar alarm installed at home.
It is fairly reliable at detecting burglary, but also sometimes responds to minor earthquakes.
You have two neighbors, John and Merry, who promised to call you at work when they hear the alarm.
John always calls when he hears the alarm, but sometimes confuses the telephone ringing with the alarm and calls too.
Merry likes loud music and sometimes misses the alarm.
Given the evidence of who has or has not called, we would like to estimate the probability of a burglary.

Solved Examples:
1. Bayesian Belief Networks Solved Example: https://www.youtube.com/watch?v=hEZjPZ-Ze0A
2. Bayesian Belief Networks Solved Example: https://www.youtube.com/watch?v=iz7Kl2gcmlk
3. Bayesian Belief Networks Solved Example: https://www.youtube.com/watch?v=-h_h7pnwY8A

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2. Bayesian Belief Network | BBN | Solved Numerical Example Burglar Alarm System by Mahesh Huddar

You have a new burglar alarm installed at home.
It is fairly reliable at detecting burglary, but also sometimes responds to minor earthquakes.
You have two neighbors, John and Merry, who promised to call you at work when they hear the alarm.
John always calls when he hears the alarm, but sometimes confuses the telephone ringing with the alarm and calls too.
Merry likes loud music and sometimes misses the alarm.

What is the probability that there is a burglary given that John and Merry calls?

Solved Examples:
1. Bayesian Belief Networks Solved Example: https://www.youtube.com/watch?v=hEZjPZ-Ze0A
2. Bayesian Belief Networks Solved Example: https://www.youtube.com/watch?v=iz7Kl2gcmlk
3. Bayesian Belief Networks Solved Example: https://www.youtube.com/watch?v=-h_h7pnwY8A

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3. Bayesian Belief Network BBN Solved Numerical Example Battery Gauge Fuel and Start Car by Mahesh Huddar

********************************
The following concepts are discussed:
______________________________
1. Find the probability of P(B=Good, F=Empty, G=Empty, S=Yes)
2. Find the probability of P(B=Bad, F=Empty, G=Not Empty, S=No)
3. Given the battery is bad, Compute the probability that the car will start

Solved Examples:
1. Bayesian Belief Networks Solved Example: https://www.youtube.com/watch?v=hEZjPZ-Ze0A
2. Bayesian Belief Networks Solved Example: https://www.youtube.com/watch?v=iz7Kl2gcmlk
3. Bayesian Belief Networks Solved Example: https://www.youtube.com/watch?v=-h_h7pnwY8A


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KMeans Clustering Algorithm | Steps in KMeans Algorithm | Advantages and Disadvantages by Mahesh Huddar

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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Expectation-Maximization EM Algorithm Steps Uses Advantages and Disadvantages by Mahesh Huddar

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

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How to do Text / Document Classification using Naive Bayes Classifier and TF-IDF features by Mahesh Huddar

Source Code: https://www.vtupulse.com/machine-learning/naive-bayesian-classifier-in-python-using-api/

Solved Example:
1. Naive Bayes Solved Example: https://www.youtube.com/watch?v=XzSlEA4ck2I
2. Naive Bayes Solved Example: https://www.youtube.com/watch?v=z8K-598fqSo
3. Naive Bayes Solved Example: https://www.youtube.com/watch?v=fOK9DiKUGYs
4. Naive Bayes Solved Example: https://www.youtube.com/watch?v=iTqBC8GEZqs
5. Naive Bayes Solved Example: https://www.youtube.com/watch?v=yRl8Yq0M3TY
6. How to do Text / Document Classification using Naive Bayes Classifier and TF-IDF features: https://www.youtube.com/watch?v=ZKkEQSpRgCs

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1. Solved Numerical Example of KNN (K Nearest Neighbor Algorithm) Classifier to classify New Instance IRIS Example by Mahesh Huddar

1. Solved Numerical Example of KNN: https://www.youtube.com/watch?v=Vk9lGGODaJA
2. Solved Numerical Example of KNN: https://www.youtube.com/watch?v=HZT0lxD5h6k

Tutorials:

Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Big Data Analysis - https://www.youtube.com/playlist?list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O

Data Science and Machine Learning - https://www.youtube.com/playlist?list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn

Python Tutorial - https://www.youtube.com/playlist?list=PL4gu8xQu0_5LBhuN1tdrdbId2MiaXXIwT

2. Solved Example KNN Classifier to classify New Instance Height and Weight Example by mahesh Huddar

In this video, I have discussed how to apply the KNN - k nearest neighbor machine learning algorithm to predict the class label for the new instance give the height and weight dataset.

1. Solved Numerical Example of KNN: https://www.youtube.com/watch?v=Vk9lGGODaJA
2. Solved Numerical Example of KNN: https://www.youtube.com/watch?v=HZT0lxD5h6k

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Instance-based Learning Locally weighted Regression Knn advantages disadvantages by Dr. Mahesh Huddar

Instance-based Learning: https://youtu.be/X-w1V63puww

K nearest Neighbor Learning Algorithm Discrete Valued and Real-Valued Functions: https://youtu.be/w6hQ3ES6Kbg

Distance Weighted K nearest Neighbor Learning Algorithm Discrete Valued and Real-Valued Functions: https://youtu.be/UAIIW3Bs5HE

The following concepts are discussed:
______________________________
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K nearest Neighbor Learning Algorithm Discrete Valued and Real-Valued Functions Dr. Mahesh Huddar

Instance-based Learning: https://youtu.be/X-w1V63puww

K nearest Neighbor Learning Algorithm Discrete Valued and Real-Valued Functions: https://youtu.be/w6hQ3ES6Kbg

Distance Weighted K nearest Neighbor Learning Algorithm Discrete Valued and Real-Valued Functions: https://youtu.be/UAIIW3Bs5HE

The following concepts are discussed:
______________________________
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4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates

Distance Weighted K nearest Neighbor Learning Algorithm Discrete Valued and Real-Valued Functions Dr. Mahesh Huddar

Instance-based Learning: https://youtu.be/X-w1V63puww

K nearest Neighbor Learning Algorithm Discrete Valued and Real-Valued Functions: https://youtu.be/w6hQ3ES6Kbg

Distance Weighted K nearest Neighbor Learning Algorithm Discrete Valued and Real-Valued Functions: https://youtu.be/UAIIW3Bs5HE

The following concepts are discussed:
______________________________

********************************

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Locally Weighted Regression Algorithm Instance-based learning Machine Learning by Dr. Mahesh Huddar

The following concepts are discussed:
______________________________
locally weighted, locally weighted regression,
locally weighted linear regression,
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Gradient decent rule, locally weighted regression machine learning,
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