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AI ML Lecture 7 A Real Full Practical Example of How to Do Multilayer Perceptron Training 2 2

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Lessons List | 15 Lesson

AI ML Lecture 1 Introduction to Artificial Intelligence AI and Machine Learning ML

AI ML Lecture 1 Introduction to Artificial Intelligence AI and Machine Learning ML

AI ML Lecture 2 Introduction to Machine Learning Decision Trees Supervised Learning

AI ML Lecture 2 Introduction to Machine Learning Decision Trees Supervised Learning

AI ML Lecture 3 Practical Example of Decision Trees with C and Accord NET Cross Validation

AI ML Lecture 3 Practical Example of Decision Trees with C and Accord NET Cross Validation

AI ML Lecture 4 Proper Model Training Testing KNN Algorithm Practical Example Accuracy

AI ML Lecture 4 Proper Model Training Testing KNN Algorithm Practical Example Accuracy

AI ML Lecture 5 Learning a Linear Classifier Perceptron Learning Hyperplanes KNN Neural

AI ML Lecture 5 Learning a Linear Classifier Perceptron Learning Hyperplanes KNN Neural

AI ML Lecture 6 A Real Full Practical Example of How to Do Multilayer Perceptron Training 1 2

AI ML Lecture 6 A Real Full Practical Example of How to Do Multilayer Perceptron Training 1 2

AI ML Lecture 7 A Real Full Practical Example of How to Do Multilayer Perceptron Training 2 2

AI ML Lecture 7 A Real Full Practical Example of How to Do Multilayer Perceptron Training 2 2

AI ML Lecture 8 Feature Selection Normalization Data Pre Processing TF IDF Text Processing

AI ML Lecture 8 Feature Selection Normalization Data Pre Processing TF IDF Text Processing

AI ML Lecture 9 Supervised Evaluation K Fold Cross Validation Multiclass Classification

AI ML Lecture 9 Supervised Evaluation K Fold Cross Validation Multiclass Classification

AI ML Lecture 10 What Is Learning To Rank LTR Pointwise Pairwise and Listwise Ranking

AI ML Lecture 10 What Is Learning To Rank LTR Pointwise Pairwise and Listwise Ranking

AI ML Lecture 11 Gradient Descent Loss Function Sparse Missing Data Regularization L1 L2

AI ML Lecture 11 Gradient Descent Loss Function Sparse Missing Data Regularization L1 L2

AI ML Lecture 12 Large Soft Margin Classifiers Support Vector Machines SVM Loss Function

AI ML Lecture 12 Large Soft Margin Classifiers Support Vector Machines SVM Loss Function

AI ML Lecture 13 Conditional Probability Probabilistic Models Joint Distribution Random Var

AI ML Lecture 13 Conditional Probability Probabilistic Models Joint Distribution Random Var

AI ML Lecture 14 Logistic Regression Ensemble Learning Bagging Boosting AdaBoost

AI ML Lecture 14 Logistic Regression Ensemble Learning Bagging Boosting AdaBoost

AI ML Lecture 15 Unsupervised Learning Clustering Algorithms Hierarchical Clustering K Means

AI ML Lecture 15 Unsupervised Learning Clustering Algorithms Hierarchical Clustering K Means

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NILESH RAJENDRA BACHHAV

Very good

2026-03-02

Swarali Inchure

Good

2024-05-17

Lakshyan Alahari

very detailed and very informative and like to learn more

2024-02-03

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Course Description

Any programming language will do. Sometimes special purpose languages will help, but most of the time you need a generic programming language to do complex things. So as a programming language (for AI), C# is as good as Java, or maybe even as good as C and C++ .

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