GitHub - FurkanGozukara/Artificial-Intelligence-and-Machine-Learning-2021: Official Artificial Intelligence and Machine Learning 2021 course repository

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Official Artificial Intelligence and Machine Learning 2021 course repository

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Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
source code		source code
Lecture 1 - Introduction.pdf		Lecture 1 - Introduction.pdf
Lecture 1 - Introduction.pptx		Lecture 1 - Introduction.pptx
Lecture 10 - Ranking.pdf		Lecture 10 - Ranking.pdf
Lecture 10 - Ranking.pptx		Lecture 10 - Ranking.pptx
Lecture 11 - Gradient Descent & Regulazation.pdf		Lecture 11 - Gradient Descent & Regulazation.pdf
Lecture 11 - Gradient Descent & Regulazation.pptx		Lecture 11 - Gradient Descent & Regulazation.pptx
Lecture 12 - Large Margin & Soft Margin Classifiers.pdf		Lecture 12 - Large Margin & Soft Margin Classifiers.pdf
Lecture 12 - Large Margin & Soft Margin Classifiers.pptx		Lecture 12 - Large Margin & Soft Margin Classifiers.pptx
Lecture 13 - Probability & Probabilistic Models.pdf		Lecture 13 - Probability & Probabilistic Models.pdf
Lecture 13 - Probability & Probabilistic Models.pptx		Lecture 13 - Probability & Probabilistic Models.pptx
Lecture 14 - Logistic Regression & Ensemble Learning & Boosting.pdf		Lecture 14 - Logistic Regression & Ensemble Learning & Boosting.pdf
Lecture 14 - Logistic Regression & Ensemble Learning & Boosting.pptx		Lecture 14 - Logistic Regression & Ensemble Learning & Boosting.pptx
Lecture 15 - Unsupervised Learning.pdf		Lecture 15 - Unsupervised Learning.pdf
Lecture 15 - Unsupervised Learning.pptx		Lecture 15 - Unsupervised Learning.pptx
Lecture 2 - Part 1 - Introduction to Machine Learning.pdf		Lecture 2 - Part 1 - Introduction to Machine Learning.pdf
Lecture 2 - Part 1 - Introduction to Machine Learning.pptx		Lecture 2 - Part 1 - Introduction to Machine Learning.pptx
Lecture 2 - Part 2 - Decision Trees.pdf		Lecture 2 - Part 2 - Decision Trees.pdf
Lecture 2 - Part 2 - Decision Trees.pptx		Lecture 2 - Part 2 - Decision Trees.pptx
Lecture 3 - Practical Example of Decision Trees.pdf		Lecture 3 - Practical Example of Decision Trees.pdf
Lecture 3 - Practical Example of Decision Trees.pptx		Lecture 3 - Practical Example of Decision Trees.pptx
Lecture 4 - Geometric View of Data.pdf		Lecture 4 - Geometric View of Data.pdf
Lecture 4 - Geometric View of Data.pptx		Lecture 4 - Geometric View of Data.pptx
Lecture 5 - Perceptron Learning.pdf		Lecture 5 - Perceptron Learning.pdf
Lecture 5 - Perceptron Learning.pptx		Lecture 5 - Perceptron Learning.pptx
Lecture 6 and 7 - A Real Full Practical Example of How to Do Multilayer Perceptron Training.pdf		Lecture 6 and 7 - A Real Full Practical Example of How to Do Multilayer Perceptron Training.pdf
Lecture 6 and 7 - A Real Full Practical Example of How to Do Multilayer Perceptron Training.pptx		Lecture 6 and 7 - A Real Full Practical Example of How to Do Multilayer Perceptron Training.pptx
Lecture 8 - Feature Selection.pdf		Lecture 8 - Feature Selection.pdf
Lecture 8 - Feature Selection.pptx		Lecture 8 - Feature Selection.pptx
Lecture 9 - Evaluation & Multiclass.pdf		Lecture 9 - Evaluation & Multiclass.pdf
Lecture 9 - Evaluation & Multiclass.pptx		Lecture 9 - Evaluation & Multiclass.pptx
nerde kaldik.txt		nerde kaldik.txt

FurkanGozukara/Artificial-Intelligence-and-Machine-Learning-2021

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