Faisalsardar1
On this page, you find all documents, package deals, and flashcards offered by seller faisalsardar1.
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34 items
machine learning course
stanford machine learning course (half course + summary)
- Package deal
- • 16 items •
- Supervised learning setup • Class notes
- Dataset split; Exponential family. Generalized Linear Models. • Summary
- Linear Algebra Review • Class notes
- Linear Algebra • Presentation
- Gaussian discriminant analysis. Naive Bayes.Laplace Smoothing. • Class notes
- And more ….
stanford machine learning course (half course + summary)
Python/Numpy Tutorial.
Text editor/IDE options.. (don’t settle with notepad) 
• PyCharm (IDE) 
• Visual Studio Code (IDE) 
• Sublime Text (IDE) 
• Atom 
• Notepad ++/gedit 
• Vim (for Linux)
- Package deal
- Presentation
- • 39 pages •
Text editor/IDE options.. (don’t settle with notepad) 
• PyCharm (IDE) 
• Visual Studio Code (IDE) 
• Sublime Text (IDE) 
• Atom 
• Notepad ++/gedit 
• Vim (for Linux)
Neural Networks
Deep Learning 
Supervised learning with non linear models 
Logistic Regression 
Neural Networks 
computational power 
data available 
algorithms 
Propagation equation
- Package deal
- Summary
- • 6 pages •
Deep Learning 
Supervised learning with non linear models 
Logistic Regression 
Neural Networks 
computational power 
data available 
algorithms 
Propagation equation
Neural Networks
Deep Learning 
Supervised Learning with Non-linear Models 
Neural Networks 
Backpropagation 
Vectorization Over Training Examples
- Package deal
- Class notes
- • 21 pages •
Deep Learning 
Supervised Learning with Non-linear Models 
Neural Networks 
Backpropagation 
Vectorization Over Training Examples
Kernels, SVM.
summary of Kernel Methods 
SVMs
- Package deal
- Summary
- • 8 pages •
summary of Kernel Methods 
SVMs
Kernel Methods
Kernels. SVM.
- Package deal
- Class notes
- • 30 pages •
More on Multivariate Gaussians
1 Definition 
2 Gaussian facts 
3 Closure properties 
4 Summary 
5 Exercise
- Package deal
- Class notes
- • 11 pages •
1 Definition 
2 Gaussian facts 
3 Closure properties 
4 Summary 
5 Exercise
Naive Bayes, Laplace Smoothing summary
Outline 
Naive Bayes 
Laplacesmoothing 
Event Models 
Kernel Methods
- Package deal
- Summary
- • 7 pages •
Outline 
Naive Bayes 
Laplacesmoothing 
Event Models 
Kernel Methods
Gaussian discriminant analysis. Naive Bayes.
Gaussian discriminant analysis & it is model 
Naive Bayes.
- Package deal
- Summary
- • 6 pages •
Gaussian discriminant analysis & it is model 
Naive Bayes.
Linear Algebra
Outline 
1 Basic Concepts and Notation 
2 Matrix Multiplication 
3 Operations and Properties 
4 Matrix Calculus
- Package deal
- Presentation
- • 29 pages •
Outline 
1 Basic Concepts and Notation 
2 Matrix Multiplication 
3 Operations and Properties 
4 Matrix Calculus