Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
https://github.com/ujjwalkarn/Machine-Learning-Tutorials
Last synced: 16 days ago
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Support Vector Machine
- Help me Understand SVMs!
- SVM in Layman's terms
- How does SVM Work | Comparisons
- A tutorial on SVMs
- Practical Guide to SVC
- Introductory Overview of SVMs
- SVMs > ANNs - are-advantages-of-artificial-neural-networks-over-support-vector-machines), [Another Comparison](http://www.svms.org/anns.html)
- Trees > SVMs
- Kernel Logistic Regression vs SVM
- Logistic Regression vs SVM - v-s-logistic-regression), [3](https://www.quora.com/Support-Vector-Machines/What-is-the-difference-between-Linear-SVMs-and-Logistic-Regression)
- Variable Importance from SVM
- LIBSVM
- Intro to SVM in R
- What are Kernels in ML and SVM?
- Intuition Behind Gaussian Kernel in SVMs?
- Platt's Probabilistic Outputs for SVM
- Platt Calibration Wiki
- Why use Platts Scaling
- Classifier Classification with Platt's Scaling
- A tutorial on SVMs
- Intro to SVM in R
- What are Kernels in ML and SVM?
- Intuition Behind Gaussian Kernel in SVMs?
- Classifier Classification with Platt's Scaling
- Help me Understand SVMs!
- How does SVM Work | Comparisons
- Trees > SVMs
- Platt's Probabilistic Outputs for SVM
- Practical Guide to SVC
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Uncategorized
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Useful Blogs
- Edwin Chen's Blog - A blog about Math, stats, ML, crowdsourcing, data science
- ML Wave - A blog for Learning Machine Learning
- Andrej Karpathy - A blog about Deep Learning and Data Science in general
- Colah's Blog - Awesome Neural Networks Blog
- Alex Minnaar's Blog - A blog about Machine Learning and Software Engineering
- Statistically Significant - Andrew Landgraf's Data Science Blog
- Simply Statistics - A blog by three biostatistics professors
- Yanir Seroussi's Blog - A blog about Data Science and beyond
- fastML - Machine learning made easy
- Trevor Stephens Blog - Trevor Stephens Personal Page
- A Quantitative Journey | outlace - learning quantitative applications
- r4stats - analyze the world of data science, and to help people learn to use R
- Variance Explained - David Robinson's Blog
- AI Junkie - a blog about Artificial Intellingence
- Deep Learning Blog by Tim Dettmers - Making deep learning accessible
- J Alammar's Blog - Blog posts about Machine Learning and Neural Nets
- Adam Geitgey - Easiest Introduction to machine learning
- Edwin Chen's Blog - A blog about Math, stats, ML, crowdsourcing, data science
- Statistically Significant - Andrew Landgraf's Data Science Blog
- fastML - Machine learning made easy
- Variance Explained - David Robinson's Blog
- AI Junkie - a blog about Artificial Intellingence
- Deep Learning Blog by Tim Dettmers - Making deep learning accessible
- Ethen's Notebook Collection - Continuously updated machine learning documentations (mainly in Python3). Contents include educational implementation of machine learning algorithms from scratch and open-source library usage
- no free hunch | kaggle - The Kaggle Blog about all things Data Science
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Vapnik–Chervonenkis Dimension
- Wikipedia article on VC Dimension
- Intuitive Explanantion of VC Dimension
- Video explaining VC Dimension
- FAQs about VC Dimension
- Do ensemble techniques increase VC-dimension?
- Introduction to VC Dimension
- Introduction to VC Dimension
- FAQs about VC Dimension
- Do ensemble techniques increase VC-dimension?
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