machine-learning-tutorials
github.com/ujjwalkarn/machine-learning-tutorials ↗machine learning and deep learning tutorials, articles and other resources
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GitHub Stars
468
Curated Resources
28
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IntroductionInterview ResourcesArtificial IntelligenceGenetic AlgorithmsStatisticsUseful BlogsResources on QuoraKaggle Competitions WriteUpCheat SheetsClassificationLinear RegressionLogistic RegressionModel Validation using ResamplingDeep LearningNatural Language ProcessingComputer VisionSupport Vector MachineReinforcement LearningDecision TreesRandom Forest / BaggingBoostingEnsemblesStacking ModelsVapnik–Chervonenkis DimensionBayesian Machine LearningSemi Supervised LearningOptimizationOther Tutorials
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Installation instructions →What's inside
Interview Resources
Natural Language Processing
Introduction
- A curated list of awesome data visualization libraries and resources.
- A curated list of awesome Machine Learning frameworks, libraries and software
- AI/ML YouTube Courses
- An awesome Data Science repository to learn and apply for real world problems
- An Introduction to Statistical Learning
- Comparison Supervised Learning Algorithms
Deep Learning
Boosting
Useful Blogs
- Adam Geitgey
Easiest Introduction to machine learning
- AI Junkie
a blog about Artificial Intellingence
- Alex Minnaar's Blog
A blog about Machine Learning and Software Engineering
- Andrej Karpathy
A blog about Deep Learning and Data Science in general
- A Quantitative Journey | outlace
learning quantitative applications
- Colah's Blog
Awesome Neural Networks Blog
Optimization
Showing a sample of 468 resources. View the full list on GitHub →