Algorithms-and-Data-Structures
Algorithms & Data Structures Guide
https://github.com/mikeroyal/Algorithms-and-Data-Structures
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Algorithms & Data Structures Learning Resources
- Algorithm - defined, computer implementabled instructions, typically to solve a class of specific problems or to perform a computation task such as data processing, automated reasoning, and machine learning.
- VisualGo: Visualising data structures and algorithms through animation
- Data Structure & Algorithms Visualizations
- Learning Data Structures and Algorithms courses on Coursera
- Learning Data Structures and Algorithms courses on Udemy
- Learning Data Structures and Algorithms courses on edX
- Intro to Data Structures and Algorithms courses on Udacity
- Learning Algorithms courses on Khan Academy
- Data Structures and Algorithms course from Harvard University
- Data Structures and Algorithms course from Standford University(CS 166)
- Learning Algorithms and Data Structures courses on Pluralsight
- Data structure and algorithms online course on Learnbay.io
- Discrete Probability
- Mathematical Proofs
- Data Structure
- Intro to Data Structures and Algorithms courses on Udacity
- Data structure and algorithms online course on Learnbay.io
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Algorithms
- Fuzzy logic - tree processing and better integration with rules-based programming.
- ResearchGate
- Support Vector Machine (SVM) - group classification problems.
- OpenClipArt
- Fjodor van Veen
- Convolutional Neural Networks (R-CNN)
- CS231n
- Slideteam
- wikimedia
- Decision trees - structured models for classification and regression.
- CMU
- Naive Bayes - theorem.html) with strong independence assumptions between the features.
- mathisfun
- wikimedia
- wikimedia
- wikimedia
- wikimedia
- wikimedia
- wikimedia
- wikimedia
- wikimedia
- wikimedia
- wikimedia
- wikimedia
- wikimedia
- wikimedia
- Recurrent neural networks (RNNs)
- IBM
- Random forest - used machine learning algorithm, which combines the output of multiple decision trees to reach a single result. A decision tree in a forest cannot be pruned for sampling and therefore, prediction selection. Its ease of use and flexibility have fueled its adoption, as it handles both classification and regression problems.
- DeepAI
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Data Structures
- Heaps - based data structure which is essentially an almost complete tree that satisfies the heap property.
- Arrays
- Vector
- Linked Lists
- Singly Linked List
- Doubly-Linked List
- Trees
- Hash Tables
- Stacks
- Queues
- Graphs
- Singly Linked List
- Hash Tables
- Singly Linked List
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