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Machine Learning, Artificial Intelligence Tools, Best Practices.

• Neural Networks

• Deep Reinforcement Learning

• Random Forests

• Random Stochastic Search

• Markov Decision Processes

• Genetic Algorithm

• Knapsack (Naive 0-1, Fractional, DP)

• Probability Spaces

• Linear & Multiple Regression

• Trie

• Support Vector Machine

• Naive Bayes Classifier

• Cluster Analysis

• Decision Trees

• Nearest Neighbors

• Singly Linked List

• Doubly Linked List

• Shortest Paths

• Sorting (MergeSort, QuickSort)

• Topological Sort

• BFS

• DFS

• Factorial

• Adjacency List (sparse graphs)

• Adjacency Matrix (non- sparse graphs)

• Generalized BST

• Generalized Graph

• Priority Queue

• Heap

• Coin Change

• Kadane's Max Subarray Algorithm

• Multi-Armed Bandit with Strategic Arms

• Advanced Shortest Paths (Djikstra, A*)

• Metropolis- Hastings

• Cycle Detection

• String Similarity

• Bayesian Networks

• Probabilistic Programming (Sparse Data)

• Probabilistic Graphical Models

• Connected Components

• Primes

• Gradient Boosting Machines

• Hill Climbing

• Monte Carlo

• Anomaly Detection

• Stochastic Hill Climbing

• Iterated Local Search

• Guided Local Search

• Variable Neighborhood Search

• Greedy Randomized Adaptive Search

• Scatter Search

• Tabu Search

• Reactive Tabu Search

• Physical Algorithms

• Simulated Annealing

• Cultural Algorithms

• Memetic Algorithms

• Probabilistic Algorithms

• Population-Based Incremental Learning

• Evolutionary Algorithms

• Evolution Strategies

• Evolutionary Programming

• Gene Expression Programming

• Learning Classifier Systems

• Non-dominated Sorting Genetic Algorithms

• Strength Pareto Evolutionary Algorithm

• Swarm Intelligence

• Particle Swarm Optimization

• Bacterial Foraging Optimization

• Clonal Selection Algorithm

• Artificial Immune Recognition System

• Immune Network Algorithm

• Self Organizing Map

• Queue

• ADT API for Advanced Data Structures

• DiGraph

• BiPartite graphs