Machine Learning Algorithms and Data Structures

Machine Learning Algorithms

Neural Networks

• Activation Functions
• Solving XOR with a Neural Netwrok
• Perceptron

Classification

• Logistic Regression
• Naive Bayes
• K-Nearest Neighbors

Regression

• Linear Regression with a single variable
• Linear Regression with multiple variables
• Gradient Decent and the Cost Function
• Radial Basis Function

Data Structures

• 101
• Hash Table
• Recursion
• Sequences
  • Lists
  • Queues
• Searching Algorithms
  • Binary Search
  • Depth First Search
  • Breadth First Search
• Sorting Algorithms
  • Bubble Sort
  • Merge Sort
  • Quick Sort
  • Selection Sort
• Linked Lists
• Stacks
• Trees
  • Basic Tree
  • Tree Traversals
  • Binary Search Tree (BST)
• Graphs
  • Graph Theory
  • Traversing Graphs (DFS / BFS)
  • Graph Class
  • Graph for Flight paths
• Tries
  • About Tries

Algorithms

• Greedy Algorithms
• Dijkstras Algorithm (Shortest path problem)
• Knapsack Problem
• Traveling Salesman Problem
• Check if number is a power of n

Statistics

• Bayesian Methods
  • Librarian or Farmer
  • Probability mass function of a Poisson random variable, differing λ values
  • Probability density function of an exponential random variable, differeinig λ values