AI-Learning-Roadmap

In this learning roadmap I will share the steps I have taken so far, to improve my path to AI learning journey. I am creating this repository to enrich my experience and keep track of my progress. As there are a lot of topics to cover I will try to make it as simple as possible so that in future anyone can take a glimpse of it and get the idea.

Mathematics:

1. Algebra:
   • Exponent Rules
   • Factoring
   • Functions
   • Graphs and equations

Programming:

2. Python:
   • Strings, Integers
   • List
   • Dictionary
   • Recursion
     • There are three steps in recurstion: * Divide big problem into small and simple problems * Find a base condition with simple answer * Return or roll back answer for base condition to solve all sub problems
3. Data Structure in Python:
   • Stack
   • Queue
   • Tree
     • General Tree
     • Binary Tree
     • Binary Search Tree
       • Build a Tree
       • Add Child Node
       • Traversal: In Order, Pre Order, Post Order
       • Search for a value
       • Determine tree depth
       • Find the maximum and minimum value
       • Delete a value from a tree
   • Graph

Framework for Web Developement:

1. Laravel:
   • Laravel Basics
   • Frontend
   • Backend

Version Control System:

1. Git
   • Basics of git
   • Commands:
     • Git status (Check for uncommitted changes)
     • Add
     • Commit
     • Push
     • Pull
       • git pull origin main
         1. Fast forward merge: If local branch has no new commits to remote branch, git pull will update local branch to match the remote branch without any merge conflicsts.
         2. Merge conflicts: Same file changed in local and remote. Need to resolve confilcts.
         3. Uncommitteed change: File is changed in local, but not committed to remote. Eiher commit or stash the changes in local. Then pull will work.