AI ML and Vision Conferences

                 AI SYSTEM

        ┌──────── Learning ────────┐
        │                          │
   Deep Learning              Representation
        │                          │
        └──────── Perception ──────┘
                    │
                    ▼
            Probabilistic Inference
                    │
           Factor Graph / Optimization
                    │
                    ▼
                State Estimation
                    │
                    ▼
             Planning / Control

def backtrack(index):
    res.append(list(path))
    for i in range(index, len(nums)):
        path.append(nums[i])
        backtrack(i + 1)
        path.pop()

def function_name(parameters) -> return_type:
List[List[str]] = a list of chessboards, where each chessboard is represented as a list of strings.
def findMedianSortedArrays(self, nums1: List[int], nums2: List[int]) -> float:

**edge case**
nums1_left_max = nums1[i-1] if i > 0 else float('-inf')
nums1_right_min = nums1[i] if i < m else float('inf')

**otherwise**
if i == 0:
    nums1_left_max = -∞
elif i == m:
    nums1_right_min = +∞
else:
    nums1_left_max = nums1[i-1]

**
Run-time analysis → produces → Algorithm complexity
T(n) = 3n² + 5n + 2 → O(n²)

**method**
All classes have a built-in method called __init__(), used to assign values to object properties, or to perform operations.

Complex System → Division → Independent Modules
**
Encapsulation → Abstraction → Independence → Reusability
**
Client → HTTP Request → API Endpoint → Service → Database

Problem
  ↓
Pattern recognition
  ↓
Data structure
  ↓
Algorithm
  ↓
Complexity analysis