
    Given a list of career interest category IDs collected from professionals within a 50-mile radius, develop a function that determines the most prevalent career field in the area. The category ID that appears most frequently in the list represents the dominant professional interest in the region, which can be used to identify potential networking opportunities and professional communities.
    

    
from collections import defaultdict

def max_occurrences(nums):
    """
    Given a list of career interest category IDs collected from professionals within a 50-mile radius, develop a function that determines the most prevalent career field in the area. The category ID that appears most frequently in the list represents the dominant professional interest in the region, which can be used to identify potential networking opportunities and professional communities.
    

    """
from collections import defaultdict

def max_occurrences(nums):
    """
    Given a list of career interest category IDs collected from professionals within a 50-mile radius, develop a function that determines the most prevalent career field in the area. The category ID that appears most frequently in the list represents the dominant professional interest in the region, which can be used to identify potential networking opportunities and professional communities.
    

    """
    dict = defaultdict(int)
    for i in nums:
        dict[i] += 1
    result = max(dict.items(), key=lambda x: x[1])
    return result[0]