Statistics is important to machine learning practitioners.
- Statistics is a prerequisite in most courses and books on applied machine learning.
- Statistical methods are used at each step in an applied machine learning project.
- Statistical learning is the applied statistics equivalent of predictive modeling in machine learning.
A machine learning practitioner cannot be eective without an understanding of basic statistical concepts and statistics methods, and an eective practitioner cannot excel without being aware of and leveraging the terminology and methods used in the sister field of statistical learning.
Related posts:
Python Function Arguments
Python filter()
Python String isidentifier()
Python Program to Check Prime Number
Python Program to Add Two Numbers
Python String rstrip()
Python Get Current time
Python Program to Find Numbers Divisible by Another Number
Python datetime
Python Program to Count the Occurrence of an Item in a List
Python Global, Local and Nonlocal variables
Python Program to Trim Whitespace From a String
Deep Learning with Hadoop - Dipayan Dev
Python String endswith()
Python compile()
Python chr()
Python Program to Merge Two Dictionaries
Python id()
Python super()
Python List Comprehension
Python String isspace()
Python String isupper()
Python Program to Get the Last Element of the List
Python String isdecimal()
Amazon Machine Learning Developer Guild Version Latest
Python classmethod()
Python Dictionary items()
Python Dictionary update()
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Python abs()
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python memoryview()