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 e ective without an understanding of basic statistical concepts and statistics methods, and an e ective practitioner cannot excel without being aware of and leveraging the terminology and methods used in the sister field of statistical learning.
Related posts:
Python List count()
Python classmethod()
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Set add()
Python String strip()
Python Program to Remove Duplicate Element From a List
Python List copy()
Python next()
Python pass statement
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Program to Find the Square Root
Python Program to Convert Decimal to Binary Using Recursion
The hundred-page Machine Learning Book - Andriy Burkov
Python while Loop
Deep Learning and Neural Networks - Jeff Heaton
Python List
Python String format_map()
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Data Science and Big Data Analytics - EMC Education Services
Python Variables, Constants and Literals
Python staticmethod()
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Program to Find Hash of File
Python Program to Check Whether a String is Palindrome or Not
Python String maketrans()
Python issubclass()
Python Set copy()
Python Set symmetric_difference()
Python String isalnum()
Deep Learning with Theano - Christopher Bourez
Python String islower()
