×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Stanford Seminar ML Explainability Part 3 I Post hoc Explanation Methods

Share your inquiries now with community members Click Here
Previous Lesson Next Lesson
Sign Up and Get Free Certificate
Sign up Now
Lesson extensions

Lessons List | 5 Lesson

Comments

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

We Appreciate Your Feedback

Excellent
9 Reviews
Good
-4 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
4.7
42 Reviews
boby 

very good
2025-10-24

Aditi Raj 

amazing
2025-02-02

Kosuri Venkata Tejasri 

great experience
2024-12-19

Krishnanand Shaju 

Great
2024-04-04

Muhammad Haleem Junejo 

Excellent
2023-12-25

HASHIM SHARAF C P 

good
2023-11-10

Manohara B K 

Excellent
2023-11-08

Ali kemal Yildiz 

very good
2023-11-06

Fajar Riyanto 

Good
2023-11-06

SHUBHAM TALPATE 

good
2023-11-03

AL HANDUNG DIMAS LUPRI BADI 

Done Ga bang
2023-11-03

Show More Reviews


Related Courses in Computer Science
Linear Algebra for Computer Scientists
7 Lessons

Linear Algebra for Computer Scientists

Insertion Sort
3 Lessons

Insertion Sort

Bubble Sort
4 Lessons

Bubble Sort

GCSE Computer Science
18 Lessons

GCSE Computer Science

Random Access Memory
7 Lessons

Random Access Memory

Binary Trees
4 Lessons

Binary Trees

Bitwise Operators
4 Lessons

Bitwise Operators

Introduction to Stacks Data Structures
17 Lessons

Introduction to Stacks Data Structures

Organization Theory Structure and Design
41 Lessons

Organization Theory Structure and Design

Handling Large Scale Unit Level Data
41 Lessons

Handling Large Scale Unit Level Data

Introduction to Machine Learning
19 Lessons

Introduction to Machine Learning

Applied Linear Algebra Vectors Matrices
54 Lessons

Applied Linear Algebra Vectors Matrices

Artificial Intelligence beginners
1 Lessons

Artificial Intelligence beginners

Machine Learning Autumn 2018
1 Lessons

Machine Learning Autumn 2018

Robotics and Autonomous Systems
15 Lessons

Robotics and Autonomous Systems

Natural Language Understanding
15 Lessons

Natural Language Understanding

Course Description

Machine learning is a type of artificial intelligence (AI) that enables systems to automatically learn and improve from experience without being explicitly programmed
Trends
Recent
Previous Lesson Next Lesson