Search result for Stanford machine learning course free Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 303 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. Why machine learning in healthcare? Supervised Machine Learning Approaches: Regression and the "No Free Lunch" Theorem...
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
-
![]()
![]()
![]()
![]()
![]()
8 Weeks
This course concentrates on recognizing and solving convex optimization problems that arise in applications. The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learn...
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
-
![]()
![]()
![]()
![]()
![]()
8 Weeks
This course concentrates on recognizing and solving convex optimization problems that arise in applications. This course concentrates on recognizing and solving convex optimization problems that arise in applications. Candidate in Computer Science at Stanford University. He has previously taught Convex Optimization (EE 364A) at Stanford University and holds a B. in Computer Science from Stanford University....
Machine Learning A-Z: Logistic Regression Using Python ©
by AI Sciences- 4.1
-
![]()
![]()
![]()
![]()
![]()
8.5 hours on-demand video
This comprehensive course will be your guide to learning how to use the power of Python to train your machine such that your machine starts learning just like human and based on that learning, your machine starts making predictions as well! This course is for you if you want to learn how to program in Python for Machine Learning...
$12.99
Mining Massive Datasets
by Jeffrey D. Ullman , Jure Leskovec , Anand Rajaraman- 0.0
-
![]()
![]()
![]()
![]()
![]()
7 Weeks
The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course. Press, but by arrangement with the publisher, you can download a free copy Here. The material in this on-line course closely matches the content of the Stanford course CS246....
$149
Data Wrangling with Python
by Packt Publishing- 3.6
-
![]()
![]()
![]()
![]()
![]()
3.5 hours on-demand video
Samik Sen is currently working with R on Machine Learning. from the University of Illinois and certifications in Artificial Intelligence and Machine learning from Stanford and MIT. He holds a master's degree in computer science from West Bengal University Of Technology and certifications in machine learning from Stanford....
$9.99
Natural Language Processing with Attention Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
This course is for students of machine learning or artificial intelligence as well as software engineers looking for a deeper understanding of how NLP models work and how to apply them. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Neural Machine Translation...
Related searches
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 66 hours to complete
They are also a foundational tool in formulating many machine learning problems. The course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models. Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional) Learning in Parametric Models...
Natural Language Processing with Classification and Vector Spaces
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
In Course 1 of the Natural Language Processing Specialization, offered by deeplearning. Please make sure that you’re comfortable programming in Python and have a basic knowledge of machine learning, matrix multiplications, and conditional probability. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Welcome to Course 1...
Natural Language Processing with Probabilistic Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 28 hours to complete
In Course 2 of the Natural Language Processing Specialization, offered by deeplearning. Please make sure that you’re comfortable programming in Python and have a basic knowledge of machine learning, matrix multiplications, and conditional probability. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Intro to Course 2...
