Stanford University - Machine Learning
4.6 /5- Offered byCoursera
Machine Learning at Coursera Overview
Machine Learning
at Coursera
Start instantly and learn at your own schedule.
Duration | 56 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Future job roles | Account Planning, .Net, Black Box Testing, Assistant Vice President - IT Knowledge Banking , E Commerce Analyst |
Machine Learning at Coursera Highlights
Machine Learning
at Coursera
- Flexible deadlines
- 100% Online Course
- Rich Learning Content
- Offered by Stanford
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Machine Learning at Coursera Course details
Machine Learning
at Coursera
Skills you will learn
What are the course deliverables?
- Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself
- Learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.
More about this course
- This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include:
- (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
- (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
- (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
- The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Machine Learning at Coursera Curriculum
Machine Learning
at Coursera
Introduction
Linear Regression with One Variable
Linear Algebra Review
Linear Regression with Multiple Variables
Octave/Matlab Tutorial
Logistic Regression
Regularization
Neural Networks: Representation
Neural Networks: Learning
Advice for Applying Machine Learning
Machine Learning System Design
Support Vector Machines
Unsupervised Learning
Dimensionality Reduction
Anomaly Detection
Recommender Systems
Large Scale Machine Learning
Application Example: Photo OCR
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D
Deepti
Machine Learning
Offered by Coursera
5
Learning Experience: It is very superb cauching very helpful for the needies
Faculty: Very good
Nothing
Course Support: No
Reviewed on 10 Feb 2023Read More
C
CH Hima Chandrika
Machine Learning
Offered by Coursera
4
Learning Experience: Machine learning is a subfield of artificial intelligence. AI and Machine Learning can disrupt and transform every single segment of society.
Faculty: Though it was online classes, it is very nice to listen the classes and the faculties teaching skills were good.
After every week there is an assignment which we have to complete and submit within the deadline.
Course Support: No
Reviewed on 2 Oct 2022Read More
L
Lokender Yadav
Machine Learning
Offered by Coursera
5
Learning Experience: It was great and insightful incase you want to start from basic this course is the best one
Faculty: Faculty was great and well experienced one the examples and real time case studies are really helpful
The curriculum is very well designed, it also align the content with current industry needs.
Course Support: No career support is provided for this course it's just a knowledge enhancing experience
Reviewed on 11 Sep 2022Read More
R
Rushikesh Hiray
Machine Learning
Offered by Coursera
5
Learning Experience: Course consist of several module regarding deep learning, like Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Sequence Models, Structuring Machine Learning Projects. You get to work on assignment to check your knowledge
Faculty: Andrew N G was facaulty there his teaching is very well known in machine learning community
Course is updated to latest research and right after learning we were able to check gained knowledge by assignment and mcg
Course Support: No
Reviewed on 28 Aug 2022Read More
N
Nimish Kalwar
Machine Learning
Offered by Coursera
5
Learning Experience: This course is one of the best in this domain, It will cover all the aspects of machine learning in a easy way and we can also get hands on experience with theoretical knowledge.
Faculty: Andrew Ng is the faculty and his way of teaching is very good
Course Structure is good but it might not be updated with the current content or libraries
Course Support: Yes, by doing this course I get know many unknown aspects of machine learning and increase interest in this field
Reviewed on 12 Aug 2022Read More
View All 136 Reviews
Machine Learning
at Coursera
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