University of Washington - Machine Learning Foundations: A Case Study Approach
3.8 /5- Offered byCoursera
Machine Learning Foundations: A Case Study Approach at Coursera Overview
Machine Learning Foundations: A Case Study Approach
at Coursera
Duration | 15 hours |
Start from | Start Now |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Machine Learning Foundations: A Case Study Approach at Coursera Highlights
Machine Learning Foundations: A Case Study Approach
at Coursera
- Earn a Certificate on successful course completion from The University of Washington
- Get unlimited access to the course content
- Graded Assignments with Peer Feedback
- 30 % got a tangible career benefit from this course
- 32 % Started a new career after completing this specialization
- Shareable Specialization and Course Certificates
Read more
Machine Learning Foundations: A Case Study Approach at Coursera Course details
Machine Learning Foundations: A Case Study Approach
at Coursera
Skills you will learn
What are the course deliverables?
- Identify potential applications of machine learning in practice
- Describe the core differences in analyses enabled by regression, classification, and clustering
- Select the appropriate machine learning task for a potential application
- Apply regression, classification, clustering, retrieval, recommender systems, and deep learning
- Represent your data as features to serve as input to machine learning models
- Assess the model quality in terms of relevant error metrics for each task
- Utilize a dataset to fit a model to analyze new data
- Build an end-to-end application that uses machine learning at its core
- Implement these techniques in Python.
More about this course
- In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains.
Machine Learning Foundations: A Case Study Approach at Coursera Curriculum
Machine Learning Foundations: A Case Study Approach
at Coursera
Week 1: Welcome
Week 2: Regression: Predicting House Prices
Week 3: Classification: Analyzing Sentiment
Week 4: Clustering and Similarity: Retrieving Documents
Week 5: Recommending Products
Week 6: Deep Learning: Searching for Images
Machine Learning Foundations: A Case Study Approach at Coursera Admission Process
Machine Learning Foundations: A Case Study Approach
at Coursera
Important Dates
May 25, 2024
Course Commencement Date
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A
Abhinav Marda
Machine Learning Foundations: A Case Study Approach
Offered by Coursera
4
Learning Experience: good
Faculty: g
g
Course Support: good
Reviewed on 17 May 2022Read More
H
Harsha S
Machine Learning Foundations: A Case Study Approach
Offered by Coursera
4
Other: I learnt many things in Machine Learning that was different from normal classroom learning and gained some extra knowledge that would come in hand some of the other day and help me in IT industry.
Reviewed on 28 May 2021Read More
S
SIVA S
Machine Learning Foundations: A Case Study Approach
Offered by Coursera
1
Other: I had not acquired any insight on it as it was supposed to be.
The topics start off quickly, where I had issues installing the recommended software which they had provided.
Instructions weren't clear enough for a beginner,
Reviewed on 25 Apr 2021Read More
A
ASFAD A
Machine Learning Foundations: A Case Study Approach
Offered by Coursera
4
Other: Good
Reviewed on 30 Oct 2020Read More
View All 4 Reviews
Machine Learning Foundations: A Case Study Approach
at Coursera
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