Washington University - Machine Learning Foundations: A Case Study Approach
3.8 /5- Offered byCoursera
- Public/Government Institute
Machine Learning Foundations: A Case Study Approach at Coursera Overview
Machine Learning Foundations: A Case Study Approach
at Coursera
Duration | 15 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Machine Learning Foundations: A Case Study Approach
Table of contents
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
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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
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Abhinav Marda
Machine Learning Foundations: A Case Study Approach
4
Learning Experience: good
Faculty: g
g
Course Support: good
Reviewed on 17 May 2022Read More
S
SIVA S
Machine Learning Foundations: A Case Study Approach
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
4
Other: Good
Reviewed on 30 Oct 2020Read More
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Machine Learning Foundations: A Case Study Approach
at Coursera
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