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Machine Learning Foundations: A Case Study Approach
课程
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30 时
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课程详情
教学大纲
- Week 1 - Welcome
Machine learning is everywhere, but is often operating behind the scenes.This introduction to the specialization provides you with insights into the power of machine learning, and the multitude of intelligent applications you personally will be able to dev...
- Week 2 - Regression: Predicting House Prices
This week you will build your first intelligent application that makes predictions from data.We will explore this idea within the context of our first case study, predicting house prices, where you will create models that predict a continuous value (price) ...
- Week 3 - Classification: Analyzing Sentiment
How do you guess whether a person felt positively or negatively about an experience, just from a short review they wrote?In our second case study, analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input feat...
- Week 4 - Clustering and Similarity: Retrieving Documents
A reader is interested in a specific news article and you want to find a similar articles to recommend. What is the right notion of similarity? How do I automatically search over documents to find the one that is most similar? How do I quantitatively repres... - Week 5 - Recommending Products
Ever wonder how Amazon forms its personalized product recommendations? How Netflix suggests movies to watch? How Pandora selects the next song to stream? How Facebook or LinkedIn finds people you might connect with? Underlying all of these technologies for... - Week 6 - Deep Learning: Searching for Images
You’ve probably heard that Deep Learning is making news across the world as one of the most promising techniques in machine learning. Every industry is dedicating resources to unlock the deep learning potential, including for tasks such as image tagging, objec... - Week 6 - Closing Remarks
In the conclusion of the course, we will describe the final stage in turning our machine learning tools into a service: deployment.We will also discuss some open challenges that the field of machine learning still faces, and where we think machine learning ...
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讲师
Carlos Guestrin
Amazon Professor of Machine Learning
Computer Science and Engineering
Emily Fox
Amazon Professor of Machine Learning
Statistics
编辑
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平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
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