课程信息
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第 1 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

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完成时间大约为24 小时

建议:6 weeks of study, 5-8 hours/week...

英语(English)

字幕:英语(English), 韩语, 越南语, 中文(简体)

您将获得的技能

Python ProgrammingMachine Learning ConceptsMachine LearningDeep Learning

第 1 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

完成时间大约为24 小时

建议:6 weeks of study, 5-8 hours/week...

英语(English)

字幕:英语(English), 韩语, 越南语, 中文(简体)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

Welcome

18 个视频 (总计 84 分钟), 6 个阅读材料
18 个视频
Who we are5分钟
Machine learning is changing the world3分钟
Why a case study approach?7分钟
Specialization overview6分钟
How we got into ML3分钟
Who is this specialization for?4分钟
What you'll be able to do57
The capstone and an example intelligent application6分钟
The future of intelligent applications2分钟
Starting an IPython Notebook5分钟
Creating variables in Python7分钟
Conditional statements and loops in Python8分钟
Creating functions and lambdas in Python3分钟
Starting GraphLab Create & loading an SFrame4分钟
Canvas for data visualization4分钟
Interacting with columns of an SFrame4分钟
Using .apply() for data transformation5分钟
6 个阅读材料
Important Update regarding the Machine Learning Specialization10分钟
Slides presented in this module10分钟
Reading: Getting started with Python, IPython Notebook & GraphLab Create10分钟
Reading: where should my files go?10分钟
Download the IPython Notebook used in this lesson to follow along10分钟
Download the IPython Notebook used in this lesson to follow along10分钟
2
完成时间为 2 小时

Regression: Predicting House Prices

19 个视频 (总计 82 分钟), 3 个阅读材料, 2 个测验
19 个视频
What is the goal and how might you naively address it?3分钟
Linear Regression: A Model-Based Approach5分钟
Adding higher order effects4分钟
Evaluating overfitting via training/test split6分钟
Training/test curves4分钟
Adding other features2分钟
Other regression examples3分钟
Regression ML block diagram5分钟
Loading & exploring house sale data7分钟
Splitting the data into training and test sets2分钟
Learning a simple regression model to predict house prices from house size3分钟
Evaluating error (RMSE) of the simple model2分钟
Visualizing predictions of simple model with Matplotlib4分钟
Inspecting the model coefficients learned1分钟
Exploring other features of the data6分钟
Learning a model to predict house prices from more features3分钟
Applying learned models to predict price of an average house5分钟
Applying learned models to predict price of two fancy houses7分钟
3 个阅读材料
Slides presented in this module10分钟
Download the IPython Notebook used in this lesson to follow along10分钟
Reading: Predicting house prices assignment10分钟
2 个练习
Regression18分钟
Predicting house prices6分钟
3
完成时间为 2 小时

Classification: Analyzing Sentiment

19 个视频 (总计 75 分钟), 3 个阅读材料, 2 个测验
19 个视频
What is an intelligent restaurant review system?4分钟
Examples of classification tasks4分钟
Linear classifiers5分钟
Decision boundaries3分钟
Training and evaluating a classifier4分钟
What's a good accuracy?3分钟
False positives, false negatives, and confusion matrices6分钟
Learning curves5分钟
Class probabilities1分钟
Classification ML block diagram3分钟
Loading & exploring product review data2分钟
Creating the word count vector2分钟
Exploring the most popular product4分钟
Defining which reviews have positive or negative sentiment4分钟
Training a sentiment classifier3分钟
Evaluating a classifier & the ROC curve4分钟
Applying model to find most positive & negative reviews for a product4分钟
Exploring the most positive & negative aspects of a product4分钟
3 个阅读材料
Slides presented in this module10分钟
Download the IPython Notebook used in this lesson to follow along10分钟
Reading: Analyzing product sentiment assignment10分钟
2 个练习
Classification14分钟
Analyzing product sentiment22分钟
4
完成时间为 2 小时

Clustering and Similarity: Retrieving Documents

17 个视频 (总计 76 分钟), 3 个阅读材料, 2 个测验
17 个视频
What is the document retrieval task?1分钟
Word count representation for measuring similarity6分钟
Prioritizing important words with tf-idf3分钟
Calculating tf-idf vectors5分钟
Retrieving similar documents using nearest neighbor search2分钟
Clustering documents task overview2分钟
Clustering documents: An unsupervised learning task4分钟
k-means: A clustering algorithm3分钟
Other examples of clustering6分钟
Clustering and similarity ML block diagram7分钟
Loading & exploring Wikipedia data5分钟
Exploring word counts5分钟
Computing & exploring TF-IDFs7分钟
Computing distances between Wikipedia articles5分钟
Building & exploring a nearest neighbors model for Wikipedia articles3分钟
Examples of document retrieval in action4分钟
3 个阅读材料
Slides presented in this module10分钟
Download the IPython Notebook used in this lesson to follow along10分钟
Reading: Retrieving Wikipedia articles assignment10分钟
2 个练习
Clustering and Similarity12分钟
Retrieving Wikipedia articles18分钟
4.6
2093 个审阅Chevron Right

34%

完成这些课程后已开始新的职业生涯

32%

通过此课程获得实实在在的工作福利

来自机器学习基础:案例研究的热门评论

创建者 PMAug 19th 2019

The course was well designed and delivered by all the trainers with the help of case study and great examples.\n\nThe forums and discussions were really useful and helpful while doing the assignments.

创建者 BLOct 17th 2016

Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much

讲师

Avatar

Carlos Guestrin

Amazon Professor of Machine Learning
Computer Science and Engineering
Avatar

Emily Fox

Amazon Professor of Machine Learning
Statistics

关于 华盛顿大学

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world....

关于 机器学习 专项课程

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data....
机器学习

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