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返回到 Machine Learning: Classification

學生對 华盛顿大学 提供的 Machine Learning: Classification 的評價和反饋

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3,670 個評分

課程概述

Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank. These tasks are an examples of classification, one of the most widely used areas of machine learning, with a broad array of applications, including ad targeting, spam detection, medical diagnosis and image classification. In this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks. You will become familiar with the most successful techniques, which are most widely used in practice, including logistic regression, decision trees and boosting. In addition, you will be able to design and implement the underlying algorithms that can learn these models at scale, using stochastic gradient ascent. You will implement these technique on real-world, large-scale machine learning tasks. You will also address significant tasks you will face in real-world applications of ML, including handling missing data and measuring precision and recall to evaluate a classifier. This course is hands-on, action-packed, and full of visualizations and illustrations of how these techniques will behave on real data. We've also included optional content in every module, covering advanced topics for those who want to go even deeper! Learning Objectives: By the end of this course, you will be able to: -Describe the input and output of a classification model. -Tackle both binary and multiclass classification problems. -Implement a logistic regression model for large-scale classification. -Create a non-linear model using decision trees. -Improve the performance of any model using boosting. -Scale your methods with stochastic gradient ascent. -Describe the underlying decision boundaries. -Build a classification model to predict sentiment in a product review dataset. -Analyze financial data to predict loan defaults. -Use techniques for handling missing data. -Evaluate your models using precision-recall metrics. -Implement these techniques in Python (or in the language of your choice, though Python is highly recommended)....

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SM

2020年6月14日

A very deep and comprehensive course for learning some of the core fundamentals of Machine Learning. Can get a bit frustrating at times because of numerous assignments :P but a fun thing overall :)

SS

2016年10月15日

Hats off to the team who put the course together! Prof Guestrin is a great teacher. The course gave me in-depth knowledge regarding classification and the math and intuition behind it. It was fun!

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301 - Machine Learning: Classification 的 325 個評論（共 575 個）

創建者 Lixin L

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2017年5月7日

really good course. thanks

創建者 MRS. G

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2020年5月9日

GREAT LEARNING EXPERIENCE

創建者 Satish K D

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2019年2月3日

it was easy to understand

創建者 FanPingjie

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2018年12月9日

useful and helpful course

創建者 Lars N

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2016年10月4日

Best course taken so far!

創建者 Venkata D

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2016年4月14日

Great course and learning

創建者 Brian N

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2018年5月20日

Nice to learn this topic

創建者 Mark h

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2017年7月27日

Very Helpful Material!!!

創建者 Shiva R

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2017年4月16日

Exceptional and Intutive

創建者 Shanchuan L

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2016年12月7日

This is a perfect course

創建者 Changik C

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2016年10月25日

Learned a lot recommend!

創建者 Alexander S

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2016年8月7日

one of the best courses.

創建者 Yacine M T

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2019年7月31日

Very helpful. Thank you

創建者 Fakhre A

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2017年2月17日

Outstanding Course.....

創建者 Weituo H

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2016年3月14日

Useful and interesting~

創建者 Gaurav K

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2020年9月19日

Very good course to do

創建者 GURUSUBRAMANI. S

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2020年5月24日

Excellent Course.....

創建者 Kevin Y

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2017年6月26日

Very good instructors

創建者 Sami A

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2016年5月20日

The best in the field

創建者 stephon_lu

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2017年12月23日

very good! thank you

創建者 Michael P

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2016年12月6日

Awesome, not awful;)

創建者 쥬

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2016年6月30日

It's very practical.

創建者 AJAY K

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2019年10月13日

Excellent tutorials

創建者 Muhammad Z H

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2019年8月30日

I have learned alot

創建者 Luis E T N

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2017年7月4日

Excelent! Congrats!

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