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

3,265 個評分
540 條評論


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)....



Jun 15, 2020

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 :)


Oct 16, 2016

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!


251 - Machine Learning: Classification 的 275 個評論(共 509 個)

創建者 Rishabh J

Dec 19, 2016

Amazing course, Amazing teaching.


May 29, 2020


創建者 Fernando B

Feb 21, 2017

Best Course on ML yet on the Web

創建者 Pranas B

Jul 01, 2016

Good practice and bit of theory.

創建者 Andrew M O

Jun 15, 2016

I came here to learn. I learned.

創建者 zhenyue z

Jun 03, 2016

good lecture, good for everyone.

創建者 Manuel T F

Jul 21, 2017

Really great course. Well done!


Jun 14, 2017

Best ML course I've ever taken!

創建者 Sandeep K S

May 07, 2016

awesome course awesome teachers

創建者 Vijai K S

Mar 05, 2016

Heck yeah!! its finally here :D

創建者 Vinothkumar

Jul 11, 2020

Very useful learning platform.

創建者 Jinho L

Jul 20, 2016

Very pragmatic and interesting

創建者 Snehotosh K B

Mar 20, 2016

Excellent and very intuitive.

創建者 Neemesh J

Oct 28, 2019

Awesome learning experience.

創建者 Fan J

Aug 04, 2019

good content, help me a lot!

創建者 Mike M

Jul 16, 2016

Learned a lot, great course!

創建者 Dwayne E

Dec 21, 2016

Awesome course learned alot

創建者 Rui W

Sep 13, 2016

So cool and much practical.

創建者 kumar A

Jun 05, 2018

great course for beginners

創建者 Lixin L

May 07, 2017

really good course. thanks

創建者 MRS. G

May 09, 2020


創建者 Satish K D

Feb 03, 2019

it was easy to understand

創建者 FanPingjie

Dec 09, 2018

useful and helpful course

創建者 Lars N

Oct 04, 2016

Best course taken so far!

創建者 Venkata D

Apr 14, 2016

Great course and learning