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Machine Learning: Classification(으)로 돌아가기

워싱턴 대학교의 Machine Learning: Classification 학습자 리뷰 및 피드백

4.7
별점
3,670개의 평가

강좌 소개

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)....

최상위 리뷰

SM

2020년 6월 14일

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

2016년 10월 15일

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!

필터링 기준:

Machine Learning: Classification의 575개 리뷰 중 301~325

교육 기관: Lixin L

2017년 5월 7일

really good course. thanks

교육 기관: MRS. G

2020년 5월 9일

GREAT LEARNING EXPERIENCE

교육 기관: Satish K D

2019년 2월 3일

it was easy to understand

교육 기관: FanPingjie

2018년 12월 9일

useful and helpful course

교육 기관: Lars N

2016년 10월 4일

Best course taken so far!

교육 기관: Venkata D

2016년 4월 14일

Great course and learning

교육 기관: Brian N

2018년 5월 20일

Nice to learn this topic

교육 기관: Mark h

2017년 7월 27일

Very Helpful Material!!!

교육 기관: Shiva R

2017년 4월 16일

Exceptional and Intutive

교육 기관: Shanchuan L

2016년 12월 7일

This is a perfect course

교육 기관: Changik C

2016년 10월 25일

Learned a lot recommend!

교육 기관: Alexander S

2016년 8월 7일

one of the best courses.

교육 기관: Yacine M T

2019년 7월 31일

Very helpful. Thank you

교육 기관: Fakhre A

2017년 2월 17일

Outstanding Course.....

교육 기관: Weituo H

2016년 3월 14일

Useful and interesting~

교육 기관: Gaurav K

2020년 9월 19일

Very good course to do

교육 기관: GURUSUBRAMANI. S

2020년 5월 24일

Excellent Course.....

교육 기관: Kevin Y

2017년 6월 26일

Very good instructors

교육 기관: Sami A

2016년 5월 20일

The best in the field

교육 기관: stephon_lu

2017년 12월 23일

very good! thank you

교육 기관: Michael P

2016년 12월 6일

Awesome, not awful;)

교육 기관: 쥬

2016년 6월 30일

It's very practical.

교육 기관: AJAY K

2019년 10월 13일

Excellent tutorials

교육 기관: Muhammad Z H

2019년 8월 30일

I have learned alot

교육 기관: Luis E T N

2017년 7월 4일

Excelent! Congrats!