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Opiniones y comentarios de aprendices correspondientes a Machine Learning: Classification por parte de Universidad de Washington

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3,667 calificaciones
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605 reseña

Acerca del Curso

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)....

Principales reseñas

SM

14 de jun. de 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 :)

SS

15 de oct. de 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!

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326 - 350 de 574 revisiones para Machine Learning: Classification

por Roger S

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4 de sep. de 2016

This course is COOL

por Ankit S

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8 de jun. de 2016

Really nice course!

por N P

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20 de jul. de 2020

wonderful lectures

por Mrs. G A D

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13 de may. de 2020

Wonderful learning

por Sandeep J

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4 de sep. de 2016

Its s great course

por Kurt K

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16 de abr. de 2016

Excellent course !

por DEEPAK P

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6 de jun. de 2020

ULTIMATE TEACHING

por Aparna g

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30 de ene. de 2020

very Good Concept

por Germanno T

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4 de dic. de 2019

Excellent Course!

por Miguel Á B P

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21 de may. de 2019

Excellent course!

por parv j

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3 de mar. de 2019

Brilliant course!

por Mayank C

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12 de abr. de 2018

Loved this course

por Matt Y

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10 de mar. de 2018

Simply excellent!

por Jonathan H

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16 de jun. de 2017

Excellent course!

por Le D L

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2 de may. de 2017

Lots of knowledge

por Prabal T

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5 de oct. de 2016

Excellent course!

por André F d A F C

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25 de jul. de 2016

Excellent course.

por V S

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28 de abr. de 2016

Best course ever!

por Huynh L D

•

10 de mar. de 2016

Awesooommmmeeeeee

por VijayaLakshmi A

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10 de ago. de 2021

Good explanation

por Sukhvir S

•

10 de jul. de 2020

Great Experience

por Phan T B

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17 de abr. de 2016

Very good course

por Michelle B

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15 de jul. de 2021

Well explained.

por PUNEET K G

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1 de ago. de 2020

best course....

por Jesús U S

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26 de jun. de 2020

Awesome Course!

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