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返回到 Machine Learning Foundations: A Case Study Approach

学生对 University of Washington 提供的 Machine Learning Foundations: A Case Study Approach 的评价和反馈

4.6
13,543 个评分

课程概述

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms. Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications. Learning Outcomes: By the end of this course, you will be able to: -Identify potential applications of machine learning in practice. -Describe the core differences in analyses enabled by regression, classification, and clustering. -Select the appropriate machine learning task for a potential application. -Apply regression, classification, clustering, retrieval, recommender systems, and deep learning. -Represent your data as features to serve as input to machine learning models. -Assess the model quality in terms of relevant error metrics for each task. -Utilize a dataset to fit a model to analyze new data. -Build an end-to-end application that uses machine learning at its core. -Implement these techniques in Python....

热门审阅

SS

May 18, 2020

The course was very informative but I face a lot of problems in installing Graphlab and Turicreate. I request the Mentors please use the Pandas data frame in place of SFrame. The mentors are cool.

MK

Jul 20, 2019

A great course, really designed to understand the underlying core concepts of machine learning using real-life examples which takes you through all that with little to no programming skills required!

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776 - Machine Learning Foundations: A Case Study Approach 的 800 个评论(共 3,159 个)

创建者 Francisco C

Mar 20, 2017

Buen curso, muy fácil de digerir por la metodología utilizada, permite introducirse de buena manera al tema machine learning.

创建者 andreas c c

Mar 15, 2017

I really enjoyed the course! IVery practical and straightforward,we dive to Ml right away.

Amazing instractors and very funny.

创建者 Johannes C

Oct 1, 2016

The hands-on exercises were really fun and brought a lot of insight. The material was presented in a very understandable way.

创建者 Adriana M R C

May 9, 2016

I truly enjoyed this course, its "case study" approach and its "hands on" learning activities. I expect to continue this spec

创建者 Mark T

Dec 31, 2015

Awesome material and organization. Also, real fun chemistry between the two instructors (they MUST be married or something!)

创建者 Vikash C S

Nov 15, 2015

I am currently taking this course and I find this approach (case study approach) very effective in learning on MOOC platform.

创建者 Shyam S K (

Sep 29, 2015

The Best Thing About Case Based Study is That You See The Things Actually Happening And Nothing Feels More Good Than That :))

创建者 Alejandro A J

May 25, 2021

Great course, it shows the basics of machine learning with several assingments that are enough to prove what you have learn.

创建者 Praveen B

Nov 27, 2018

The professors have taken it in a fun filled way. The material is also very interesting. This is an experience worth having.

创建者 Kurt K

Dec 24, 2015

Good introduction course providing nice overview of topics to be seen more in detail in the remaining of the specialization.

创建者 Rowen

Oct 28, 2015

Teachers are really nice. Materials and the teaching are fantastic, I really learned a lot from this course. Thanks so much.

创建者 Rubén A S M

Oct 7, 2015

Amazing and very entertaining introduction to Machine Learning. It has interesting labs and the theory is explained clearly.

创建者 DANIEL R

Jul 13, 2020

it was a really good course with practical examples. I Recommend to all those who wants to get into machine learning world!

创建者 Narayana S A

May 31, 2020

Incredible course, super cool instructors, worth taking every bit. Thanks to both the instructors. Turicreate used is good.

创建者 biqing w

May 7, 2020

give a clear big picture of different models in machine learning on a vivid way by solving practical problem in daily work.

创建者 Siyue

Sep 28, 2017

Great lecture and clear demonstration in both theoretical and practical manner! I will recommend this course to my friends!

创建者 Nikhil J

Feb 24, 2016

The Case study approach helped me quickly get an overview of the usage of Machine Learning techniques in a very short time!

创建者 何振炜

Feb 21, 2016

It's pretty good class that give a quick understanding of what Machine Learning is. It simple but not easy. Really amazing!

创建者 Chaitanya B

Nov 21, 2015

A good overview of all different classes of algorithms. More engineering oriented than math / statistics behind the scenes.

创建者 Ziliang W

Oct 16, 2015

Fantastic course, the professors are awesome, the assignments are great, cannot wait to see the upcoming following courses.

创建者 Saurabh A

Jul 9, 2020

good, but it was very difficult to install turicreate and other required tools. please provide a dedicated video for that.

创建者 Chao T

Jan 7, 2020

This course is great. I have a good understanding of Machine Learning concepts and algorithms during this studying period.

创建者 xncoursera

Aug 21, 2019

This course is my first course in the direction of machine learning, it has a great impact on me, I learned a lot from it.

创建者 刘扬

Aug 8, 2017

直接上案例,通过案例与常用算法进行结合,使得我们理解算法更加直观有效,后续课程应该是要对本课中提到的算法进行详解,通过这种方式,能够首先打下直观理解的基础,再通过细致研究,这种自上而下的方式使得我们对机器学习的整个框架达到一个更高的level。

创建者 Juliane H

Jul 26, 2017

Really enjoyed the course, might be low demanding if you habe prior python/statistic knowledge, but still great for noobs!