你是否好奇数据可以告诉你什么？你是否想在关于机器学习促进商业的核心方式上有深层次的理解？你是否想能同专家们讨论关于回归，分类，深度学习以及推荐系统的一切？在这门课上，你将会通过一系列实际案例学习来获取实践经历。在这门课结束的时候，

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來自 University of Washington 的課程

机器学习基础：案例研究

8136 個評分

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你是否好奇数据可以告诉你什么？你是否想在关于机器学习促进商业的核心方式上有深层次的理解？你是否想能同专家们讨论关于回归，分类，深度学习以及推荐系统的一切？在这门课上，你将会通过一系列实际案例学习来获取实践经历。在这门课结束的时候，

從本節課中

Welcome

Machine learning is everywhere, but is often operating behind the scenes. <p>This introduction to the specialization provides you with insights into the power of machine learning, and the multitude of intelligent applications you personally will be able to develop and deploy upon completion.</p>We also discuss who we are, how we got here, and our view of the future of intelligent applications.

- Carlos GuestrinAmazon Professor of Machine Learning

Computer Science and Engineering - Emily FoxAmazon Professor of Machine Learning

Statistics

[MUSIC]

Let's take a little pause and

spend some time talking about who the specialization is geared for.

Well, the first thing I want to emphasize is the level of the specialization.

And what we're going to do here is we're going to teach you

really important machine learning methods, but we're going to ground them in

real world applications like we saw with our case studies.

So a model that we have here is tough concepts made intuitive and applicable.

So this course isn't going to be about theorem proving.

It's going to be about understanding at a very intuitive and

practical level some very important machine learning algorithms and

thinking about ways in which to deploy them in new problems.

And when we're going about this, our goals here are to minimize the amount of

prerequisite knowledge that you have to have to understand what we're presenting,

while maximizing the ability for you to actually develop and

deploy these methods on new problems that are of interest to you.

And when we're thinking about this, we're going to be presenting concepts

at this very intuitive level that's grounded in these case studies.

So who might you be?

Well, when we're thinking about the target audience,

we're thinking about software engineers who are interested in machine learning.

We're thinking about scientists who might want to become data scientists.

And we're thinking about lots and lots and lots of other people who have some math,

some programming experience, and want to be able to analyze data and

do fun things with it, so just data enthusiasts who want to learn more about

machine learning and how to derive intelligence from data.

Okay.

So I said that we're assuming you have some math and

some programming background, so let's talk about this in a little bit more detail.

In terms of the math background,

we're assuming that you have some basic calculus knowledge.

So that's understanding the notion of derivatives and

how they're computed and basic linear algebra.

So you guys should know what a vector is, what a matrix is, and

how to multiply matrices.

But in these cases, we're really as

often as possible going to present things at the most intuitive level.

Even if we could write down an equation in terms of matrices and matrix multiplies,

we're going to try and add as many visual aids as possible to provide you with that

intuition, so that if you're only marginally comfortable with these ideas,

I do suggest that you go brush up on these concepts.

But, again, we're going to try and

provide the intuition that we described as part of our motto.

And in terms of programming experience,

in this specialization we're going to be using Basic Python for programing.

But if you're not familiar with Python, it would, of course,

be helpful if you were familiar with Basic Python.

But we think that you can pick up on the important tools that you'll need

if you have some other knowledge of some other language.

Okay. So finally,

what are your computing needs for this course?

Well, we're going to assume that you have some basic desktop or laptop or

access to one where you can access the Internet.

Of course, that's important so you can watch these lovely videos, but

beyond that so you can do your assignments.

And to do your assignments, you're going to need to be able to install and

run Python.

And in addition, you're going to be able,

you're going to have to be able to store a few gigabytes of data.

Okay. So

that basically summarizes what we have in mind for who this specialization is for.

And we hope that fits your case.

[MUSIC]