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Hacker News Comments on
Structuring Machine Learning Projects

Coursera · deeplearning · 3 HN comments

HN Academy has aggregated all Hacker News stories and comments that mention Coursera's "Structuring Machine Learning Projects" from deeplearning.
Course Description

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how.

Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience.

After 2 weeks, you will:

- Understand how to diagnose errors in a machine learning system, and

- Be able to prioritize the most promising directions for reducing error

- Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance

- Know how to apply end-to-end learning, transfer learning, and multi-task learning

I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time.

This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization.

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Provider Info
This course is offered by deeplearning on the Coursera platform.
HN Academy may receive a referral commission when you make purchases on sites after clicking through links on this page. Most courses are available for free with the option to purchase a completion certificate.
See also: all Reddit discussions that mention this course at reddsera.com.

Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this url.
No it works perfectly well. It worked brilliantly with Siri and had done for years before. People talking about it in the same room is an inconvenience to overcome.

It's possible that Google copied Baidu, which used "Ni hao baidu" [0] is the only thing I can think of.

[0]: https://www.coursera.org/learn/machine-learning-projects/lec... (see the video transcript)

There are several courses in this specialization. Only 3 are currently available for enrollment right now.

You can get the course material for free, but won't be able to get assignments graded.

Below are links for all of the courses.

Course 1: https://www.coursera.org/learn/neural-networks-deep-learning

Course 2: https://www.coursera.org/learn/deep-neural-network

Course 3: https://www.coursera.org/learn/machine-learning-projects

Course 4: https://www.coursera.org/learn/convolutional-neural-networks

Course 5: https://www.coursera.org/learn/nlp-sequence-models

To get the course material, you go to each course link and click on "Enroll". Then look for the "Audit" link at the bottom left of the modal dialog that comes up.

For those who are unfamiliar with coursera or interested in just the videos (and NO certificate) you can enroll in "AUDIT" mode:

AUDIT MODE: http://image.ibb.co/iwm0xF/ng.png

The deep-learning course consist of 5 subcourses:

https://www.coursera.org/learn/neural-networks-deep-learning

https://www.coursera.org/learn/deep-neural-network

https://www.coursera.org/learn/machine-learning-projects

https://www.coursera.org/learn/convolutional-neural-networks

https://www.coursera.org/learn/nlp-sequence-models

The deep-learning course is a different course than the prerequisite machine-learning course:

https://www.coursera.org/learn/machine-learning

⬐ forgotmysn
fast.ai also has a quality ML course
⬐ supermdguy
I love fast.ai's course, but I also appreciate having a solid and thorough free machine learning course. While fast.ai is good for getting onto the cutting edge of deep learning quickly, it doesn't go through a lot of material that most people in the machine learning industry are assumes to know.
⬐ smithsmith
Can the certificate be received by completing the course in audit mode and then paying at the end of the course.
⬐ flor1s
Thanks for the links! It seems like you can already browse the lecture videos of the first three courses!
⬐ ryanschneider
BTW, if you want to audit, you need to search for each course individually (or click seycombi's links above) and click the Enroll button there, there's no Audit option if you click Enroll on the full Specialization.
⬐ jjuel
Thank you for pointing this out! Was looking for the way to just audit it and could not figure it out.
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