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Udacity: Online Deep Learning Course by Google

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Udacity is offering a Online Deep Learning Course by Google for Free. Thanks TekkenLord

Note, click "Start Free Course" to get started. You will need to create a Udacity account (free to join) to have full access to the course. This is a intermediate to advanced level course, so it is recommended that you have minimum 2 years of programming experience (refer to Prerequisites and Requirements section for more details).
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This course based on machine learning is instructed by Vincent Vanhouche and takes roughly 3 months to complete (at 6hrs/week). More information about the course can be found in this Time Magazine article. -johnny_miller

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Edited January 23, 2016 at 06:29 PM by
Enjoy,

This stuff is not your normal cup of tea.

Link:
https://www.udacity.com/course/de...ing--ud730

Source:
http://time.com/4190584/google-fr...-learning/
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Created 01-23-2016 at 02:49 PM by TekkenLord
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129 Comments

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This is an intermediate to advanced level course. Prior to taking this course, and in addition to the prerequisites and requirements outlined for the Machine Learning Engineer Nanodegree program, you should possess the following experience and skills:

Minimum 2 years of programming experience (preferably in Python)
Git and GitHub experience (assignment code is in a GitHub repo)
Basic machine learning knowledge (especially supervised learning)
Basic statistics knowledge (mean, variance, standard deviation, etc.)
Linear algebra (vectors, matrices, etc.)
Calculus (differentiation, integration, partial derivatives, etc.)

This eliminates me
41 Helpful?
For machine learning, I think people should check out courses from coursera
https://www.coursera.org/

The machine learning course from Stanford
and
Probabilistic Graphical Models
unfortunately PGM no longer offer new course enrollment but you can go enroll previous session and check up the video.
Daphne Koller and Andrew Ng are founders of coursera and they are both expert in machine learning .

I think the Machine Learning course is probably the prequest for this Google course.
9 Helpful?
Aaaaannd....I'm out. Thanks.
6 Helpful?

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#3
thanks and repped
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#4
for 2016, I want to realize stuff.
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#5
This is an intermediate to advanced level course. Prior to taking this course, and in addition to the prerequisites and requirements outlined for the Machine Learning Engineer Nanodegree program, you should possess the following experience and skills:

Minimum 2 years of programming experience (preferably in Python)
Git and GitHub experience (assignment code is in a GitHub repo)
Basic machine learning knowledge (especially supervised learning)
Basic statistics knowledge (mean, variance, standard deviation, etc.)
Linear algebra (vectors, matrices, etc.)
Calculus (differentiation, integration, partial derivatives, etc.)

This eliminates me
Reply Helpful Comment? 42 1
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#6
sure are a lot of people liking this.
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#7
Quote from chipmonkey
:
This is an intermediate to advanced level course. Prior to taking this course, and in addition to the prerequisites and requirements outlined for the Machine Learning Engineer Nanodegree program, you should possess the following experience and skills:

Minimum 2 years of programming experience (preferably in Python)
Git and GitHub experience (assignment code is in a GitHub repo)
Basic machine learning knowledge (especially supervised learning)
Basic statistics knowledge (mean, variance, standard deviation, etc.)
Linear algebra (vectors, matrices, etc.)
Calculus (differentiation, integration, partial derivatives, etc.)

This eliminates me
Thanks for posting this. Definitely above my paygrade as well.
Reply Helpful Comment? 0 0
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Our community has rated this post as helpful. If you agree, why not rep keung?
#8
Quote from TekkenLord
:
Enjoy,

This stuff is not your normal cup of tea.

Link:
https://www.udacity.com/course/de...ing--ud730

Source:
http://time.com/4190584/google-fr...-learning/
For machine learning, I think people should check out courses from coursera
https://www.coursera.org/

The machine learning course from Stanford
and
Probabilistic Graphical Models
unfortunately PGM no longer offer new course enrollment but you can go enroll previous session and check up the video.
Daphne Koller and Andrew Ng are founders of coursera and they are both expert in machine learning .

I think the Machine Learning course is probably the prequest for this Google course.
Reply Helpful Comment? 9 0
Last edited by keung January 23, 2016 at 07:02 PM.
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HIDDEN User339811 01-23-2016 at 10:30 PM
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Our community has rated this post as helpful. If you agree, why not rep FBomb?
#10
Quote from chipmonkey
:
This is an intermediate to advanced level course. Prior to taking this course, and in addition to the prerequisites and requirements outlined for the Machine Learning Engineer Nanodegree program, you should possess the following experience and skills:

Minimum 2 years of programming experience (preferably in Python)
Git and GitHub experience (assignment code is in a GitHub repo)
Basic machine learning knowledge (especially supervised learning)
Basic statistics knowledge (mean, variance, standard deviation, etc.)
Linear algebra (vectors, matrices, etc.)
Calculus (differentiation, integration, partial derivatives, etc.)

This eliminates me
Aaaaannd....I'm out. Thanks.
Reply Helpful Comment? 7 1
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HIDDEN SweetStation 01-23-2016 at 10:34 PM
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#12
I saw free. I got excited. Nothing here for me ...
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#13
thanks
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#14
Quote from SweetStation
:
They are teaching an advanced course such as this but can't even fix the bugs in their software in a timely manner. Nice.
I guess they need to teach the machine to fix its own bugs. Smilie
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#15
cool!!!
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