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Ask HN: I want to learn Deep learning / machine learning

15 points by uptownhr 12y ago

I'm a software engineer, mainly focused on apps and web development. In the past 2 years, I've been constantly bombarded with Machine learning and now, Deep Learning. I can only assert that this is a field that is growing and growing exponentially. I would love to get into this field and any suggestions / recommendations on getting started would be appreciated! Any pre-requisites needed to get started would be a big bonus. Not being in the field, I actually do not even know what the technical requirements are. I also plan on creating a github repo listing all the resources and guides. Please help.

haidrali 12y ago
Enroll this course about NLP and Deep Learning at Stanford http://cs224d.stanford.edu/ http://cs224d.stanford.edu/
- uptownhr 12y ago
  Thanks. Seems like the class will be available online. Is that the case?
  - uptownhr 12y ago
    Also know of any classes in Southern Cal by any chance?
uptownhr 12y ago
Found a resource that was posted on HN before. https://darshanhegde.wordpress.com/2014/08/19/learn-machine-learning-the-hard-way/ https://darshanhegde.wordpress.com/2014/08/19/learn-machine-...
tienthanh8490 12y ago
http://karpathy.github.io/neuralnets/ http://karpathy.github.io/neuralnets/ http://jmozah.github.io/links/ http://jmozah.github.io/links/ https://github.com/ChristosChristofidis/awesome-deep-learning https://github.com/ChristosChristofidis/awesome-deep-learnin... http://metacademy.org/roadmaps/ http://metacademy.org/roadmaps/ http://cs231n.stanford.edu/ http://cs231n.stanford.edu/ https://class.coursera.org/neuralnets-2012-001 https://class.coursera.org/neuralnets-2012-001
yen223 12y ago
Take it from me: Before you jump headfirst into machine learning, take a refresher course on Linear Algebra. Make sure you are very comfortable working with matrices and vectors.
arshakn 12y ago
Startup.ML has a fellowship program focused on practical experience of building real-world ML applications: http://Startup.ML/blog/fellowship http://Startup.ML/blog/fellowship
erogol 12y ago
You can also check this : http://www.erogol.com/machine-learning-pathway/ http://www.erogol.com/machine-learning-pathway/
kjain 12y ago
I would recommend going through the CalTech Course - Learning from Data run by Yasir Abu Mustafa as the first step. https://www.edx.org/course/learning-data-caltechx-cs1156x#.VQB5M_mUdlo https://www.edx.org/course/learning-data-caltechx-cs1156x#.V... It is one of the best places to start. Please see that the course will require you to spend considerable time. If you find this challenging, you can also look at the Machine Learning class by Andrew Ng on Coursera. Once you have undergone these courses, you can take up Coursera course on Neural Nets or look at tutorials on deeplearning.net

15 points by uptownhr 12y ago

haidrali 12y ago

Enroll this course about NLP and Deep Learning at Stanford http://cs224d.stanford.edu/ http://cs224d.stanford.edu/

uptownhr 12y ago
Thanks. Seems like the class will be available online. Is that the case?
- uptownhr 12y ago
  Also know of any classes in Southern Cal by any chance?

uptownhr 12y ago

Found a resource that was posted on HN before. https://darshanhegde.wordpress.com/2014/08/19/learn-machine-learning-the-hard-way/ https://darshanhegde.wordpress.com/2014/08/19/learn-machine-...

tienthanh8490 12y ago

http://karpathy.github.io/neuralnets/ http://karpathy.github.io/neuralnets/ http://jmozah.github.io/links/ http://jmozah.github.io/links/ https://github.com/ChristosChristofidis/awesome-deep-learning https://github.com/ChristosChristofidis/awesome-deep-learnin... http://metacademy.org/roadmaps/ http://metacademy.org/roadmaps/ http://cs231n.stanford.edu/ http://cs231n.stanford.edu/ https://class.coursera.org/neuralnets-2012-001 https://class.coursera.org/neuralnets-2012-001

yen223 12y ago

Take it from me: Before you jump headfirst into machine learning, take a refresher course on Linear Algebra. Make sure you are very comfortable working with matrices and vectors.

arshakn 12y ago

Startup.ML has a fellowship program focused on practical experience of building real-world ML applications: http://Startup.ML/blog/fellowship http://Startup.ML/blog/fellowship

erogol 12y ago

You can also check this : http://www.erogol.com/machine-learning-pathway/ http://www.erogol.com/machine-learning-pathway/

kjain 12y ago

I would recommend going through the CalTech Course - Learning from Data run by Yasir Abu Mustafa as the first step. https://www.edx.org/course/learning-data-caltechx-cs1156x#.VQB5M_mUdlo https://www.edx.org/course/learning-data-caltechx-cs1156x#.V... It is one of the best places to start. Please see that the course will require you to spend considerable time. If you find this challenging, you can also look at the Machine Learning class by Andrew Ng on Coursera. Once you have undergone these courses, you can take up Coursera course on Neural Nets or look at tutorials on deeplearning.net