Hi Kumari,

This is the video I recommend after reading the CLA Whitepaper. This video
to me fully describes the actual flow of data through the various
algorithms - and is extremely helpful. Beginners HTM Theory Video
<https://www.youtube.com/watch?v=z6r3ekreRzY>

In addition, I have a blog here: http://cogmission.ai that has a collection
of very useful links to all sorts of learning and community resources
(check the top of the landing page). You may also find the blog itself to
be an interesting resource.

Cheers,
David

On Sat, Jan 9, 2016 at 12:48 AM, Joseph Rocca <[email protected]>
wrote:

> Welcome, Kumari! I found this video very helpful when I was starting out:
> http://numenta.com/learn/principles-of-hierarchical-temporal-memory.html
>
> There's also a bunch more on youtube.
>
> Cheers,
> Joe
>
> On Sat, Jan 9, 2016 at 4:33 PM, Jonathan Mackenzie <[email protected]>
> wrote:
>
>> What's your existing knowledge of machine learning? If you're just
>> starting out, you might want to look into simpler models like SVM and
>> simple neural networks.
>>
>> On 9 January 2016 at 14:01, Sebastián Narváez <[email protected]>
>> wrote:
>>
>>> I think that the HTM Whitepaper is a very good tool to get a good grasp
>>> on what Numenta and Nupic are about.
>>>
>>> http://numenta.com/learn/hierarchical-temporal-memory-white-paper.html
>>>
>>> On Thu, Jan 7, 2016 at 2:58 PM, Jeff Fohl <[email protected]> wrote:
>>>
>>>> Hello Kumari -
>>>>
>>>> This is probably the best place to start:
>>>> https://github.com/numenta/nupic/wiki
>>>>
>>>> - Jeff
>>>>
>>>> On Thu, Jan 7, 2016 at 11:57 AM Kumari Shalini <[email protected]>
>>>> wrote:
>>>>
>>>>> Hi,
>>>>>
>>>>> I'm a final year student and willing to learn machine learning using
>>>>> numenta. I googled a lot but not able to find numenta docs properly.
>>>>> So, please help me to get started or provide me some proper docs links.
>>>>>
>>>>> --
>>>>> Kumari Shalini
>>>>>
>>>>
>>>
>>
>>
>> --
>> *Jonathan Mackenzie*
>> BEng (Software) Hons
>> PhD Candidate, Flinders University
>>
>
>


-- 
*With kind regards,*

David Ray
Java Solutions Architect

*Cortical.io <http://cortical.io/>*
Sponsor of:  HTM.java <https://github.com/numenta/htm.java>

[email protected]
http://cortical.io

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