HTM/NN and Semantic Embedding, word-2-vec

The ideal candidate has strong Node + Math + Machine learning experience.

You have a track record of passion in the areas of clustering problems, and machine learning models which mimic the human brain when it comes to language understanding.

We are serious about hiring someone for this job, and to make them part of our core team. If you have the passion, skill and availability, please apply. We have some incredible innovations, so if you are ready to change the world and you have what it takes, please send me your resume. We need full-time availability for this gig.

HTM approach - Implementation Order & Methodology:

1. Implement a fast and efficient HTM in Node.JS from scratch

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2. Identify and prepare a training corpus for step 3.

3. Apply semantic folding to your HTM implementation

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4. Implement semantic fingerprinting (SF) routines in Node:

+ create sparse binary vectors employing two-dimensional topographic semantic space

+ calculate distance between semantic spaces

5. Implement our cutting-edge applications on top of the Node SF routines.

NN Approach - Implementation

1. collect data and train NN model in Tensorflow, vector operations in Node.

2. implement word-2-vec etc operations in node (or leverage MIT/apache2 licensed libs)

Further references:

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Try demos of such implementation in action:

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Project Type: Ongoing project

You will be asked to answer the following questions when submitting a proposal:

1. What is the semantic folding theory, and how does it mimic the human brain?

2. HTMs are difficult data structures to model in Node.JS. I am interested to hear your thoughts on how you'd approach it.

3. Have you implemented clustering solutions before? Tell me about it.

4. Have you worked in natural language processing area before in the context of big data? Tell me more about it.

5. After looking through the examples above, do you think NN or HTM is the better approach?

6. Please tell me a little about your academic background in mathematics, and your professional background in machine learning.

Kemahiran: Kecerdasan Buatan, Javascript, Pembelajaran Mesin, node.js

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Tentang Majikan:
( 42 ulasan ) KINGWOOD, United States

ID Projek: #15798208

13 pekerja bebas membida secara purata $37/jam untuk pekerjaan ini

$41 USD / jam
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Dear Client. I have carefully gone through your project and noticed that you are finding a AngularJS expert. I am highly experienced with Angular, MongoDb, Express, and NodeJS. This is my past work of angular. - Lagi

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I have good experience for node js,javascript app development. I can build you htm approach that is implementation of Order&Methodology. Let's discuss more in PM.

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Hi, Greetings for the day, We do understand your needs and would love to help you out on this one. We have been developing/maintaining various web applications in NodeJS (both Express and Sails). Mostly these Lagi

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Hi, ➲ 4+ years of full-time experience in Node.js, Angular.js. 12 years Development experience with 50,000+ Upwork hours billed ➲ Upwork Top 10 Certification for Node.js ➲ Guaranteed Results Policy: Pay only if you Lagi

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Greetings 1. The semantic folding theory allows to present a word as a binary combination of contexts. Where a context consists of a bunch of words which are very close in meaning. This representation, as suggested by Lagi

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Hello. I am expert node developer. I am also AI expert since university. So I am keen interested in this job. I am also serious man. Please contact me and I will share my cv. Thanks.

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Dear Client. I have carefully gone through your project and noticed that you are finding a AngularJS expert. I am highly experienced with Angular, MongoDb, Express, and NodeJS. This is my past work of angular. h Lagi

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Hey, how is it going today? My name is Michael, I'm a web designer/developer from Boston. I've had a look at your project description and feel that my skills match your requirements perfectly. In fact, I did a very sim Lagi

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