Artificial Neural Networks Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $1,000 - Posted
Looking for a experienced data scientist with knowledge of Convolutional Neural Networks and Recurrent Neural Network, K-Means clustering. Also desirable if s/he has experience working with Deeplearning4j, wordvec, The project is to - Identify and extract text (short text) from an image (survey forms) - Extract meaning out of these texts - Map this text to predefined questions in database. - Identify answers fields and suggest location and related question of each field. - Train the model. Ideally the algorithms needs to be implemented in Java.
Skills: Artificial Neural Networks Java Machine learning
Fixed-Price - Intermediate ($$) - Est. Budget: $500 - Posted
We're building a chatbot to help people learn english. It runs on chat platforms like Facebook messenger, wechat, telegram. Currently we have live teachers chatting with students. I want to automate the process of matching user comments to suitable replies. We have a "training set" of previous conversations. We want to use this to try and automate the conversations with the teachers. The first layer could perhaps just "suggest" replies, next layer would be to send the reply right away if we have a high enough confidence level. I understand we could do this with a classifier, or a simple neural network. I'm looking for advice on designing a system that would enable this, and for someone to implement a first working build. If suitable, we could use the "NLP as a service" cloud products out there, or else an open source library running internally. Our web app is built in javascript. Since this seems like a fairly basic NLP application we could perhaps even use some of the JS ML APIs, even though it's not the most popular language for these. Or this feature could just be a separate web service that is standalone that provides a service API to our main application. Please write back with info on similar projects you've built, a general outline on what tech you would use to solve the problem, and any questions you would need me to answer to be able to estimate a time and cost for developing this feature. I would like to develop an initial take on a fixed budget, but then with the right person this would be on-going work to improve the features and conversational aspect of the system over time.
Skills: Artificial Neural Networks Machine learning Natural language processing
Fixed-Price - Expert ($$$) - Est. Budget: $50,000 - Posted
“Think·in Consumer Neuroscience”, is a neuromarketing company based in Chile. We perform neuromarketing research studies to understand the conscious and subconscious responses of the individuals towards any marketing stimuli, using technologies from the fields of neuroscience and biometrics measurements. We perform studies both in our lab and on point of sale. With an Emotiv electroencephalogram (EEG) we can get the measurements of engagement/boredom, frustration, motivation and excitement. With the help Tobbi Eye tracker we can track visual attention, fixation points, pupil dilation, and create heat maps that show witch areas attracted the individuals the most. Last but not least with Emotient Facial Recognition Software we can analyze emotions such as fear, surprise, anger, disgust, contempt, sadness and joy. To work with these three technologies simultaneously we use iMotions Software. Neuromarketing is a great innovation in marketing, however we are certain we can take it one step further. That´s why we need a machine learning expert and data scientist to develop: A model that would be able predict & identify customer behavior and emotional response to marketing stimuli’s using applications from the fields of neuromarketing and artificial intelligence. In the identification process we want to ad more outputs and correlations coming from our existing technologies combined with traditional marketing methods, such as surveys or social networks analysis, to have a better answer when asking the questions like: - How can we identify emotional response more accurately and have actionable insights from this process? - Can extract more emotions using EEG, Eye tracker, Emotient, text emotion recognition and surveys? - How do people feel when they see your commercial? - What emotion is most related with your brand? - What emotion is most related with buying decisions? The prediction process is the most innovative one, currently there are some companies that already use predictive marketing analytics to predict when are online consumers most likely going to buy. However we want to create a model witch can predict offline behavior as well. Each of us generates digital exhaust and electronic bread crumbs on a daily basis. From the websites we browse to the brands we follow on Facebook, data is available to gain insight on habits, target behavior trends, emotional responses to future stimuli, among others. Some simple questions we expect to answer are: - Where is my target audience going on winter holidays? - Where should we advertise in 6 months from now? - When is my audience most likely going online/offline shopping? - If we release this commercial on the 4th of July how would my audience most likely feel? - What segment is most likely to change brand loyalty? - Name the behavioral trends of my target audience during the 7 seven days of the week, in the moths of December, January and February. Finally the prediction & identification model should be able to recognize spoken natural language, to make the interaction with the software more natural and efficient. Our clients need to feel they are talking with their own personal marketing intelligence agent. We are looking for a lot of positive initiative and creative developers; doing some research we believe machine learning algorithms, predictive analytics and artificial neural networks will be needed in order to achieve our goal. However we are open to new ideas for the best approach to tackle this challenge. For example the idea of developing this model using WATSON´s API’s instead of creating a software from scratch. If interested please send an estimated time of development and estimated cost. If you need more information or examples of what we are looking for please feel free to contact us.
  • Number of freelancers needed: 2
Skills: Artificial Neural Networks Algorithm Development Artificial Intelligence Data Modeling
Fixed Price Budget - Expert ($$$) - $100 to $2,000 - Posted
I am looking to acquire trained algorithms in the fields of Medicine, Biology, and Bioinformatics. You must have it well documented along with the libraries, data sets used, and other information about the algorithm. We are looking for artificial neural network algorithms, noise reduction, disease recognition, and any other general medical algorithms. Please only reply if you have something already developed.
Skills: Artificial Neural Networks Algorithm Development Algorithms Artificial Intelligence
Fixed-Price - Intermediate ($$) - Est. Budget: $650 - Posted
In order to better assess your suitability for the project, we would like to see a portfolio of projects you have completed related to data mining, artificial intelligence and machine learning. Our project chiefly borders on these areas and not just simply web development and scraping. It is a search engine for schools that generates results based on the user’s queries. These results are displayed on our website in a fixed generic format, but content would be based on user’s unique query. Every subsequent query by the user which is dependent on an initial query will adopt the same search format until the results generated for the user are enough to meet the user’s needs. A new startup firm based in Toronto, Canada is seeking EOI from a Service Provider to execute a project to facilitate the launch of its business activity in the education sector. Project Description The preliminary stage of the project is to replicate the concept in Campus Explorer ( should capture several countries, programs of study and institutions. The project however is much broader in scope than Campus Explorer. The functionality of the platform mirrors the concept in Plenty of Fish (the dating website) other websites whose functionalities are driven by machine learning algorithms.Users’ preferences and information on credentials providedwill serve as pointersfor the algorithm to decide on the best matching institutions. Decision making will be dynamic and tailored uniquely to the individual. Beyond recommending specific institutions, the algorithm should be able to scrape information on admission requirements and application checklist from identified institutions and provide the information to users. This helps to narrow down users’ options and provide the recipient institution with the best of candidates. Service Provider Skillset: Data Scientist/Programmer, Web/App Developer and Web Tool Specialist. Interested Service Providers should send a brief EOI stating the following: a. their understanding of the project b. demonstration of experience, expertise and capacity to do the job c. references to similar jobs completed d. proposed time frame to accomplish the project e. Cost (a fixed price fee is preferred and not hourly billing)
Skills: Artificial Neural Networks Artificial Intelligence CSS Internet research