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    7,668 neural networks matlab code prediction jobs fundet, i prisklassen EUR

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    1- MIMO Deep neural network Detector (DNN) implementation using MATLAB .m file. 2- Paper verification (10 figures). 3- Elaborate each step in m file in detail (word or pdf file). 4- Write comments in the m file.

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    CNN Image Orientation Detection 6 days left
    VERIFICERET

    Convolutional Neural Network experience is required We have been developing a project that solves puzzles, the puzzle requires an image of random orientation to the correct angle. There is a possible of 9 rotations/answers 360/9 = 40 degrees per possible answer. The puzzle solver is a web service in which we ask for the server to solve puzzle

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    call nn in R from Excel with Bert 6 days left
    VERIFICERET

    I have a neural network in R of type avNNet, fitted with Caret. The name of the neural network is mynn. I would like to send input values from Excel VBA to mynn and receive the predictions from mynn in Excel VBA. Currently within R I send my input to mynn this way: # make a single prediction x <- [login to view URL](5.1, 3.5, 1.4) names(x) <- c("Length",

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    ...care of the Company Official Facebook Page and Social Networks via business manager: All content is provided in English, needs to be translated and posted. Answering Messages on FB and local Social Networks Replying to notifications 2. Posting to Forex/Investing Facebook Groups, Social Networks and forums. All content is provided in English needs

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    ...care of the Company Official Facebook Page and Social Networks via business manager: All content is provided in English, needs to be translated and posted. Answering Messages on FB and local Social Networks Replying to notifications 2. Posting to Forex/Investing Facebook Groups, Social Networks and forums. All content is provided in English needs

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    ...botnet is considered as an important carrier of malicious and undesirable briskness. We propose a support vector machine to classify botnet activities according to IWD, and neural network clusters. The proposed approach is based on the features of transfer control protocol packets. System performance and accuracy will evaluated using a predefined data

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    hello. i'm working on a project and need some help. basically start from data preparation and cleaning, but if you can, prediction model is also preferable. it will be about predicting birth date based on behavior. please let me know if you're interested to work on this week.

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    Prediction of student performance using Classification Techniques in R

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    ...Similarity, followed by prediction computation using, Weighted Sum, Adjusted Weighted Sum, machine learning techniques followed by validating and evaluating the models to get the MAE and RMSE scores etc. The output of the prediction should be incorporated into an existing script. I will provide this and all work, computation and prediction should be document

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    Orderbook, matching, prediction models (we provide algo), basic layouting

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    reference: [login to view URL],cindicator app User panel: Signup Login Predict Prediction history Leaderboard Current points Winings of the month Total winnings Admin: User verification Post the questions Post the answers Automatic point system Prize pool distribution

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    reference: [login to view URL],cindicator app User panel: Signup Login Predict Prediction history Leaderboard Current points Winings of the month Total winnings Admin: User verification Post the questions Post the answers Automatic point system Prize pool distribution

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    I am looking for someone to help me build a deep neural network using Keras and apache spark to predict the highs and lows of 10 minute candles for forex pairs. I have 5 computer I will need to set up to run the machine learning in parallel.

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    New database for existing code

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    9007-Java Developers needed 2 days left
    VERIFICERET

    BANKRUPTCY PREDICTION OF CONSTRUCTION BUSINESSES: TOWARDS A BIG DATA ANALYTICS APPROACH

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    Hello, I want a very experienced person who can teach me machine learning basics , algorithms , and traffic flow prediction using machine learning and deep learning

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    I want an expert who is good at C/C++ and an expert in implementing evolutionary neural networks e.g, GA_ANN in Vivado HLS tool.

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    I need you write a research thesis on the deep learning traffic flow prediction of a city, use at least two methods or algorithms and write an interesting and error free , anti plagarism thesis

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    Given a data set of 50, 000 images (32x32 pixels) that belong to 10 categories, say, the 10 digits, how many parameters in your classifier for hand-written digits that you can comfortably entertain if you want to train (a) a discriminative classifier or (b) a generative classifier? I need help solve this question with argument.

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    Need an app that gets public feed from a selected user (Instagram, Facebook and LinkedIn) and return it into DafaFrame (or any other way), for example.

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    Senior Web Engineer 21 hours left

    ...have agency experience in performing online actions as directed—from maintaining our and developing our tools and platforms, to taking code tests, as well as conceptualizing and implementing solutions to our neural-net driven job portal, and more. Qualifications • 1+ years of professional experience working in the information technology industry •

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    I need to build social network following on: Twitter Instagram Facebook & Spotify

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    ..."lat" and "lon" coords for the address that resolve to "APPROXIMATE" and to "GEOMETRIC_CENTER" in the database so we have a better prediction of time taken to deliver etc... What is required is the Maps JavaScript API code to replace the simple the current html form that ask for lat and long coords. Idealy a new "[login to view URL]&...

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    ...Thus, this is basically a kind of classic string classification problem. The code must be implemented in a way it can guess the ethnicity of person whose name does not exist in the dataset. In other word, the code must be some sort of learning system (such as artificial neural network system which has been trained using the sample dataset), OR it uses

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    I want a machine learning developer to use seq2seq algorithm to build a natural language processing model that can summarize articles.

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    questions need to answered regarding wireless networks

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    ...conversion of IoT to CPS, you have to provide the results of performance prediction metrics and 2-3 from self-resilience and self-optimization by taking any example and comparing it. Furthermore: In the end conclude overall or one by one, that without embedding performance prediction metrics or self-resilience and self-optimization in Iot device, what

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    ...computer science and engineering Set 4) Ethereum ethereum price ethereum interview questions ethereum blockchain ethereum vs bitcoin ethereum ethereum price prediction ethereum price chart what is ethereum cryptocurrency ethereum ethereum value ethereum classic current ethereum price ethereum classic price ethereum coin

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    Prediction of Football Match Outcomes Based on Bookmaker Odds by Using k-Nearest Neighbor Algorithm

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    I need to add training and test error on artificial neural network model code

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    I would like to get the lowest graph from [login to view URL] So I am interested by plot_results_multiple() from [login to view URL] Roughly, I have a .pkl file where I have two lists of sublists where I need to plot

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    I have a large set of labeled historical data. I'd like to have an algorithm that can classify (predict) new examples. I'm familiar with simple classification algorithms like K-nearest neighbour. It's probably too simple, but an algorithm with the same outcome would be ideal I'll provide an example dataset bidders I am interested in It should be implemented in PHP as it will...

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    We have a model which run LSTM and other things to predict the price of stock and crypto for a next day. We have to increase its accuracy using Sentimental analysis, Bayesian optimization and reinforcement learning to a desire level. More details will be provide during discussion.

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    I have a project I have been working on for a bit. It's intent is to predict stock prices. I was working with someone on this but he had some issues to attend to. I would like to continue the project if possible. I am on the next iteration. The site is rjgoptions.com. This piece of the project will be on the tab called "Stock Game". This is where this project will take place. Att...

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    ...location of the house, material used for construction, age of the property, number of bedrooms and garages and so on. This paper uses machine learning algorithms to build the prediction model for houses. Here, machine learning algorithms such as logistic regression and support vector regression, Lasso Regression technique and Decision Tree are employed to

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    An IEEE paper is attached which has to be implemented. DESCRIPTION: Developing a model for the Prediction of Hospital admission from the emergency department. Practical Implementation of the models of different machine learning algorithm like Logistic Regression,Decision Tree and Gradient Boosted Machine Algorithms and comparing there performance

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    Looking for an expert in neural network implementation using python programming.

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    want to develop a python machine learning and neural network program for trading in indian markets msg me for further information

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    I need someone who can create a network that is able to generate Human Images like the NVIDIA Research: [login to view URL] [login to view URL] in Combination with a second function that enables to take one of the images and put them on a body

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    I need someone who can create a network that is able to generate Human Images like the NVIDIA Research: [login to view URL] [login to view URL] in Combination with a second function that enables to take one of the images and put them on a body

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    i need someone to do the prediction of one out of 37 components from a company. The historic data will be provided. There are a number of tasks i will require from the freelancers. To some them up. Data Exploration and Cleaning Regression Modelling Model Comparison Decision Tree Modelling

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    I'm looking for an UniFi (Ubiquiti Networks) captive portal developer to finish a running project. At the moment we're using the free php portal "espresso". The biggest problem is that on some laptop browsers the captive portal login page does not appear and we don't know why. So for example on one laptop it does appear in Firefox v61 and at the other

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    I want to make path planning for such dynamic objects in a map contains some obstacles by three techniques :- Fuzzy Logic Controller . Neural Network . ANFIS . to get the the less time and shortest distance will the object take to reach its aim.

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    I have fitted a neuralnet based on 3 variables: x1, x2, x3 generating predictions y. I would like to construct a matrix based on x1, x3 and the average prediction y for each combination while x2 is within range 0-25. (next I would like to make a similar matrix for x2 in range 26-50, 51-75 and 76-100. See: [login to view URL]

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    ...skills to calculate very complex mathematical equations regarding AI, statistics and historical data? Have you worked with Python and/or Matlab before? Do you have good knowledge of Machine Learning/AI/Neural Networks/LSTM/GRU and much more? Do you have good knowledge about trading and trading strategies, markets, pricebars, patterns and indicators?

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    I am looking for a person who has sound knowledge of computer network field and help me in solving some problems and can also explain me the concept involved in those problems.

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    I am viswavardhan from india , i need some one to integrate the above and let me know

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    We are looking for someone who is experienced with publisher networks and social media marketing to generate inbound calls from the customers in US.

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