Neural network time series prediction matlab jobs

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    9,471 neural network time series prediction matlab jobs fundet, i prisklassen EUR
    MIMO Detector 6 days left

    verify the attached paper matlab neural network Telecommunicaation engineer

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    1) I need help to design a logo design for a hair care product. 2) would prefer minimalist style

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    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("Len...

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    Time Series in R 6 days left
    VERIFICERET

    I need time seres analysis in R. I will provide more details later.

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    8 bud

    Hi, I need a review of 1500 words about the Bose Quietcomfort 35 series II headphones. I would like you to include the following points: Performance. Features (e.g. the active noise cancellation). Design and materials used. Pro and, If presents Contra of this product. A little sum up. The article must be written in short paragraphs if possible with

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    Hello, can you please send me pcode for Signature veeification using neural networks in Matlab?

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    I need an Android app. I already have a design for it, I just need it to be built.

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    Improving an already existing machine learning project by possibly adding a new neural network algorithm . It is object recognition based and mainly uses tensorflow.

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    Hello Freelancers! I have this p...everywhere in the code 3. Write the report 4. In step 3 use at least 1 different Neural Network model from the ones used in ready code. Kindly review and let me know if interested. Deadline for this is 15 hours and budget is aprox $15-$40 AUD. Thank you for your time and let me know if interested. Happy Biding :)

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    Hi I am looking for some one with Neural Network experience using Jupytor Python Pytorch Three set data will be provided - Training, Test & validation. Load and preprocess the image dataset Train the image classifier on your dataset Use the trained classifier to predict image content Thanks Nathan

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    ...(variables, structure, format of commands, etc) and add add analytical comments everywhere in the code 3. in TASK1 write the report 4. In TASK1 step 3 use at least 1 different Neural Network model from the ones used in ready code. Task 2 is in Python 5. In TASK2 (which corresponds to [login to view URL] in the zip file) selecr 4 other different 4 classes

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    Email series 5 days left

    I need a custom email marketing followup series about 10 to 12 messages (not long just targeted) after a person optins on my capture page. You do have to know a little bit about to product to followup specifically to ultimately get a person to buy the product. That's the goal. If interested I'll share what the product is and you can develop the messages

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    My company is about to produce a series of 3D animated videos for young children. They are both educational and entertaining. Each program has 2-3 short songs and or music tracks that add to the overall upbeat feel of each program. Each video although unique has the same underlying theme; To help reduce the fear and anxiety in certain situations

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    I need a artist that can draw animals that look cute but be able to deliver also violent scenes of war with them in it as well. The main character is going to be a platypus so please send over sample artwork so I can find right style. Also need someone who can do some dialogue and sound effects when needed as well for episode. Looking for a style that has a hand drawn look and not so clean like pe...

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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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    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 4 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("Len...

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    8 bud

    ...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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    Hi there I have a selection of videoS I would like edited into 1 long Video for Youtube You can see an example of output here: [login to view URL] You are basically starting with a MASTER VIDEO - then splicing other clips into it EDIT NOTES: Start with MASTER VIDEO : Colour grade, clean up and sharpen the audio - SEND A SCREENGRAB OF THE COLOUR GRADE TO ME FOR APPROVAL BEFORE CUTTING IT UP...

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    We are mixing up the fitness industry by integrating neurological ...want to break the stereotype of unintelligent athletes. The initials of our business are AF. We are thinking about making a play on AF standing for "as fuck." for example: a series where we have interchange words that come before AF - "Empowered AF" "Intelligent AF" "Female AF" etc.

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    Garanteret
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    226 indlæg

    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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    Good afternoon, We are looking for a series of articles covering basic Excel functions to put on our blog. Each article only needs to be 100 words longer than the #1 article you find in google for each term. Some will be 200 words others may take 1000 it will depend. We are not looking for low quality articles, each one needs to be better than the

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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 8 hours 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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    Our site features reviews about fragrance and deodorant. We would like to bring on a few writers that love perfume and cologne and can write 500 or so word articles about fragrance.

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    ...using our task management software to complete a series of tasks. The ideal candidate will 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

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    I am a Christian author working on a children's rhyming series of 6-8 books. Each book will focus on a life principle and is geared toward third-grade level readers. There are at least two main animal characters per book that would be the focus of the illustrations (i.e. frog and toad, monkey and elephant, wolf and dog, etc.) The books range from 15

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    Hi, I need a free lancer cartoon artist for my 5 minutes cartoon film series. I will provide the story and characters and request him/her to make it 5 minutes video with all illustrations. This project is for the first episode; Step-1: I will provide a few draft character drawings and request to make one illustration by using one of them Step-2: I

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    ...We wants that someone manually put "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. Idea...

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    ...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 other ways to extract traits from the names which hint as to which ethnicity a person most likely is

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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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    ...given in word doc. Please read the details carefully and follow them accordingly. Please feel free to ask if any query appears. The data collection like measuring response time etc will be performed by you. The deadline is 15th of September, 2018 to send the complete paper. The number of words should be 5000 Below are some guidelines regarding

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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 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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    NDA
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    I need a new website. I need you to design and build it.

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