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    9,730 neural network time series prediction matlab jobs fundet, i prisklassen EUR

    it is an action book with much action and many layers

    €366 (Avg Bid)
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    ...([log ind for at se URL]) and design Float Pods (sensory deprivation). We have custom built multiple control boxes/mother boards that automatically take in variable inputs (Such as time, temperature, light switches, music selection, manual tasks from our software, ect) and in turn control turning on/off pumps, heater, motors, led lights, speakers, ect. We

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    Machine Learning Prediction Model 5 dage left
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    We are running a sales prediction model by external variables, such as weather and etc. Currently, we are using Time Series, XG Boost Model and LSTM - RNN Models. We only know how to run the model from api on amazon aws sagemaker (Python). But we are lacking of experience on tunning the model and selection of correct algorithms. Right now, we need someone

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    Trophy icon Hero Series (Schools) 19 dage left

    We are Hero Series a new obstacle course business. Alongside our adult events we are keen to create family / junior event and are looking to take our concept of an alternative physical activity option (obstacle course event) into local Primary schools. As parents and looking at a holistic approach to physical activity and health we want to create some

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    Build a website with a map interface where the predicted weather should be updated in real time(Chennai region).Only rainfall

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    Don't worry, not video, only pictures. In a nutshell, I need to analyze images from wik...com/kosukeimai/wru
 [log ind for at se URL]
 [log ind for at se URL]
 [log ind for at se URL]




 But I am open to any solution and have researched alternatives. Thank you for your time!

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    ...based on relevant parameters identified as part of feature selection,creating clusters. 5. Generating a new predictive modelling for all the observed data and showing the prediction results( Here application of R programming) 6. Application of cognitive computing on the same data and show a comparision for both simulations of predictive modelling and

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    neural nerwork using 4 dage left
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    I need someone who can make neural network to [log ind for at se URL] more details

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    ...recognition system using Local Binary Pattern as feature extraction method and K-Nearest Neighbor as classification algorithm. So I would like to do the same work by using Artificial neural networks (ANN) as machine learning classification algorithm. In base paper the testing result on this system shows that the Local Binary Pattern Variance method can recognize

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    Download the dataset published by the Government of Ontario from the following link: [log ind for at se URL] The dataset includes condition information for different roads in the province. Using your knowledge of classification methods, can you suggest a model that is capable of predicting the condition of a road for an incoming year?

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    We require a developer thats familiar with H2O and REST API's with Java experience to work on a number of key features for our prediction server.

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    Need Java Developers 4 dage left
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    BANKRUPTCY PREDICTION OF CONSTRUCTION BUSINESSES: TOWARDS A BIG DATA ANALYTICS APPROACH

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    I need an Android app including web portal to perform online test practices with result and merit list including negative marking. you can have idea android app like conduct exam, think exam etc. I would like it designed and built.

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    I will give you a set of data, and ask to write code in python with encoder-decoder LSTM to get 3 seconds of data and train a system to predict 5 seconds. I need it to be done in Keras or tensorflow.

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    Implement the Genetic Algorithm in JAVA for Prediction, based on average, Stock Closing Values ​​of the Stock Exchange. Implement Evaluation, Selection , crossover, mutation, update and finalization. Example: start with a vector with the previous price of 90 days stock. Data, Open, High, Low, Close *, Adj Close **, Volume. Example: https://finance

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    Scrape entire database of movies and tv series from [log ind for at se URL], and add on my site psytheme wordpress

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    Need help in a machine learning and neural network project

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    I want to dev an android application where people can select heros icons wich i have already done. So they can select an combination of heroes and when they press "cal...selection to win that combination. i want an database where i can upload the results so via json the android app will comunicate and get the results, so it will show the prediction.

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    I need someone who can implement a paper with nueral networks , fuzzy logic, and model using Matlab ,Please make offer for more details.

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    We are developing stock prediction platform. We need finance expert having deep experience in stock.

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    We need an illustrator to bring the kids book series to life. The series is made up of 12 short stories and centre's around a 5 year old boy Ralph (lovingly known as Ralphie). Other Characters includes Ralphie's mom and his friend Jack. Ralphie is faced with regular 5 year old issues and looks to the audience to help him answer the queries. Its an

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    I need a test series software with same same look front-end of TCS ion software. Also must be leaderboard for student result and question wise and time wise analysis report through chart and graphs. Also I need gate calculator in the exam panel. Add question using excel and word with question image. Fill in the blank type questions with answer value

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    I am looking for an expert who has some deep knowledge in machine learning to help me set up an algorithm for stock price prediction and predict if a stock will go Up or Down. Technology: Python using Sklearn module, RNN, LSTM or similar ( Preferred ) Experience using hyper parameters - like Adam Optimizer. H2o (automl) ( [log ind for at se URL]

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    I am creating a six season series (planning is done) and need animators who are willing to work with me to create it. The series involves different characters both male and female as well as weaponry and fighting sequences. The budget for this will depend and will be discussed.

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    This is a traffic prediction project. I have historical data of speed, location, vehicle count and etc I expect you to do the following: 1- change format of dataset to the matrix to be imported by tensorflow 2- develop Python code using deep learning, tensorflow and etc to predict traffic 3- write the used methodology with formula in detail 4- Training

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    adversarial machine learning 1 dag left
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    You will create convolutional neural network for online database and fine accuracy of classifier then u will adding some poise it means exposure an attack to degregate classifier performance

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    Hello free...want to change that) 3. the accuracy sometimes is less than 100% please fix that bit as well 4. change the number of layers from 2 to 3 in the demo.m file at %Create the neural network 5. i have helping [log ind for at se URL] with details to help. 6. that's all I attach my project so far Kindly let me know asap so we can begin! Happy Biding :)

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    Adaptation of my novel series.  An apocalyptic, time travel story that brings about the reimagining of biblical times in our modern day era.

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    Redactar contenidos sobre series de televisión, capítulos y personajes.

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    Deep learning, Python, Traffic prediction, speed prediction, modling, plot on map

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    Hi, I'm looking for a freelancer who can help me with LOAN DEFAULT PREDICTION using HADOOP MAP REDUCE LOGISTIC REGRESSION using python or java. Loan default prediction is used to predict whether the customer is going to pay back the loan or not using the given data set.

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    ...Keras Skill Description: Keras is an open source neural network library that is written in the Python language. It should be noted that it is capable of running on top of other frameworks/software libraries, such as Microsoft Cognitive Toolkit, TensorFlow, and Theano. Keras as a neural network helps to optimize a lot of functions, and is used to

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    time series Udløbet left

    ...NYSE/AMEX/NASDAQ. The data s pan is from January 1961 to September 2011. (a) For the return series of D ecile 2 and Decile 10, test the null hypothesis that the first 12 lags of autocorrela tions are zero at the 5% level. Draw your conclusion. (b) Build an ARMA model for the re turn series of Decile 2. Perform model checking and write down the fitted model. (c) Use

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    Project title- Em...be included-zero crossing rate ,mfcc and energy level. Scope-Based on a given speech input we have to extract above three parameter then we have to detect emotion using neural network. Face recognition :- We have not decided but we have to detect emotion from face . We have to combine speech and facial module and detect emotion.

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    ...illustrator for my children's book series, "Coco". It is based off of my dog, and there are already two books in the series! I need someone that can match a similar style based on the illustration that is already done. The illustrator will have opportunity for ongoing work, since there will be a quite a few books in the series. The illustrator will be paid

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    Using the data from previous years, develop a neural network algorithm to predict crime count in St. Louis metropolitan. For instance, predict the number of vehicle theft for next month in the Compton Height area.

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    Using the data from previous years, develop a neural network algorithm to predict crime count in St. Louis metropolitan. For instance, predict the number of vehicle theft for next month in the Compton Height area.

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    I need a online test series website for our school,and i need a ready made website for student of about 2000 at a time giving exam!!!!

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    Deep learning AI Udløbet left

    Hi there I'm looking for experts in deep learning AI , Tensorflow, Convolutional Neural Network, Artificial Neural Network capable of creating data capturing applications on windows platforms for employees and various 3rd party applications.

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    Hello ! We are Amuse, a French animation studio specialized in producing web animated shows for young children. We produce shows that are creative, fun and wholesome for our young viewership. As a fast growing, dynamic company we are always looking for new freelance partners to work on our shows. We are currently hiring storyboarder to provide storyboard. The offer is for a long-term partnership...

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    ...with Python, Scala or LISP. Apply AI/Machine Learning technology to solve real-world problems. Machine Learning and Artificial Intelligence (AI) techniques and tools such as neural networks, regression, classification and clustering. Manipulate high-volume, high-dimensional data from varying sources to highlight patterns, anomalies, relationships and

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    I want somebody who is extremely good in English to help me write a technical report about the Artificial Neural Network Devices. It is not a report regarding the general information you find on Google. It has to be more scientific and including all the devices discovered so far in this field. In the attachment you will find a couple examples of scientific

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    nce my material for my book and play and family series books.

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    Application software specially designed for maintenance monitoring. To provide flexible specification of required maintenance integrating with the spares usage. Int...personnel changes. Semi-annual concise maintenance and survey planning and full maintenance plan for any required period. Spare parts usage monitoring and future requirements prediction.

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    I have a small data set with 10 input and 1 output variables. I expect to get a good fit with this data. What happens I get a reasonable fit with the training data set, but it does not work well with the test data. For this dataset, I expect good fit with both the training and the test data. Please bid on the job if you could help me. The code is written in R and working. My budget for this is...

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    Dataset Description: • We have the 14 CSV files with attributes IssueId, Title, Description and Story points. • Title and Description which are text/paragraph are the input to the model, and the output will be the predicted story point. • Story point Range: 1 - 40 * Text pre-processing * Feature Engineering using tf-idf * Implementation using Paragraph2Vec *Implement CNN for text ...

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    ... This project is on machine learning so one must have good machine learning back ground. The task is to segment different tumor regions using a "Resnet" (Convolutional Neural Network) Architecture. I have already implemented the problem on CNN architecture using Keras and tensor-flow. All relevant material and code will be provided which I have implemented

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    Speech Recognition process using Neural Network approach.

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    Looking to build a model that gives a daily prediction for 2 different stocks using tensorflow and python. Regular work available for the successful freelancer who can deliver results. Possible profit share available if this turns into a successful partnership. Need to be able to work with this API [log ind for at se URL] Must

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    Trophy icon Series of five cartoon memes Udløbet left

    I would like five different cartoon type memes to post to my business facebook page. Similar in style to the one attached. Each cartoon would have one line of text and corresponding image. Text 1 - Leadership is a choice. Text 2- Leadership means sometimes you need to make hard decisions. Text 3 - Leadership means doing what you say you'll do. Text 4 - Leadership means being open to ...

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