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    464 bayesian công việc được tìm thấy, giá USD
    Build Program Maybe Website 4 ngày left
    ĐÃ XÁC THỰC

    I'm looking for a developer for the short term . I want to develop a program which utilizes machining learning in combination with image recognition, a scraper and a bayesian filter. This program would be used to pull data off of sites given certain criteria and sort the data. Over time , I hope the program would learn what data I prefer to see over

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    ...answer my questions. This would be piecework (Word files with questions). I cannot pay an hourly fee. You **must** have a strong personal interest in Gaussian processes and Bayesian modeling. This project is unlikely to interest anyone who is not already highly motivated to study this material. But if you need to master this material for your own technical

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    ...detectable effect): X% Adjusting input data will of course change the required MDE%. Note: See a working example of this on the following page: [đăng nhập để xem URL] You will see how it calculates the number of days a test should run for when the daily visitors, conversion rate and MDE are supplied. In contrast to this of

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    Bayesian Updating Project Đã kết thúc left

    I have a tricky project related to my work on Bayesian updating. Please see the attachment. Please note that I am not only looking for the solution but will have a lot of questions with your answer.

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    must be well trained in statistics - particularly bayesian and probability

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    Must be able to program in python and have a background in statistics - specifically bayesian estimation

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    Bayesian Networks in R Đã kết thúc left

    Bayesian network implementation in R lang, to classify diseases. Budget is only 15$

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    You will build Bayesian network in R (without using any packages) to provide estimations of the probability using Metropolis in Gibbs MCMC sampling. budget is only (30$) if you dont know it, or dont know how to do it, please dont waste my and your time

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    Bayesian network in R -- 2 Đã kết thúc left

    You will implement a Bayesian network that will provide estimations of the probability that a person has diseases given a set of observed variables. Implementation is in R, and its a mini project. Budget is only 40$

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    You will implement a Bayesian network that will provide estimations of the probability that a person has diseases given a set of observed variables. Implementation is in R, and its a mini project. You will not use any library.

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    I need a tutor who has read and can explain key passages and code examples taken from McElreath's Statistical Rethinking, Murphy's Machine Learning a Probabilistic Approach and Rasmussen's Gaussian Processes. I want to interact asynchronously (not through videoconferences), so I'd like to find someone who can provide written answers to questions I send by email.

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    Project for Federico R. Đã kết thúc left

    I want to apply MCMC to sample from my Bivariate posterior distribution and get Bayesian estimates for both parameters.

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    Project for Jeffrey G. Đã kết thúc left

    ...techniques to solve for Bayesian estimates as I did previously for one variable case. Now I have a bivariate prior, and would like to get Bayesian estimates for each variable separately which in this case, I need to get the marginal posterior function for each. I would like to you to assist me if there is anyway I can get the Bayesian estimates for both

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    ...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, for example that of n-grams, bayesian analysis or something else. The code must not be simply a search algorithm which searches the dataset against hits and in case there are no hits (e.g. if name 'john' does

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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 and Bayesian optimization a desire level. More details will be provide during discussion. Developer should have prior experience in sentimental analysis. This project required sound knowledge

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    I have stack of images which contains some classification region. I want t...region. I want to classify this regions using following set of methods in python. 1. LDA (Linear Discriminant analysis). 2. Support Vector machine. 3. Region growing. 4. Bayesian classification. Those who are interested send me a message so that we can discuss more about it.

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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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    Netica Bayesian Model Đã kết thúc left

    Create a 10-variable model in Netica using a real world problem and assumed data. Must include a 2-pager stating problem, assumptions and conclusion and the model in netica.

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    Project for Nitin Đã kết thúc left

    Visualisation Logistic regression Bayesian logistic regression

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    Build ML Model using Python Đã kết thúc left

    ...iterative learning, Neural Nets etc. Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable Experience of working in Distributed/Cluster computing environment is desirable Ability to work in cross functional teams Excellent data

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    Project for Alka R. Đã kết thúc left

    Hi alkarajput3131, I noticed your profile and would like to know if you have had any experience with Bayesian modelling before? Regards

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    ...NLP/ML/SQL Developer Experience working with any of the popular NLP libraries: OpenNLP, StanfordNLP, NLTK, etc. Familiar with some popular machine learning methods: K-Means, Naive Bayesian, Support Vector Machines, Maximum Entropy Develop and perform text classification using methods such as logistic regression, decision trees, support vector machines and maximum

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    Design project Đã kết thúc left

    Σχεδιάστε ένα λογότυπο The logo should be"easy-blcm" which stands for bayesian latent class models. I like something on black and white or the grey scale.

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    Η εργασία έχει σχέση με πιθανότητες. Υπάρχει ένα σενάριο και πρέπει να δημιουργήσω...

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    Η εργασία έχει σχέση με πιθανότητες. Υπάρχει ένα σενάριο και πρέπει να δημιουργήσω...

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    I have a simple project related to Bayesian statistics, neural networks and probability. I will provide more details later.

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    Hello all. I have a few queries that need to be worked upon in bayesian statistics. i will discuss it in detail with interested candidates. needs to be done today asap.

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    Hello all. I have a few queries that need to be worked upon in bayesian statistics. i will discuss it in detail with interested candidates. needs to be done today asap.

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    Project for Tom C. Đã kết thúc left

    ...postdoctoral research field would be mathematical statistics with applications to medical and pharmacological data. Major themes of the research include: (1). Development of Bayesian methods for increased efficiency in healthcare provisioning and rate-setting. (2). Review of essential biostatistical knowledge. (3). Review of essential statistical knowledge

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    ...Distribution Conditional/Unconditional Probability Binomial and Normal Distribution Auto-Correlation for Pattern Detection Mathematical Programming Classical Statistics Bayesian Statistics Regression and Classification Neural Networks Heuristic Algorithms Simulation Decision Analysis Multivariate Statistics Machine Learning Text and

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    I need help with bayesian statistics. Have a problem similar to [đăng nhập để xem URL] However, i am trying to find the likelihood of data (x,y)

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    Project for frankoziga Đã kết thúc left

    Hi, Frankoziga, I need to implement Population Based Training algorithm for my experiment. The algorithm should be able ...Word2Vec word embeddings and return the hyperparamaters used and their accuracies. The attached is the dataset used and jupyter notebook file for the working Grid search and bayesian method for hyperparamater optimization. Regards

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    Bayesian classifier Đã kết thúc left
    ĐÃ XÁC THỰC

    I have a project with three parts divided i have pdf's of those parts

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    naive bayesian classifier Đã kết thúc left

    to develop a working model of a naive bayes classifier and then train it with a dataset so that when the user send the input of what he wants to find the he should get a reply

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    Matlab Expert needed (Bayesian Simulation) Đã kết thúc left
    ĐÃ XÁC THỰC

    I nee an expert, who can use MATLAB code to run Bayesian Experimental Design learning simulations. further details will be shared with interested freelancer. Please bid if you can start now and you are an expert.

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    ...Search, Bayesian Optimization and Population Based Training. For this experiment, the code for Grid Search and Bayesian method has been written and working. Therefore I need help with writing the code for the Population Based Training Method. The attached is the dataset used and jupyter notebook file for the working Grid search and bayesian method

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    Consultant and Analyst Đã kết thúc left

    ...experience in supply chain demand forecasting 3. Proficient in time series forecasting techniques like ARIMA, Holt Winters, Exponential smoothing, state space modelling, Bayesian techniques 4. Proficient in R, Python with minimum 4 years hands-on experience 5. Hands-on experience in project delivery involving demand forecasting using R

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    ...experience in supply chain demand forecasting 3. Proficient in time series forecasting techniques like ARIMA, Holt Winters, Exponential smoothing, state space modelling, Bayesian techniques 4. Proficient in R, Python with minimum 4 years hands-on experience 5. Hands-on experience in project delivery involving demand forecasting using R

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    SKILLED Artificial Intelligence EXPERTS Đã kết thúc left
    ĐÃ XÁC THỰC

    I need an expert in Artificial Intelligence who understands about motors using Bayesian networks Robocode frameworks This requires coding plus a professional description. PLEASE PLEASE DO NOT APPLY IF YOU DO NOT HAVE EXPERIENCE IN AI Thank you

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    Machine learning - classification models Đã kết thúc left
    ĐÃ XÁC THỰC

    ...Or Feature extraction (PCA, LDA Identify if the data is imbalanced, handle it Declare all the preprocessing steps Perform the classification using Naïve Bayesian Classifier (BC), Bayesian Network (BN), and DT (Decision Tree) and Random Forest (RF) measuring the accuracy find per each model True positive TP True negative TN False positive

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    The user must be able to import the excel sheet given in the project and will have to calculate specific method which are Bayesian Probability. Half of the project has been completed. However, the excel calculation hasn't been completed. With that said, the jFrame should also include a chart to display the calculation on top of the textfield answer

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    Artificial Intelligence Experts Đã kết thúc left

    I need an expert in Artificial Intelligence who understands about motors using Bayesian networks Robocode frameworks This requires coding plus a professional description. Please do not apply if you are not qualified for this Thank you

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    Decision Support - open to bidding Đã kết thúc left
    ĐÃ XÁC THỰC

    • Build payoff and regret tables; build decision trees from payoff tables; compute decisions under ignorance and risk. • Apply Bayesian decision process to decision making. • Understand and articulate decision making and its impacts in the real worl

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    Decision Support Đã kết thúc left

    • Build payoff and regret tables; build decision trees from payoff tables; compute decisions under ignorance and risk. • Apply Bayesian decision process to decision making. • Understand and articulate decision making and its impacts in the real worl

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    Bayesian Networks and Inferencing in Java. More details to be provided.

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    Project for Lyuben L. Đã kết thúc left

    Hi Lyuben L., I noticed your profile and I need help with a problem. It's about a Bayesian Network which has to be done in AgenaRisk. Any chance you can help me with that? Task is to build a Bayesian Network model to illustrate and inform decision with different scenarios.

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    ...and principle components analysis on the predictors 4. Run cluster analysis on the predictors 5. Run various machine learning algorithms (such as regression, SVM, Naive Bayesian) on the data either as a regression problem (assume the outcome value is continuous) or classification problem (assume the outcome value is 1/0) I do not care the machine

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    ...given [đăng nhập để xem URL] in a way it analyzes [đăng nhập để xem URL] with 90% or better accuracy. Notice: The solution must be some kind of training based solution. For example, a bayesian classifier, ngram analyzer or artificial intelligence or machine learning of some sort. The solution must not be based on any regular expressions or fixed (human written)

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    Maximum likelyhood and bayesian methods for separating data. More details to be provided.

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