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    2,222 model predictive control use quadprog jobs found, pricing in USD

    Help and tutoring in machine learning and building predictive models on hourly basis, at least 5 hours a week.

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    Trophy icon LOGO and a Company Profile 14 days left

    ...verification Record verification Fraud detection /prevention Calls Welcome / thank-you calls Continuity sales calls [login to view URL] highlights at Synotrix Global: An industry renowned Predictive Dialer for outbound campaign excel and achieve maximum productivity International Leased Data and voice connectivity by VSNL,Leased Data and voice connectivity Enhanced

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    1. Cluster stocks based on the price momentum by generating association rules 2. Use the clusters or association rules to determine the price momentum pattern 3. Develop a predictive model using SVM

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    Need to determine patterns out of a dataset consisting of various parameters and drawing relevant conclusions out of it. Choice of technology stack R/Pyton/Tableau and similar.

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    I am looking to build predictive analytics based on sensor data. Looking for professionals with tensor flow python experience

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    This project would consist of looking at the psychometric utility of a number of measures, and determine their relative predictive utility. Finally, a short summary of results document or powerpoint would have to be generated. If you're interested, let me know, and also let me know what your hourly rate for this task would be.

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    Pythan developers 2 hours left

    Roles & Responsibilities: Should have 3+ years creating predictive models using advance machine learning techniques Should have an expert command of statistical analysis, algorithm development, and state- of-the-art, tools and methodologies for data science Should have expert command of SQL and R or Python as applied to data science with experience

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    ...for all manufacturing verticals including automotive, pharmaceuticals, machinery, oil and gas, electrical power generation, water - Smart Meters - Industrial Sensors - Predictive Maintenance - Water Management - Chiller and Air Flow Management - Supply Chain - Inventory Management - Shop Floor Management Experience in Smart Manufacturing, IoT

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    ...Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dataset which includes features of SME customers in Jan 2016, as well as the info about whether or not they have churned by Mar 2016. The prices from 2015 for these customers. How: Use the trained model to “score” customers in the verification

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    Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dataset which includes features of SME customers in Jan 2016, as well as the info about whether or not they have churned by Mar 2016. The prices from 2015 for these customers. How: Use the trained model to “score” customers in the verification

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    ...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 build a predictive model. We have considered housing data of 3000 properties. Logistic Regression, SVM

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    Hello I need someone who can do model predictive control with Kalman filter and I have to do this to control the speed of induction motor. I need the simulink model, the entire system . the kalman filter is used to estimate mainly the rotor flux,I need to use the MPC to control thee velocity , the kalman filter is a secondary thing Kindly, check th...

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    For Ongoing Work. Looking for an experienced Developer. Knows Alteryx Data Management and Integration ETL process Data Segmentation and enrichment Predictive Analysis Tableau and other Analytic tools for interactive Dashboard development. SSO With Tableau Online [login to view URL]

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    Data mining software We want software engineer who can develop a program for ICU patient monitors. the data are retrieved and compared ...and compared with medical available data ( we would provide that data , but u ahve to fill it on the tables) and the data mining gives analytics based on comparitive and predictive based on previous old data study

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    Hello I need someone who can do model predictive control with Kalman filter and I have to do this to control the speed of induction motor. I need the simulink model, the entire system . the kalman filter is used to estimate mainly the rotor flux,I need to use the MPC to control thee velocity , the kalman filter is a secondary thing Kindly, check th...

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    Hello I need someone who can do model predictive control with Kalman filter and I have to do this to control the speed of induction motor. I need the simulink model, the entire system . the kalman filter is used to estimate mainly the rotor flux,I need to use the MPC to control thee velocity , the kalman filter is a secondary thing Kindly, check th...

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    Hello I need someone who can do model predictive control with Kalman filter and I have to do this to control the speed of induction motor. Kindly, check the attached file given here below, thanks

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    Predictive parser for programming language in C++. More details to be provided.

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    ...type app. The following features are required. 1- Needs to use the exoplayer for Video playerback ([login to view URL]) 2- Needs to have video upload function interested with the website 3- needs User registration to be integrated to the website. 4- search feature with predictive text The design of the app needs to be based on the YouTube/daily

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    Hello everybody Have anyone ever tried or did a model predictive control with Kalman filter? I have to do this to control the speed of induction motor but I don't know how start it. Someone can help me? Thanks

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    ...classification, clustering, time series analysis etc. Extensive experience in Data Analysis - Skilled in uncovering insights and identifying patterns. Proven experience in predictive modelling using R/Python. Strong programming background in at least one - Java, Scala or other object oriented programming languages. Must have strong SQL experience NLP

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    ...Amazon Machine Learning (Amazon ML), you can build and train predictive models and host your applications in a scalable cloud solution. In this project, you will use the visualization tools and wizards of Amazon ML to guide you through the process of creating a new machine learning (ML) model without having to learn complex ML algorithms and technology

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    ...Architecture Design Enterprise Data Management Analytics and Data Visualization "We offer end-to-end customized data solutions from data collection, processing, integration, predictive analytics, and visualization. " "We are experts in extracting actionable insights from data; in aligning and centralizing disparate systems and  ...

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    ...specific examples that I am requesting. 1. Create ConfirmAccount access control. Anyone can register, but they need to be approved by an admin: ([login to view URL]:ConfirmAccount) 2. Create 4 portals: Historical, Contemporary, Comparative, and Predictive. 3. Historical: Create 1 page for a country or empire that no longer exists

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    We combine advanced flood modelling, predictive analytics and machine learning to provide critical insight on flooding and flood risk. We work with insurers, reinsurers , brokers, national and international government organisations, and strategic partners. We need a freelance PR agent who has worked closely with the press and has strong relationships

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    ...(range: 0.0 – 1.0) • Statistics • F1 Score • True Positive Rate (Sensitivity) • False Positive Rate (Fallout) • True Negative Rate (Specificity) • Positive Predictive Value (Precision) • Negative Predictive Value • Accuracy • Matthew’s Correlation Coefficient • Confusion Matrix • Chart of Actual against Predicted ...

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    Trophy icon Build our front page Ended

    ...it will redirect to our main website (which is a MediaWiki) 3. BONUS POINTS: When clicking a country, it should show 4 categories: Historical, Contemporary, Comparative, Predictive 4. Below the website should be 4 social media accounts: Facebook, Instagram, Twitter, Pinterest (this can be a hover-over option) 5. The entire vibe or theme should be

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    We are forming a new company specialising in radiology image analysis. We need help to find initially a logo design. Our company name will be Predictive Radiology or Predictive Radiology Services with a tag line of solid technology. sound thinking. Competitors in our space include for examples of logo styles : Aidence AIDoc Medical Arterys Advenio

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    i need a group of 5 or 10 agents that can automatizieded the dialing of iprn numbers , isntead of the person has x phones , it can be used in predictive dialer or a goip gateway ,, all with the assistan of the best freelancer expertise...

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    ...dots in the data jungle; •Powerful pivoting and cross tabulation across all data modules (respondent, product features, and sales...); •Statistical models execution –Predictive analytics, Sig. testing, Segmentation, Driver analysis; •Data visualizations through interactive dashboards; •Creation of advanced analysis and modeled variables by

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    I would like develop a 3D animation video for a predictive maintenance platform in the infrastructure sector.

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    ...of marketplace app is to enable small to large businesses to find the right talent (freelancers, udemy/lynda alike masterclass trainers) very quickly & seamless through the use of our project management tools. Solve the problem of individual project management, freelancing, video-on-demand e-learning platforms across many industries: fashion, toys,

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    Are yo...video optimization platform with a new cutting edge technology that matches video attributes to the most fitting social media audience based on their behavior patterns. We use predictive algorithms as well as machine learning to find overlapping sets between videos and people, so that each video we show hits the sweet spot for the viewer.

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    ...be given. 2. Use the best forecast model (preferably machine learning model) like Gradient Boosting Regression 3. You can use any language to code the model. 4. The model will be based on the data stored in a mysql database. And this forecast code will be used on a website for users to use. So the code should use real time data to model...

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    ...have on paper, I know) 3. Upon hovering over one of the 5 categories, each category should then pop up 4 subjects: (1) Historical, (2) Contemporary, (3) Comparative, (4) Predictive 4. Upon clicking on a subject, it will lead to another Wiki page where people can contribute directly. 5. On the bottom will be a chart of some kind to display 5 accounts:

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    I need help with categorical data analysis and also with NRMS.

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    ...system based on OSHA and accepted industry incident reporting. Beyond this as data is available by inspection data and based on current activities, the system will provide a predictive ability to focus inspections to prevent incidents seen as most likely by algorithms. The target industries for this product is oil and gas, mining, large scale construction

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    I need help in categorical data with help of Predictive mean matching. Also NRMS calculation is needed.

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    We currently have a hosted freePBX system and we are in need of a predictive dialer module. Here are what we expect: The dialer will automatically call a list of customers and when they pick up, it will route the call to an available agent.

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    ...I want to use deep learning (including but not limited to tensorflow) to analyze and improve, for ex, determine which predictions more likely correct. I want it to look for numerous patterns such as if right one day the chances are higher or lower it is right the next day and so on. Bottom line I want to be able to improve the predictive accuracy dramatically

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    ...system based on OSHA and accepted industry incident reporting. Beyond this as data is available by inspection data and based on current activities, the system will provide a predictive ability to focus inspections to prevent incidents seen as most likely by algorithms. The target industries for this product is oil and gas, mining, large scale construction

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    use predictive control is used to regulate the dc bud voltage in the grid with feaure of the prediction.

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    use predictive control is used to regulate the dc bud voltage in the grid with feaure of the prediction.

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    ...completely automated solution and it chat with victim and typically replies in seconds. Anti-Ragging Helpline Bot will also visualize the data of complaints and also performs predictive analytics which helps in predicting the future ragging complains and necessary actions can be made....

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    ...application on the Appstore and we need to add the predictive text bar option to it. An open source code for the prediction bar should be used, it shouldn't be made from scratch kindly don't apply unless you have experience in working with keyboard apps or already know your way to find a functioning predictive text bar open source code to implement in this

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    use predictive control is used to regulate the dc bud voltage in the grid with feaure of the prediction.

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    Hi, i need some urgent help right here with R programming. I have to come out with two insights as well as a predictive model using a set of excel data in R programming. Its a quick project and i need it very very urgently, hope you can get back to me real soon..

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    AI modelling for Customer Experience Management

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    I need predictive data analysis for complaints data set using python and SCIKIT

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