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    4,786 data entry site classification part jobs found, pricing in AUD

    ...and cardiac related data) 2. Data storage to be done on public cloud 3. Application of a new classification mechanism of machine learning identifying the drawbacks of previous existing classification techniques and designing a new one which solves or overcome the drawback of previous techniques to label all the cardiac related data based on its extent

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    ...digit 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

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    ...dataset published by the Government of Ontario from the following link: [login to view 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

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    Classification Problem 5 days left
    VERIFIED

    Implementing and Testing Kernel Logistic Regression, Semi-Supervised kernel Logistic regression

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    Simple TensorFlow project. Process data CSV file. This is a classification project with 4 inputs on the input layer and 4 outputs on the output layer. There are only 18 rows of training data and 7 rows of test data. I would like three layers in the hidden layer. This is a simple project so I can see how to read csv files into TensorFlow and train

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    I need to develop a mobile app (preferably for iPhone/iPad) to input boring data from the field. The idea would be to capture the data in real-time that can be viewed from an office anywhere in the world. It would require a simple user interface with basic inputs to be logged as samples are being recovered from the boring. It may help to explain the

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    ...content tagging (Part-time Job or Internship) Job description: 1. Tagging news articles & videos 2. Read the English news article and find the category & keywords Job requirements: 1. Have a good understanding of content(news),can quickly identify its classification, extract its keywords; 2. Priority will be given those who have prior data tagging experience

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    H...project which will not take more than 2-3 hours for the right person. Essentially, we need to use: - Logistic Regression for feature selection - Decision tree and SVM for classification You need to be available to work immediately for next 3-4 hours and you will work together with me to implement it. Please let me know if you are interested.

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    Help with r programming 3 days left
    VERIFIED

    I need help with some simple R coding, you must understand logistic regression, SVM, KNN, Classification tree and random forest. I have some code and a dataset that you need to look at. Please mention that you read this text and you can help me get my code fixed. Thanks,

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    Please write a 5 paragraph CLASSIFICATION essay on the following topic. the essay has to be double spaced new times Roman 12 and should be written in the third person tense. DO NOT USE " YOU". The thesis statement should be: A job classification correctly done, is through thoroughly describing its responsibilities experiences and education of the

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    Azure Machine Learning and Statically Analysis using R programming, Spark , Haddop mapreduce. Text classification, Sentiment analysis,Predective ecpriment.

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    ...identification and detection of arrhythmia rhythms from ECG signals extracting heartrate(RR)signals. Using algorithms, we should be able to do the classification of different types of arrhythmia from classification of normal and abnormal signals. Therefore, speeding up the process to detect type of arrhythmia and reduce the prone to make errors through visual

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    build from scratch a tree classification algorithm in R. Feel free to contact me for further details.

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    I need help with image classification api. This is simple project. API will return json file. If input image is trained, its confidence will be high , if not, its condition will be low (perhaps it is lower than 50%). Image data set is given. I'm looking for freelancer with good skills of tensorflow and python.

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    Need a TensorFlow image classification application written that will be deployed to GCP's ML environment. See attachment for details.

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    ...2 years of US IT Recruiting experience * Maintaining active database of OPT candidates * Strong experience and understanding of US OPT/CPT Hiring * Knowledge of visa classification Terms Rules & Policies H1B OPT Stem OPT H4 EAD and TN Visa *Knowledge of Employment Type w2 Corp to Corp 1099 * Good Knowledge on H1 Transfers * Proficient in using

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    Classify Youtube channels based on whether or not they would be a good brand fit for a meal kit delivery services

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    We need to develop a AI Functionality where we would be able to identify object from a set of images to classify images that corresponds to a selfie. Our images are eterogenous and we provide images file and metadata in a CSV file. The output of the tasks is to provide the CSV file with the tag=Selfie for all the images recognized as a selfie. Moreover a simple web interface is requested to naviga...

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    ...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 trends. experience with SQL, Spark, or Hadoop. Develop prototypes

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    we need a video to broadcast in TV with a chart (like sport ranking chart) we will provide you the excel file with the chart and you need to made a motion graphic vide...video to broadcast in TV with a chart (like sport ranking chart) we will provide you the excel file with the chart and you need to made a motion graphic video like f1 classification

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    Using ANN KNN KMeans Decision Tree SVM algorithms do the classification

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    Hello, I have written an article about the classification of ECG signal and denoising. I want to implement filterbank analize in the article and need to fix this asap. The material will be shared in chat.

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    Hope you are doing well! This project is on machine learning so one must have good machine learning back ground. The task is to segment...architecture using Keras and tensor-flow. All relevant material and code will be provided which I have implemented so far. So the problem is to extend my work on a different model. Data set is gray level MRI Images.

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    - arduino based - i need to detect Carbon Monoxide (CO) and LPG by using at least 3 MQ gas sensors - fuzzy logic of classifying these two gaseous - full code of very simple to understand + comments - detailed project can be downloaded at the link

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    ...We need: Advance inbound contact center set up, but we are the back office to other contact centers so the data that is collected must be linked / exported to our customers DB, is it possible to set up a API? Or how can we transfer the data for our client. Admin user - Call center owner only one to be [login to view URL] down/ Delete the system. IT administrator-

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    I need someone to rewrite Introduction Section related to Heart Arrhythmia classification using ECG signal to remove plagiarism. Writers with a background of Machine learning and signal processing will be preferred.

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    ...Predict stock prices for the forecast at least 5 stocks over 3-6 months. - Highlight the accuracy of each prediction for each stock prediction at any given time If you can scrape data such as market Sentiments (News, Social Media, Press Release and etc) from the web that would be a plus point. Requirements: - Examples of other projects done on Azure Machine

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    Looking for a freelancer with experience in ML classification and probability prediction using R packages, eg xgboost, H2O etc. Please note you will need to demonstrate previous experience with similar tasks and how you finetune your algorithms.

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    In the Input section the database(Collection of Email like 10,000 mails), Pre-filter and classifier( based on the Naive Baye's algorithm) link attached at the bottom. In Output section, it should be a Spam mail and Non-Spam mail. 1) Use of Dynamically modifying database to store the previously checked Emails and program to append currently scanning Emails. 2) Percentage of Spam. 3) Efficienc...

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    i want proposed system for prostate cancer classification using CNN and RBM

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    I need you to write some content for résumés & cover letters. I need 200 sentences written on a particular job/skill that can be used in a résumé. For example: Classification: Administration “Managed customer service & administrative tasks, resolving customer issues quickly & efficiently”. Further information will be given on the spec...

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    Text Mining (Fetch data from rotten tomato website and make a classification model for Hit/Flop movies).

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    ...we often send out surveys and questionnaires. The input data from these are either keywords or short phrases. For following sessions we then perform data analysis to present these keywords or phrases in clusters. This has been done manually, but we would like to know more about possible data mining tools we could use to automate this process in the

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    Hi Vivek V., I noticed your profile and would like to discuss a project to increase...discuss a project to increase the traffic to our website [login to view URL] All traffic must come from White Hat methods and methods that meet Google classification. if successful we will have other projects for you. Let me know, Thank you, Andy

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    The first task will be, before implementing automatic classification, is to generate , train , and compare auto-encoders. The actual classification task will only then be studied by inserting an auto encoder into an MLP classifier. The dataset can be chosen. Guys who bid high,please do not bid. I am on a tight budget.

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    ...second-hand car parts market. All dispensing centers can register for this alliance and enter their auto parts for sale autopart Some of the important remarks... CLASSIFICATION OF PARTNER LOCATIONS - Depending on size, location, quality of unpacking and preservation of disassembled parts, type of partner - standard or those who pay and join the

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    Requirement is to build an eye blink detector with classification (open/closed eye) using linear SVM classifier with HOG features and the LeNet-5 CNN.

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    ...helps in the indication of the amount of runoff volume, which is the part of the rainfall which is not absorbed through the soil. The idea is to classify the land-cover of satellite urban area images as permeable and impermeable segments, then use the result of this image classification with an uncalibrated InfoWorks ICM model to improve the calibration

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    This is an image classification project for the nylon injection industry. You will deliver the code to load, train, and predict classes of images. You will be working with Python, Tensorflow and OpenCV. You are a self entrepreneur with very good communication skills and proven background on Python and image classification using Tensorflow. You will

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    ...helps in the indication of the amount of runoff volume, which is the part of the rainfall which is not absorbed through the soil. The idea is to classify the land-cover of satellite urban area images as permeable and impermeable segments, then use the result of this image classification with an uncalibrated InfoWorks ICM model to improve the calibration

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    FPGA, Embedded system writing and classification.

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    I need to use the attahed data, to write a classification machine learning algorith inl order to detect if messages a whether spam. Please, I need the code and outputs on Juliper Notebook Python 3, as a report, explaining all your findings. You can see information about this data here: https://archive.ics.uci.edu/ml/datasets/YouTube+Spam+Collection#

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    I need a machine learning script to run a classification using decision trees.

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    Hi, I am attaching my datafile below. I require to achieve the following results - 1. Identify the topics in column B and D (Each topic is defined by the fuzz.partial_ratio being greater than 70 among the strings). Identify the keyword around which the string is classified into the topic 2. Arrive at counts and percentages of the topics

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    I want a software which can be able to trace traffic from video and counts them with there classification .

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    data preprocessing, classification and Decision Trees methods in R

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    Random Forest regression random forest classificaton

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    Am looking for SDN developer. Firstly, I want to implement online traffic classification (semi-supervised techniques on incremental kmeans) that classifies service types to elephant flow and mice flow in software defined networking (SDN) , and after that metering the total number of packet, and total number of packet (uplink) , total number of packet

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    I need a deep learning model to identify important medical concepts mentions from clinical documents, and classify them into personal identifying information (PII) and the four SOAP predefined categories, such as disease, symptoms, treatment etc. We propose the use of sentence embeddings, with deep Residual Networks with with residual connections and range normalization simultaneously, and transfe...

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