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    4,904 classification rbf matlab jobs found, pricing in AUD

    I am AI developer so I am going to prepare training data with 8000 images. Candidate have to classify these images into 4 classes such as male(over 15 years old) female(over 15 years old), boy and girl. I want to finish this work in 10 days. Thanks

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    I want to build ANN model and ResNet model for classification of wildlife animal.

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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 predefined medical concepts, such as disease, symptoms, Diagnosis and treatment. We propose the use of sentence embeddings, with deep Residual Networks with with residual connections and range normalization simultaneously, and t...

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    I need someone wit...with knowledge of machine learning classification and clustering in Python to help me go through the coding. It's a movement classification problem where I have different exercises that I've extracted different features and I just need a way to match the exercises with an algorithm like DTW for the classification to work properly.

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    Input : a) A folder with multiple excel files, each containing around 200- 500 posts of one person. b) Another Excel File containing many ...analysis on the classified posts and should be able to show people having similar sentiments about something in a connected graph The code should be able to do similar classification for audio files as well.

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    ...department. Eg.: if we input title text as Plant pot, the app should identify the main category (home & Garden) and its sub categories based on google taxonomy listing classification based on USA Google Taxonomy listing. The app/software to be developed for as a Desktop Based App If excel uploaded with Product Title, we need to have artificial intelligence

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    Transferring deep convolutional neural networks for the scene classification of high-resolution remote sensing imagery. Remote Sensing. This is the research paper i want to implement the algorithm given in this research paper.

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    ...Net Promoter Score - provides insight into your customer relationships and loyalty by telling you how likely customers are to recommend your brand to someone Concern Classification - This is a breakdown of the top categories of 'things' customers are not happy with for an ecommerce experience for example page response - slow, products not available

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    I'm looking for a proofreader for translated English text to German. The subject of the text is information classification. Start Wednesday Dec 12, around 14h (GMT+1), deadline Thursday Dec 13, around 12h (GMT+1). The following points are important: - Use an active writing style and B1 level language (Google for more information about B1 level). -

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    ...data mining mining text, Web, and other unstructured data data cube-oriented multidimensional online analytical mining visual data mining knowledge discovery association classification clustering regression normalization frequent pattern generation pattern discovery perform information filtering on the web business and E-commerce data scientific engineering

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    I want to have a convolutional Neural network model which performs classification of images on CIFAR-100 dataset with better accuracy

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    My permit has been declined due to my architect plans. I need someone to specify how to add work classification to a permit and method of compliance.

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    I would like someone to teach me the below things in R software by using some data: 1.classification: decision tree and random forest 2. K-fold cross-validation [login to view URL] curve

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    research project 13 hours left

    ...results through the Featured Vector stored in HDFS format (Hadoop Distributed File Format). v. During Brain Tumor classification, we will apply a classifier on featured vector, those will be input for the classifier. vi. Specified classification has to be applied to parallel computation (Map Reduce Frame Work) and on the classifier, to get the expected

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    We need a program that will extract file information from the website [login to view URL] to a spread...Mailing Address: USDOT Number: State Carrier ID Number: MC/MX/FF Number(s): DNS Number: -- Power Units: Drivers: MCS-150 Form Date: MCS-150 Mileage (Year): Operation Classification: Please email with additional questions.

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    We are a small Miami Based technology company and need a financial analyst with good Quickbooks knowledge to prepare m...and need a financial analyst with good Quickbooks knowledge to prepare monthly reports to the board. Mostly follow up on key performance indicators, cash flow and class classification to determine profit by class on a monthly basis.

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    we have a flow chart with the steps of our projects and we have a problem with matching each line of the code with the steps. can you help?

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    use clustering algorithms for text classification

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    I have big data the size 5gb. These data poi...Machine learning will be applied to this big text data. Searching for Machine Learning expert,Specialist in the following subjects; -Knowing supervised learning methods, (classification and regrassyon methods) - Knowing machine learning training -Knowing big data(dataset 5 gb) - Knowing [login to view URL]

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    ...excellent data scientist expert in the following topics: (should understand academically projects) Supervised and unsupervised learning Classification, Principal components analysis PCA, Clustering Linear regression Classification: LDA, QDA Cross-validation Model selection and regularization Decision trees Support vector machines Boosting, Support vector

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    Hello, I am looking for someone with experience in machine learning techniques and R whom can do an analysis on a dataset; this will be a classification problem and will need supervised learning techniques applied. The dataset will include around 2 million rows of data and 60 independent variables. Within the most current version of R, walk through

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    Looking for a continuous engagement with defined phased deliverables. Objective/Goal- 1. Image to wearable extraction - All Demography 2. Wearable classification based on a set of other labeled data Required - 1. Should be expert in the domain with work portfolio in related projects involving CNN, GAN etc 2. Should be able to comeup with more

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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) ,symptoms, diagnosis, assessments/conclusions and treatment. We propose the use of sentence embeddings, with deep Residual Networks with with residual connections and range normalization simultaneously. For identifying information such ...

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    Classification of flowers Basic program Subject: Artificial intelligence Convolutional neural network is technique Gives input pictures of flowers and train computer to recognize it into 10 classes 80% of data should be given for training and 20% for testing I have link for data and resource is kaggle I can share the link

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    My project about data mining in education to find a new way to improve student performance by using Matlab and R language, the ensemble classifier my aim to achieve to get the better result

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    ...can obtain the financials of companies within the same sector or Standard Industry Code as Apix Printing (e.g., commercial printing), and that the North American Industry Classification System (NAICS) Standard Industry 2012 code for Apix Printing is presently 323111. Use the FINC615 Library Guide to search for two other companies in the same industry as

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    ...can obtain the financials of companies within the same sector or Standard Industry Code as Apix Printing (e.g., commercial printing), and that the North American Industry Classification System (NAICS) Standard Industry 2012 code for Apix Printing is presently 323111. Use the FINC615 Library Guide to search for two other companies in the same industry as

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    Evaluate and compare the predictive performance of these methods based on Bank Marketing Data Set. USE R software Method Classification tree; Random Forest; Support Vector Machine; Linear Discriminant Analysis; Quadratic Discriminant Analysis

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    ...quality assurance. The research works are conducted in the Computer Science areas like, Internetworking, Internet QoS, Cloud Computing, Decision Support System, Bayesian Classification, etc. The research papers are written in English. Please note that, only academic researcher freelancers are preferred. The successful freelancer should be able to demonstrate

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    Matlab (2015) code for Classification of EEG signals Using FFT like in the video here: [login to view URL] and with the database in a separate file. wanted within 24 hours or maximum 2 days.

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    ...the task number (2), we aim to develop a new feature to the breast density classification on a fourfold scale. The scale is ordered by A, B, C and D, where A is the less dense (or adipose) and D is the densest. Finally, the task number (3) is the development of a classification system for each medical image so that each modality can generate meta-information

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    The Dataset contains Latitude, Langitude, Datetime and Movement Status and few other colums. Need help in building Classification and implementation of algorithms for the dataset. The implementation has to be done in python preferably.

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     Self - Internal control, Risk assessment, governance & Audit procedures.  Industrial Costs Statement, Cost tabulation and classification, budgets &cost per unite.  Financial statement &reports, its Audit procedures tests and financial analyses.  Accounting cycle: daily vouchers, Journalizing, ledgers, trails, annual profit plan &Balances.  Analyzing

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    ...detection method. Ready libraries should not take part in the project. For example EmguCV, [login to view URL] etc. All calculations and training libraries, completely written by hand. Classification with Adaboost. No console application. It will be a form application. After the training is done, the image for the test will be selected from the form and the object on

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    ...detection method. Ready libraries should not take part in the project. For example EmguCV, [login to view URL] etc. All calculations and training libraries, completely written by hand. Classification with Adaboost. No console application. It will be a form application. After the training is done, the image for the test will be selected from the form and the object on

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    ...number of clusters and visualize the data using matplotlib). Analyze which columns would be better for clustering, by customer id, product, date ??? 3) 3 INSIGHTS for Classification (Decision Tree - Looking for complex and interesting insights. No simple one liner solutions please. Classify the data based on any column that makes sense. Once the task

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    ...representative-based clustering Measures Of Dispersion T - Test graph mining for clustering use CURE, ROCK and Chameleon Rule-Based Classification and Instance-Based Classification and Naïve Bayes Classification and Support Vector Machines coorlation aggregation anomaly detection (grubs test) Sentiment Analysis Association Rule Mining(if possible)

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    ...The user pic will be processed in Azure for face recognition. 3- According to the recognition result, the system will get in a database a text that fits its recognition classification. 4- It will add the text in the picture 5- will return it to the user The system also need to allow admin to upload new texts and choose category for them. Example:

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    I need the manual testing and classification/tagging of a long list of business websites. I will be providing an Excel spreadsheet with 2 columns. First column is approximately 5100 website addresses. I need someone to go to each website, and to fill the second column of the spreadsheet with a specific tag that classifies the specific type of company

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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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    Require a python script that can analyze an image and classify the strings so the response will indicate what is a first name, last name, address, company name, etc. Using machine learning, each item after extracting and recognition each detail in the image should have the capability to train and classify. The response will need to be in a JSON format. The script is to be hosted on AWS Lambda.

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    Implementing and testing Kernel Logistic Regression, semi-supervised kernel logistic regression

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    1-Create/Collect supporting raw dataset as CSV file. 2-Choose a data science supervised learning approach you want to explore and implement in Python: data classification problem, regression problem or text sentiment analysis. 3-Write and turn in compiled Python script that implements the model. 4-Your script should have train/test data subsets. 5-Run

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    please see attachment for more details about a ​different approach to do this project

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    I need you to develop some software for me. I would like this software to be developed using Python. I am looking for a machine learning and a data science peofessional who understands Neural networks.

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    ...Recognition System (Security and Challenges) • The clustering method of fingerprint flow map and coherence • A novel a method for calculating a fingerprint gradient • Classification and Matching of Fingerprints • A Fingerprint Matching Algorithm • Fingerprint Minutiae Attack System • Fingerprint image enhancement • Fingerprint image segmentation •

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    ...domain specific training method. It is descibed here: [login to view URL] Figure 1 to be more precise. Some more info about the method [login to view URL] 3. Use transformer architecture in traning part: in accordance to [login to view URL] or [login to view URL]

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    Working on Using ResNet, Inception V3, VGG19. While Building an image classifier, I have trained in batch-wise. After training, I am getting accuracy on the dataset but getting poor accuracy on different images. On my dataset validation accuracy is good and validation is also decreasing. I acquired the validation accuracy of 88%. But when I use the same model to classify images captured from a ...

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