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    2,000 data clustering jobs found, pricing in GBP

    As an enthusiastic data client, I'm seeking a proficient and reliable individual who can take on combining multiple XML files for a data clustering task. Although I lack specified interest in any particular data clustering technique, the aim of this task ultimately is for data integration. Noteworthily, your skill set should encompass: - Expert level proficiency and hands-on experience with XML files. - Deep understanding of various data clustering types, including partition-based, hierarchical and grid-based clustering. - Excellent problem-solving skills, proactive in suggesting the best data clustering technique suitable for this project. Your role will be critical in creating a centralized system from ...

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    ...for supporting data analysis, are there any important changes on the insights of visualization and visual analytics? Make an argument for this. If there are, describe what the key changes are. If there are not, discuss your reasons. You should use examples or evidence of prior work from class or elsewhere (for which you should give the reference) to support your argument. You can find the two papers in the attachment. Development & Analysis: Given the car dataset in the attachment, you need to do a visual analysis of clustering these cars. 1. You should pick at least four columns for clustering the cars. You are free to decide which columns to use and determine your rules for performing the clustering. 2. Using web-based techniques (e.g., D3.js) to visu...

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    Aim: Need to identify different types of skin discolorations like Nevus of Ota, Mongolian spots, Nevi, Albinism, and Melasma. Suggested Techniques: Binary conversion, color image conversion, gray-scale conversion, watershed method, noise reduction methods, K nearest neighborhood, morphological operation: erosion-dilation, clustering, Median filtering, edge detection, pixel count, object recognition, and threshold analyzing methods are used in this research to disclose the skin pigment discoloration information I am seeking a professional to execute an image segmentation project. The primary objective is to enhance, segment, and isolate areas of interest within a variety of medical images. Given that the type of medical imaging isn't specified, an ideal candidate should have...

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    I am seeking a developer to create an algorithm that can make a single prediction based on data from existing datasets. I have looked at the available choices and decided that numbers will be the best form of data to have inputted into my algorithm. The goal of this algorithm is for it to make a single prediction, rather than statistical clustering or a range of predictions. The inputs available to the algorithm will be data from existing datasets. This algorithm needs to be powerful, accurate, and efficient while making reasonable predictions. The ideal developer will be skilled in utilizing machine learning, deep learning with neutral network and artificial intelligence, and other related technologies to help create the best possible algorithm.

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    ...functional analysis web page. Key Requirements: - In-depth understanding of website creation, particularly focusing on analytical data presentation. . You should pick at least four columns for clustering the cars. You are free to decide which columns to use and determine your rules for performing the clustering. 2. Using web-based techniques (e.g., D3.js) to visualize your clustering results. a. Use a circle to represent each car. b. Cars in the same cluster should be spatially placed near each other. c. Use different colors for different clusters. d. When mouse-hovering or selecting a car, you should show its detailed information from the given dataset sample data Model MPG Cylinders Displacement Horsepower Weight Acceleration Year Origin chev...

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    ...dataset in the attachment, you need to do a visual analysis of clustering these cars. 1. You should pick at least four columns for clustering the cars. You are free to decide which columns to use and determine your rules for performing the clustering. 2. Using web-based techniques (e.g., D3.js) to visualize your clustering results. a. Use a circle to represent each car. b. Cars in the same cluster should be spatially placed near each other. c. Use different colors for different clusters. d. When mouse-hovering or selecting a car, you should show its detailed information from the given dataset. 3. You should answer the following questions, in addition to submitting your code. a. Which columns do you choose to perform the clustering? b. What is your rule...

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    I'm searching for an Artificial Intelligence expert to develop a program that can understand and interact with my local database. Your work will involve; - Training the AI to perform data classification, clustering, and prediction. - Programming the AI to utilize this data to generate new documents. - Specifically, these documents will be engineered judgment reports. Ideal skills would include proficiency in AI, machine learning, data processing, and report generation, with a penchant for accuracy, detail orientation, and understanding complex engineering terms and concepts.

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    ...paper) - Feature extraction: (make sperate folder after feature extracted) 1. Time-domain features - *short-term energy of signal, zero crossing rate, maximum amplitude, minimum energy, entropy of energy* 2. Frequency-domain features- * MFCC - [12 (form 26 mel freq), 13 delta,13 delta acceleration ], spectral centroid, spectral rolloff, spectral entropy and chroma coefficients* - Do K-means clustering, make confusion matrix and do MLP perceptron. choose epochs as per needed - Make a user interface model where input audio of unknown sample (3- second) is given and it can give o/p as emotion. (like use django or any other) Key Responsibilities: - Developing and implementing a speech recognition model - Ensuring the model can accurately process multiple languages ...

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    In this project, I am looking for a seasoned data scientist and analyst who will work on my compiled inventory, customer, sales, and financial data. I aim to provide our customers with valuable market data to position themselves. Key responsibilities will include: 1. **Predictive Analytics**: Utilize machine learning algorithms to forecast future sales based on historical data, market trends, seasonality, and other relevant factors. Techniques such as regression analysis, time series forecasting, and ensemble methods can help you predict sales with greater accuracy. 2. **Customer Segmentation**: Apply clustering algorithms such as K-means clustering or hierarchical clustering to segment customers based on purchasing behavior, demographics...

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    I require a Machine Learning expert who can proficiently work on A3C with LSTM and PPO using a Transformer or LSTM in Java (DeepLearning4j). The goal of the project is not specific, but involves skillful use of these ML algorithms. The freelancer can choose the path they find best, based on their expertise in either classification, regression or clustering. Ideal skills for this project would include: - High proficiency in Java - Firm understanding of machine learning, specifically with A3C, LSTM, and PPO - Experience with Transformer/LSTM - Problem-solving skills When bidding please include: - Relevant Experience - Past work in this area - A detailed proposal on how you would operate in this project I look forward to working together on this rich AI endeavor.

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    ...strategies across industries by employing state-of-the-art data analytics, natural language processing (NLP), and machine learning techniques. The project will involve the creation of a robust system capable of collecting and analyzing customer data, segmenting audiences, generating customized marketing content, and providing product recommendations based on user preferences. Key Project Phases: 1. Technology Selection: Identification and selection of optimal technologies, including Large Language Models (LLMs), NLP frameworks, and data analytics tools to ensure scalability and efficiency. 2. Data Collection and Preprocessing**: Implement techniques for extracting relevant customer data from CRM systems and databases, emphasizing data quality...

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    With a focus on the reorganization of data, this project requires the implementation of a Graph Neural Network to conduct graph clustering tasks. Working with Social Network Data specifically, we aim to uncover patterns and gain deeper insights. Key Requirements: - Proficient in Python programming, as it is the platform for this project - Understands the specifics of Node Classification, Link Prediction and, Graph Clustering - Demonstrable experience in working with Graph Neural Networks - Understands Social Network data structure Experience in graph theory or related fields and previous work with similar types of data are highly appreciated. This project calls for an individual who can operate meticulously, bringing substantial knowledge to the...

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    I'm in need of a capable freelancer to help with writing and ...with writing and implementing machine learning code in R. My project touches on several aspects of machine learning, mainly focusing on: - Classification - Regression - Clustering I have a specific dataset to be used for this project which you'll be provided with. When bidding, please highlight your proficiency in these areas, including any projects you've worked on that are relevant. Ideal Skillset: - Proficiency in R - Experience in Classification, Regression, and Clustering - Strong understanding of Support Vector Machines - Knowledge of Generalized Linear Models - Experience with Cross Validation and K-Means Clustering. Your proposal should clearly outline proposed methodologies, d...

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    Face based image clustering using AI I want to cluster images as per faced data, this application is for event managements and photographers. Event organisers or photographers upload all the photos of an event like exhibition or wedding. Users just had to upload selfie to get all photos where the user is present

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    ...experienced a notable decline in its top-ranking positions over the past three weeks. This downturn has accelerated post the Google Update in March 2024, prompting us to seek out a seasoned professional who can offer strategic insights and innovative solutions. Key Requirements: Extensive experience in achieving top 3 rankings for keywords with over 100,000 monthly searches. Mastery in onsite clustering and the latest link-building strategies. Ability to conduct thorough SEO audits and formulate effective recovery strategies. Familiarity with the latest SEO trends and the impact of Google's algorithm updates. Desirable Skills: A well-curated list of high DA sites in German and Dutch languages will be considered an advantage. We're looking for a candidate who is not o...

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    I am looking for an AI/Machine Learning Engineer with a proficient knowledge and experience in PyTorch and clustering algorithms. Your task will be to implement the Deep Continuous Clustering (DCC) algorithm, making sure to maximize efficiency and accuracy. Skills and Qualifications: - Expertise in PyTorch - Familiarity with clustering algorithms, particularly DCC - Strong problem-solving skills and a detail-oriented approach Project Specifics: - Implementation of the DCC algorithm using the PyTorch machine learning library - Adaptation and tuning of the DCC algorithm to meet the specifics of my project - Testing and debugging the algorithm to assure its functionality Please note that I have a specific requirement that PyTorch should be used as the main library for...

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    ...long-term agreement. The last time we filled this job position for over 2 years. 1) Data Analytics with Python Course: Content (introduction to python, data wrangling with pandas, descriptive statistics with python, data visualization with seaborn, t-test/anova /chi-square tests with python, correlation, regression with statsmodel) 2) Machine Learning with Python Course: Content classification(dcision trees, knn, naive bayes, logReg, classifier evaluation) regression (linear regression with normal equation, stochastic gradient descent, polynomial regression, ridge regression, lasso regression, elastic net, early stopping, regression trees) advanced supervised learning concepts (feature extraction, imbalanced data ,cross-validation, hyperparameter tuning wi...

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    As someone who is managing a business, I am seeking an experienced Data Analyst to dive deep into my company's financial data. Your main task will be to utilize cluster analysis techniques, to unearth crucial insights for future operational decisions. Ideal Skills and Experience: - Proficient in using advanced clustering analysis methods - Comprehensive knowledge of financial data analysis - Experience in creating data-driven operational strategies - Proven ability to create clear and comprehensive reports Ultimately, your analysis will be an essential driver of our operational tactics, making this a vital role for our company. Your keen eye for detail and exceptional analytical skills will be valuable assets, as we seek to optimize and streamli...

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    I'm looking for an experienced OMNeT++ developer who can implement the LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol for me. The main focus of the project is to improve the energy efficiency of a wireless sensor network which should help to extend the overall lifespan of the network. Here are the skills and experience I'm after: - Proven experience with OMNeT++ - Expertise in implementing networking protocols, particularly in wireless sensor networks - Solid understanding of the LEACH protocol - Knowledge about energy efficiency in wireless sensor networks All in all, the successful completion of this task involves designing and implementing the LEACH protocol using OMNeT++, with a clear focus on achieving energy efficiency in the network.

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    ML Engineer Responsibilities - Develop all data processing logic, combinations, and pathways for data preparation. - Implement ML models for clustering for outlier detection & removal. - Data ingestion pipeline requirements - Design & implementation of data science side of the entire Data Preprocessing Funnel Requirements - Proven experience as an ML Engineer or similar role. - Proficient in Python & related ML tools. - Familiar with ML algos. - Knowledge of statistical basis of ML models. - Ability to work independently and as part of a team. - Excellent communication and problem-solving skills. - Attention to detail and quality.

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    I'm in need of an adept software developer proficient in Python, with a solid understanding of machine learning algorithms and ChatGPT. The end goal is to create an automatic segmentation tool that will efficiently handle the segmentation process, specifically for numeric and categorical data. Ideal skills and experience: - Proficient in Python - Experience with machine learning algorithms - Knowledge of ChatGPT Specifically, I require the tool to: - Run segmentation or clustering independently - Accurately identify essential variables - Discard redundant variables - Iterate through available variables - Provide the optimal output results The tool should leverage machine learning algorithms to decide on the importance of variables. The ambition is to enhance the effi...

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    I'm currently looking for a Data Scientist who is skilled in Python and experienced in implementing unsupervised learning, specifically, the Hierarchical Clustering algorithm. This project involves clustering numerical data and I require: - The development of a Python script that implements Hierarchical Clustering. - Expertise in handling numerical data sets and understanding of their unique characteristics in the context of clustering. - Deliverable in the form of a Dendrogram visual representation and the resultant grouped data sets. Your strong understanding of machine learning and data wrangling scripts would be ideal to accomplish this. Understanding of data visualization techniques would also be desirable. P...

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    I'm seeking a proficient data scientist to develop an unsupervised learning algorithm in Databricks. The primary aim of this project comprises three-fold: data classification, anomaly detection, and clustering. The algorithm will majorly handle numerical data, so experience with this type of data is crucial. The project will involve working with a medium-sized dataset - between 1,000 and 10,000 samples. Ideal Skills and Experience: - Proficiency in unsupervised learning algorithms - Extensive experience with numerical data - Proficiency in Databricks - Experience handling medium-size datasets. Your primary responsibility will be creating an actionable, precise algorithm that can effectively classify the data, discern anomalies, and...

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    I'm urgently in need of assistance with the development of a machine learning model using Python and Spark. Key tasks and re...development of a machine learning model using Python and Spark. Key tasks and responsibilities will involve: - Understanding the project requirements and preparing a workflow. - Building efficient machine learning algorithms for model development. The specific type of model isn't determined yet, so it's critical for you to have broad expertise in different ML models – classification, regression, clustering and more. The ideal candidate should possess strong skills in Python and Apache Spark, with a rich experience in machine learning. An ability to deliver high-quality work under tight deadlines is also vital. Please reach out if thi...

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    ...looking for an experienced data scientist to utilize clustering techniques, ideally DBSCAN, for the segmentation of delivery areas. This project aims to construct delivery areas automatically, incorporating multiple dimensions including coordinates, weight/units, and road distances, type of delivery: Pickup/delivery. These factors are critical for optimizing the efficiency and effectiveness of our delivery operations. **Key Requirements:** - Strong proficiency in Python, as it is the preferred programming language for this project. - Previous experience with clustering, particularly with the DBSCAN algorithm, applied to real-world logistics or geographical data. - Ability to work with diverse data sources such as GPS coordinates, delivery records, and...

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    This research project focuses on exploring and comparing the effectiveness of constraint-based and semi-supervised clustering algorithms in the context of weakly supervised data. The project aims to identify which methodologies are more adept at handling datasets where labels are either incomplete, imprecise, or partially incorrect. The study will be conducted using two distinct datasets from different domains – one from the financial sector (such as stock market data) and another from a contrasting field like healthcare or social media. This approach allows for a comprehensive analysis across varied data types, including numerical and textual data. Key steps in the project include selecting appropriate datasets, preprocessing them to fit a weakly...

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    5 types of SPSS analysis data: 1) regression analysis, 2) analysis of correlation coefficients, 3)time series analysis, 4) clustering analysis, and 5) some descriptive statistics that are relevant and informative

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    ...individuals to latent groups for time series data. The focus lies on identifying latent groups in time series data, such as eye-tracking data. we hav 12 texts from physics and biology 6 texts each.. We hav 75 readers who are experts in physics and biology We need to use clustering algorithm to cluster the patterns..for example: get the similarity matrix generation using needle man wunsch...and apply unsupervised techniques like clustering algorithm like ward's, DBSCAN etc., on top of the matrix To find how are the readers who are experts and amateur in physics and biology are clustered or how are the users clustered does the domain knowledge or the expertise make sense in the clustering Like how the clusters formed for 12 texts...run...

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    We require a developer who can add marker clustering to a google map we have implemented on a website. The map currently shows via markers data from our database and we require marker clusters to display a large number of markers on the map. The number on a cluster indicates how many markers it contains. Please see the following guidance from google:

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    ...within a stringent 3-day period. The project requires integrating existing traffic data for enhanced accuracy. Requirements: Advanced knowledge in SEO and AI-driven data analysis. Ability to utilize innovative software and AI tools for efficient large-scale keyword research and clustering. Competence in integrating existing traffic data into SEO strategies. Strong commitment to deliver a comprehensive SEO plan in Excel format within the 3-day timeframe. Key Deliverables: A detailed SEO plan in an Excel document, with 3 long-tail keywords per page and integrated traffic data. Proposal Guidelines: Your proposal should specifically address: The exact software and AI tools you will use for keyword research, data analysis, and integration. A clea...

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    I'm seeking a professional with expertise in MySQL Cluster Configuration to significantly enhance my server's performance. Your main tasks will include server setup and database migration. I need someone brilliant at performance tuning, one who is familiar with real-world, hands-on database management. Skills and Experience: • Vast experience in MySQL Clustering • Proven track record of server setup • Extensive experience in database migration • Aware of best practices for optimal server configuration Proposal Requirements: • Past work demonstrating skills in MySQL cluster • Clear explanation of your approach to server setup and database migration P/s: I'm currently running an advertising network website, where we distribute user adver...

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    I'm seeking a Python adept with a keen understanding of stock market strategies. The ideal candidate will have the ability to code solutions that sync with ...understanding of stock market strategies. The ideal candidate will have the ability to code solutions that sync with Chartink screener or align with details documented in a Word file. The project requires: - Implementation of Machine Learning models, specifically clustering algorithms, to facilitate efficient market predictions. - Backtesting of these strategies to ensure accuracy and effective optimization. Key responsibilities will largely revolve around using real-time data to formulate and test these models. A strong background in Data Science and previous experience in stock market strategy developmen...

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    I'm in immediate need of a talented individual who is well-versed in Python data science. The freelancer will collaborate closely with me to tackle several key tasks and elevate our project's analytical capabilities. Key Responsibilities: - Data Preparation: Clean, organize, and structure large datasets for analysis. - Supervised Learning: Implement and optimize models like regression analysis and decision trees. - Unsupervised Learning: Explore clustering analysis to unearth data patterns without labeled outcomes. Ideal Candidate: - Proficient in Python with libraries like pandas, NumPy, scikit-learn. - Strong understanding of statistical concepts: mean, mode, standard deviation. - Experienced in machine learning, both supervised and unsupervised te...

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    I'm looking for a meticulous data analyst to provide comprehensive insights into my eCommerce orders over the course of a month. My primary focus is understanding customer behavior and product performance. Attached is a sample of the data format that will be provided. Key requirements for the project: - Analyze 69 Excel data ( Two months orders) to extract meaningful patterns related to customer behavior, order details such as AOV, cash on delivery versus prepaid, main delivery areas, and category clustering. Any Other insights that the freelancer could provide. I need the analysis within one day from the award.

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    ...handling the backend development of the Texas Hold'em game. - Ensuring Multiplayer Support: It's vital for this project that the game supports multiple players. Your role will involve ensuring that the backend can handle simultaneous requests and interactions from different players. Ideal candidates should have: - Websocket Cluster with Golang. You need to be proficient in implementing websocket clustering through etcd or redis or open source solutions. Please do not bid without this skill - Mysql & Redis development experience - Extensive knowledge and prior experience with Golang. - Strong experience in back-end development, especially for online games. - Proven experience in implementing multiplayer support for online games. - Ability to troubleshoot and re...

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    I'm in the search for an e...Google Sheets, specifically to implement keyword clustering. Your role will require the utilization of the following API with Google spreadsheets: Key Responsibilities - Devising and implementing custom scripts to cluster each keyword, based on categories provided by the API. - Focusing on clustering category-based data. Ideal Skills - Proven experience working with APIs and Google Sheets. - Excellent problem-solving abilities I envision a tactical approach to make my keyword analysis more precise, whilst also enhancing the efficiency of my data processing. Your expertise in API usage and data categorization will play a key role in achieving this goal. Together, we'll bring clarity and structure to my data...

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    I am looking for a data scientist with expertise in machine learning, specifically in the area of clustering. The project will involve working with structured data to develop a model that can accurately cluster the data points. Skills and Experience: - Strong background in machine learning and data science - Experience using OpenAI and Hugging face models, LLMs - Proven experience in working with structured data - Knowledge of clustering algorithms and techniques - Proficiency in Python The desired outcome of the project is to develop a model that can effectively cluster the structured data and provide meaningful insights. The successful freelancer will be able to demonstrate their ability to understand and analyze the data, ...

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    I'm in need of a comprehensive, long-form (2000+ words) review paper on a specific technology topic. The paper should include: - A detailed summary of the selected topic - An in-depth analysis - Current understanding and future direction of the topic. Writers who have expertise in technology and are experienced in writing review articles would be ideal for this project. Your critical thinking and analysis skills are key. Accuracy, clarity and a premium on well-researched content will also be crucial.

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    I am looking for a skilled and experienced Flutter with machine learning expert to develop the backend for my project. Requirements: - Must have experience in Flutter and machine learning - Must be proficient in Python for backend development ,lightweight versi...expertise in training machine learning models using provided datasets - Should be able to predict specific features using the machine learning model Skills and Experience: - Proficiency in Flutter and machine learning - Strong knowledge of Python for backend development - Experience in training machine learning models using provided datasets - Familiarity with classification, regression, and clustering techniques If you meet the above requirements and have the necessary skills and experience, please apply for thi...

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    ...creating user guides and internal documentation. KEY Tasks: • Apply machine learning to different types of data. • Predictive analysis. • Natural Language Processing. • Image Recognition. YOUR SKILLS AND EXPERIENCE: ✓ Machine Learning ✓ Predictive Analysis ✓ Natural Language Processing ✓ Image Recognition Please note, defensive skills and the ability to adapt to changing project requirements would be highly desirable. I am uncertain about the specific goal, type of data, or desired outcome so a well-rounded skill set is essential. This involves working with both textual data, numerical data, and image data. In addition, the project may require classification, regression, or clustering as outcomes. It is a diverse role that ...

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    I am looking for a skilled professional to help me with the Windows Server architecture for my project. The primary purpose of this architecture is to ensure H...I have specific requirements for the Windows Server architecture that need to be met. - The estimated size of the infrastructure that will be supported by this server architecture is medium, with 50-200 users. Ideal Skills and Experience: - Experience in designing and implementing Windows Server architectures with a focus on High Availability. - Strong knowledge of server virtualization, clustering, and load balancing techniques. - Familiarity with security measures and best practices for server architecture. - Ability to work within specific requirements and constraints. - Excellent problem-solving and troubleshooti...

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    I’m looking for a GIS specialist to assist with a unique project involving the clustering of specific regions into equal segments. The division will be based on geographic location and needs to be precise to the city level. Key responsibilities include: - Using the QGIS software to segment specific regions into equal pieces. - Implementing geographic clustering techniques. - Ensuring high accuracy and precision down to the city level. For this project, I will provide all necessary GIS data, so your job will revolve around analysis and clustering. Ideal candidate would have: - Proven experience with QGIS Software. - Strong knowledge and understanding of geographic clustering. - Proficiency in handling GIS data. - Strong attention to det...

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    I am looking for an R expert to help me with a project involving spectral clustering and visualization. Size of the dataset: Small (1000 observations) Specific variables or aspects to focus on: Yes, I have specific variables or aspects that I want to focus on during the clustering analysis. Project completion timeframe: ASAP Skills and experience required: - Strong proficiency in R programming language - Experience with spectral clustering algorithms and techniques - Expertise in data visualization using R packages such as ggplot2 - Ability to understand and analyze specific variables or aspects provided by the client - Efficient and quick turnaround time to meet the ASAP deadline

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    I need a seasoned professional to transform my original artificial intelligence research into an accredited research paper ready for Springer's precise requirements. Your prior experience, including proven capability with ISI journal writing style, will boost your application. I am especially interested in those who have a a...my original artificial intelligence research into an accredited research paper ready for Springer's precise requirements. Your prior experience, including proven capability with ISI journal writing style, will boost your application. I am especially interested in those who have a academic background in AI or have drafted research papers on AI subjects before. All the raw data is ready; I need someone who can turn that data into a compelling an...

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    I am seeking a skilled and experienced individual proficient in Topological Data Analysis (TDA) to assist with the analysis of data related to three groups: Healthy, Post Treatment, and Prior Treatment. The data is provided in the form of Binary adjacency matrices, with each group consisting of 30 subjects. **Tasks:** 1. **Functional Connectivity Difference:** - Analyze and identify differences in functional connectivity between the three groups. 2. **Structural Connectivity Difference:** - Assess and determine variations in structural connectivity among the Healthy, Post Treatment, and Prior Treatment groups. 3. **Properties Analysis:** - Investigate the following topological properties for each group: - Global-Small World - Global-Efficiency ...

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    I am looking for ...for an expert in machine learning with a focus on clustering. The main objective of the project is to develop a clustering algorithm that can effectively group data points based on their similarities. Skills and Experience Needed: - Strong knowledge and experience in machine learning algorithms, specifically in the field of clustering - Proficiency in programming languages such as Python or R - Experience in working with large datasets and developing scalable machine learning models - Familiarity with relevant libraries and tools, such as scikit-learn or TensorFlow - Ability to analyze and interpret the results of clustering algorithms and provide actionable insights - Strong problem-solving skills and the ability to think critically ...

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    ...hyperpectral images and • exploring the data with mean spectra, mean images, false RGB images, PCA • masking the images • choosing and applying a relevant pretreatment (can be snv, smoothing, savitsky) • clustering with k means and interpret • classify the data between calibration and test set and analyze • discuss wavelengths or wavelength impact in classification needed are the code and some of the written analysis Ideal Skills and Experience: - Advanced proficiency in Matlab for image analysis - Strong understanding of mean spectra/images exploration, false RGB, PCA, masking data, pretreatments (SNV, Savitsky), clustering (k-means), classification, and wavelength analysis - Experience in working with large datasets ...

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    I am looking for a data scientist to develop a project. About the following knoledge Data Analysis and Visualization. Statistical Methods and Hypothesis Testing. Machine Learning and Modeling. API Data Handling and Natural Language Processing. Time Series Analysis. Advanced Topics (e.g., Clustering, Decision Trees).

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