Predictive parser compiler designpekerjaan

I'm in need of someone with solid expertise in predictive modeling using machine learning and artificial intelligence. Key Project Details: - The project's primary aim is to create a predictive model. - The model will work with data, though the specifics are not provided. - The expected accuracy level for the model has not been specified. The ideal candidate should: - Possess considerable experience in creating predictive models. - Have a strong background in machine learning and artificial intelligence. - Be able to adjust model creation strategy based on type of data to be used. - Have a history of delivering effective predictive models. Please provide examples of your previous work in the field and any relevant qualifications that showcase you...

My project needs a Flutter/Flutterflow developer who can produce a flutterflow control/widget or system capable of recording all microphone audio to file and transcribe the audio to text on the fly. The transcription will be used from voice command processing and must be local to the mobile device (android and ios). Your work will contribute to an innovative application. Here are more details: - Output Format: The recorded audio input shall be saved to a local file (on a mobile device) with an option to use AAC format or MP3. - Multi-functional Processing: Once commands are parsed from the audio stream, they should initiate specified actions and produce textual output. - Command Complexity: The system you construct must be able to handle short phrase commands. Ideal Skills: Experien...

I am looking for an experienced programmer to design and test a program for analyzing the binary options market, utilizing the Pocket Option API. The program should be developed in JavaScript and HTML and run locally on a laptop without the need for cloud services. Project Requirements: Integration with the Pocket Option API. Automated opening of "up" or "down" positions based on predetermined predictive algorithms. 97% positive outcomes from positions executed by the system. Scope of Work: Designing and programming the software. Comprehensive testing of functionality before final delivery. Optimization for performance and stability.

I'm in need of a skilled developer who can create and train a neural network for predictive analysis. The purpose of the network will be to process structured data (most likely in CSV or Excel format) for academic and research purposes. Key Requirements: - Expertise in neural network development and training - Strong background in predictive analysis - Proficiency in handling structured data - Familiarity with academic and research standards It would be great if you have experience with similar projects and can provide insights or suggestions to enhance the network's efficiency. I'm looking for someone proactive who can not only build a reliable model but also ensure it fits the required academic standards.

Hi everyone, I have assignment to do. Just write simple code to analyse the dataset and tell me which code represent which of the following:- 1) Data Understanding and Pre-processing 2) Data Wrangling Operations 3) Descriptive Analytics 4) Diagnostic Analytics 5) Predictive Analytics 6) Recommendations The link of the dataset is

...Development: HTML, CSS, JavaScript, ReactJs Responsive design, Cross-browser compatibility Web performance optimization Backend Development: , Flask, RESTful API Microservices, Websockets, OAuth Nginx server management, Kubernetes, Kafka CI/CD integration Databases: RDBMS (MySQL, PostgreSQL) NoSQL (MongoDB) Query optimization, ORM/ODM (SQLAlchemy, Mongoose) Data warehousing, Distributed systems Machine Learning: Deployment Pipelines, Production management Data and Model Pipelines Neural Networks, Deep Learning, Algorithms Applied ML, Network Models Cybersecurity: IDS, SIEM tools, Network Security Linux, Cloud Computing, Cryptography Risk and Incident Management Database security Data Analytics: Tableau, Data Visualization Predictive Modeling, Kaggle EDA, Regression A...

I'm seeking to be a full-time data analyst in the tech industry. Key Responsibilities: - Analyzing complex data sets, interpreting trends, and providing insights for decision-making. - Developing and maintaining ...accuracy. Ideal Candidate: - Strong background in data analysis, with experience in a tech-related field preferred. - Proficiency in data visualization tools like Tableau, Power BI, or similar. - Ability to communicate complex data findings to non-technical stakeholders. - Solid understanding of database management and data warehousing. - Familiarity with statistical tools and techniques for predictive modeling. If you've got the right experience and skills, I'd love to hear from you. A passion for technology and a knack for turning data into actionable...

I'm currently using a manual dialing system and looking to transition to ViciDial to handle my call volume...using a manual dialing system and looking to transition to ViciDial to handle my call volume of 50-500 calls per day. I'm specifically interested in the predictive dialing feature. Ideal skills and experience for this job would include: - Expertise in ViciDial setup and configuration - Solid understanding of call center operations - Experience in optimizing dialing systems for medium call volumes - Mastery in setting up predictive dialing systems Success on this project would mean a smooth transition from my current manual dialing system to an optimized ViciDial system that can effectively manage my daily call volumes, incorporating predictive di...

...financial forecasting model using an existing spreadsheet. Key Requirements: - Financial Forecasting: The primary goal of this model is to enable accurate and insightful financial forecasting. - Advanced Level of Complexity: I'm aiming for a model that goes beyond basic calculations and projections. I want it to incorporate AI and machine learning techniques, allowing for predictions that are more predictive and dynamic. - Integration with Spreadsheets: The model should be able to successfully integrate with and manipulate data from existing spreadsheets. Ideal Skills and Experience: - Data Science: A strong foundation in data science is essential for this project. - AI and Machine Learning: Experience in developing AI and machine learning models, particularly for financia...

PREDICTIVEHR is currently hiring for Human Resources Manager/HR Recruiter. PREDICTIVEHR, Inc. is focused on solving the issues that business owners and leaders face each and every day and which can ultimately compromise productivity and customer service. PREDICTIVE HR is in the process of hiring over 1,000 virtual agents working the job is all about taking invoices, data recording, email handling, memo typing, schedules, online research and little data entry from a remote 'll be interviewed and oriented on what to do by the way before resuming ideal candidate will have prior experience in recruitment or human resources, with knowledge of screening,interviewing, and hiring practices. Human Resources Manager/HR Recruiter Job Postings and Sourcing.

I'm in need of a skilled developer or team, capable of creating a multifunctional AI system for a new solar energy business venture. This AI system should offer the following functionalities: - Predictive analytics: The software must be able to predict patterns based on collected data. - Energy consumption analysis: Extract valuable insights from detailed energy usage. - Demand forecasting: Efficiently project future requirements for energy supply, optimizing resource allocation. The system should be compatible with a range of technology platforms including: - Desktop computers: For business-grade, in-office usage. - Mobile devices: To provide on-the-go access and monitoring. - Web browsers: To ensure cloud-based, anywhere access. Finally, the AI system needs to...

I'm looking for a seasoned Python deve...data analysis (Stock Data) it takes its data from an excel sheet that I have. Specific requirements include: - Proficient in Python with a strong background in data analysis libraries. - Extensive experience working with financial data. - Ability to generate predictive models as an output from data analysis. - Strong grasp of forecasting and projection methods, with a knack for generating accurate and data-driven predictive models. Ideal candidates should have a robust portfolio in working with financial data and delivering predictive models. Your expertise lies in your ability to utilize Python to its maximum potential, utilizing its libraries for data analysis and model prediction. Prior experience in the field of fina...

...You will now add a syntax analyser (parser) to it. The syntax analyser will handle expressions described by the EBNF given as an example in the section 4.4.1 of the textbook. The parser will be based on recursive-descent parsing algorithm and the outline C code for the parser is already given in the textbook. You will improve it by adding error handling capability. First get the code for the recursive-descent parser described in the textbook working. Try it out on simple examples, e.g. (sum + 47) / total. This example should produce the trace given in section 4.4.1 (page 184-185 of 10th edition). To handle the error-handling you will have to implement the error() function. This function should report errors and also indicate what is expected by the parse...

...to develop a sports betting strategy and need a skilled Data Scientist/Sports Analyst to help me achieve the following goals: - Maximizing win rate - Minimizing risk - Identifying profitable betting opportunities - Consistency / sustainability - Adaptability/ scalability Key Requirements: - Experience with sports data analysis, particularly in soccer, basketball, tennis or Rugby. - Develop predictive models for winning using sports analytics - Proficiency in data science techniques and tools. - Familiarity with various data sources used in sports betting analysis, including historical game statistics, betting odds, and player performance data. - Accuracy and Reliability - Speedy and Realtime Updates Your expertise in developing robust strategies, coupled with a deep understa...

conversion modeling / predictive analytics. The whole department is transitioning to DataBricks. I need help with creating conversion models using pyspark. Compare the results to last year and what could have been a better approach.

Hi everyone, I have assignment to do. Just write simple code to analyse the dataset and tell me which code represent which of the following:- 1) Data Understanding and Pre-processing 2) Data Wrangling Operations 3) Descriptive Analytics 4) Diagnostic Analytics 5) Predictive Analytics 6) Recommendations The link of the dataset is

Seeking a developer with experience in C# and SQL for a predictive artificial intelligence project. Your role will involve developing a model to predict user behavior on a vending machine, utilizing data stored in SQL Server. Proficiency in artificial intelligence is required. Please don't send a bid to later try to increase it. Will be declined.

...manage the limited supply of electricity during periods of high demand or supply constraints. The Load shedding Scheduler System aims to provide utilities, grid operators, and other stakeholders with a powerful tool to schedule and manage load shedding in a way that minimizes disruption to consumers while maintaining grid stability. The system offers advanced features such as real-time monitoring, predictive analytics, and automated scheduling to optimize the allocation of available during periods of scarcity Problem Definition: The issue of electricity shortages has always been an issue in Zimbabwe, there has always been a gross imbalance between the electricity available and the demand for it. Due to the depressed local power generation coupled by increased electricity demand ...

...manage the limited supply of electricity during periods of high demand or supply constraints. The Load shedding Scheduler System aims to provide utilities, grid operators, and other stakeholders with a powerful tool to schedule and manage load shedding in a way that minimizes disruption to consumers while maintaining grid stability. The system offers advanced features such as real-time monitoring, predictive analytics, and automated scheduling to optimize the allocation of available during periods of scarcity Problem Definition: The issue of electricity shortages has always been an issue in Zimbabwe, there has always been a gross imbalance between the electricity available and the demand for it. Due to the depressed local power generation coupled by increased electricity demand ...

I'm seeking a proficient data analyst experienced in both R and Stata for a large-scale data cleanup and analysis. Key tasks include: - Cleaning and preprocessing a dataset of over 10,000 records - Comprehensive descriptive statistics overview for initial insight - Detailed hypothesis testing to validate or negate proposed theories - Regression analysis for predictive modeling Skills and Experience: - Expertise in R and Stata programming languages - Strong background in biostatistics - Proven track record of handling large data sets - Attention to detail for accurate data cleaning - Experience in hypothesis testing and regression analysis. -Report writing and data interpretation The quality of analysis is essential, attention to detail and accuracy will be keenly observed...

...blockchain technology is being adopted within the marketing sector. Key Research Areas: - The document should predominantly focus on digital marketing strategies, exploring the latest trends and advancements in this domain. Expectations: - This report should provide a high-level overview of the current blockchain adoption trends in the marketing industry. It should not delve into case studies or predictive analysis, but rather provide a broad perspective on what's happening in the field. Structure: - I would like the document to be structured by adoption case. This means that the report should be structured around real-world applications and use-cases of blockchain in digital marketing, rather than by marketing channels or industry sectors. Skills and Experience: - St...

...responsibilities. Contract duration: 3 months to 15 months Position open: 2 Data scientists Key Responsibilities: - Perform data analysis and visualisation on trading or stock market data - Use your data science skills to provide valuable insights - Ensure the accuracy and efficiency of your predictive modeling Ideal Skills and Experience: - Proven experience in trading or stock market data analysis - Proficiency in Python, R, and SQL - Strong analytical and problem-solving skills - Prior experience with predictive modeling and algorithm development - Ability to handle a variety of data sizes and formats, as the size of the data may vary If you have previous experience in the trading industry and can confidently handle data analysis and visualisation, this opportunity...

...large data set analysis. As this project is focused on predictive modeling, specifically regression models, your skills and experience should highlight your familiarity and expertise with the following tasks: - Statistical Analysis: Your main task would be centered around executing statistical analysis and modeling using R programming. The project primarily requires predictive modeling, like regression and machine learning techniques. - Regression Models: Given the nature of this project, it's critical that you have a keen understanding of regression models. Your role would entail using these models with R programming to analyze the large data set provided. Your ability to handle large data sets, extract meaningful insights, create predictive models, and eff...

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If you have a experience in lexer and parser for jetbrains custom language plugin development, please bid for this posting. Thank you.

I need a skilled data analyst proficient in R to perform an in-depth statistical analysis on a large dataset of more than 10,000 records. The main objective is to conduct thorough statistical analysis rather than predictive modeling or data visualization. Key Requirements: - Proven experience and expertise in R programming. - Ability to apply a wide range of statistical techniques including: - Descriptive - Logistics - Bivariate - Univariate - Multivariate - Multidimensional Ideal Candidate: - Proficient in handling large datasets. - Experienced with statistical analysis on a similar scale. - Strong understanding of various statistical techniques. - Ability to present the results in a clear and comprehensible manner.

I am looking for a expert statistician experienced in JASP software and predictive modeling. My project requires: - Comprehensive data analysis - Development of statistical models Your key tasks will be data interpretation, model creation, and generation of reports based on your findings. Ideal freelancers would have extensive experience in JASP, a clear understanding of statistical modeling and data analysis, and prior exposure to projects involving predictive modeling. My primary goal is to effectively utilize predictive modeling to drive strategic decisions. Your expertise will contribute substantially toward this goal.

1-context meu: I need the context menu with sub menu items to stay open to allow the user to click multiple menu items. when the menu is open, the user can click an itm and it closes. if the user hold ctrl + click it will append the menu name to a textbob comma separated. to then make the context menu go away the user can click outside the menu. it can be winforms built in context menu or dev express mnu. 2-dev express grid highight: I need a button with coclor picker (dev express color wheel), the the user can click to chosse the coclor and then when user clicks cells(s) in a dev express grid it will set the back color to the selected color. i also need a button to clear/reset all colors, and button to set the color to default (so user can unset each cell by clicking again). 3-stri...

I'm seeking a skilled professional to perform predictive analytics on a small dataset (less than 1GB) using Spark on the AWS EMR Cloud Platform. Specifically, I need assistance in setting up an EMR cluster and doing a Spark job on it. Your expertise should include: - Experienced knowledge in AWS services, including EC2, S3, and especially EMR. - Proficiency in handling Spark Jobs and understanding its complexities. - Prior experience in predictive analytics. Please underscore your relevant jobs and mention how you managed similar challenges on this project.

I'm in the market for a skilled software engineer with experience in Python, who can also handle machine learning tasks. Your primary focus will be on predictive analytics. Key Responsibilities: - Proficiency in Python is a must. - Strong understanding and experience in the machine learning field. - Ability to design and implement predictive models. Ideal Skills: - Proven experience in Python development. - Understanding of machine learning concepts and techniques. - Experience in creating predictive models. Please provide your portfolio or relevant experience in the field when submitting your bid.

...should primarily provide a data prediction feature similar to 'Probo app' or 'MPL Opinio'. The functionality of the data prediction feature needs to be a combination of predictive text input, machine learning algorithms, and real-time data analysis. Key Requirements: - Develop a cross-platform app for iOS and Android - Implement a data prediction feature - Ensure the data prediction is based on predictive text input, machine learning algorithms, and real-time data analysis Desirable Skills: - Proficiency in both iOS and Android app development - Strong background in data prediction and analysis - Previous experience with predictive text input and machine learning algorithms. This project requires someone who can bring creativity and innovation...

As your client, I'm looking for a specialist having a proficient knowledge of Microsoft Excel to achieve a simple data manipulation project. The task involves predictive analysis of data, heavily leveraging date and time functions. Key Responsibilities: - Manipulating data using simple Excel functions. - Predictive analysis using Excel based on the manipulated data. Ideal Candidate: - Sufficient proficiency in Microsoft Excel, with specialised expertise in date and time functions. - Strong attention to detail and accuracy in data entry and analysis. - Superior skills in organising and ability to handle increasing complexity when required.

I'm currently working on a project that involves compiler construction in Java. I'm looking for a professional who can deliver effective semantical analysis ensuring that my project successfully passes private tests. The ideal candidate should have a background in compiler construction, particularly with hands-on experience in Java. Key requirements include: - In-depth understanding of compiler construction principles - Proven experience in semantic analysis - Proficient in Java programming - Ability to deliver error messages for incorrect syntax - Familiarity with integrating semantical analysis into existing Java projects This project has already integrated the semantical analysis, and you will be required to enhance it to effectively identi...

I am seeking a competent freelancer with exceptional...Deliverables: - Leverage your expertise in Python to develop a high-performance pixel prediction algorithm. - Utilize image data efficiently for the prediction process. - Present the outcome of the prediction in the form of insightful visual graphs. Desirable Experience: - Extensive knowledge in Python programming - Familiarity with image data processing and analysis - Previous experience in AI and predictive modelling - Proven track record in creating visually appealing and easily understood graphical data presentations. Your ability to be detail-oriented, deliver on schedule and maintain an open line of communication will be key to the success of this project. Let's make this successful project a springboard for future ...

...scientist to help with churn prediction. The ideal candidate will possess the following skills and experience: - Strong background in data science and predictive analytics - Prior experience working with customer usage and service interaction data - Familiarity with churn prediction models and techniques - Ability to identify factors contributing to customer churn - Capability to predict the likelihood of churn for individual customers - Proficiency in suggesting targeted interventions to reduce churn This project involves: - Analyzing customer usage data and service interaction data to identify factors that contribute to churn - Developing a predictive model to forecast the likelihood of churn for individual customers - Proposing specific interventions or strategies to ...

its an urgent task looking for a freelancer who is good at predictive analytics and RAPID MINER. must have good report writing skills PRICE 40 USD

...with cleaning and preprocessing the data to create a reliable foundation for analysis. - Should then interpret and present that same data through meaningful visuals to explore its intricate properties and characteristics. - Should additionally facilitate statistical analysis to derive patterns and trends otherwise invisible to the naked eye. The hoped-for end-product of this project is not just predictive analytics but insight and data-driven recommendations that will inform future decision-making. Proficient use of Python or R for these tasks is essential, as is familiarity with data cleaning and visualization libraries and tools. To thrive in this role, you must be a highly analytical thinker with the ability to separate noise from signal in dataset and excel at drawing clarit...

I'm looking for a proficient Python developer who specialises in Machine Learning. The chosen individual will be responsible for the selection and training of models, as well as predictive analysis. The ideal candidate possesses: - Mastery in Python programming. - Extensive understanding of Decision Trees for analysis. - Ability to effectively perform model selection and training. - Proven experience with predictive analysis. Please reference prior similar projects in your application. Serious, dedicated professionals only.

We are currently facing an urgent requirement for the implementation of Oracle SCM/demand planning modules. We are in search of SCP experts or IT consultancy partner companies with proven experience in SCM/demand planning module implementation in Oracle EBS R12. The scope of work will cover the following aspects within Oracle SCM EB R12: Predictive Analysis based on MRP Demand forecasting for peak and off seasons Demand Sensing Multi-Dimensional Analysis: Analyze demand by product, customer, region, channel, and other relevant dimensions for deeper insights and better decision-making Supply chain integration Forecast accuracy tracking Reporting and Analytics

I am looking for a Racket developer with expertise in scripting and LL1 grammar. The main goal of this project is to develop a simple grammar for parsing and code generation. Key Requ...should be well-versed in Racket programming language. - Grammar: Experience in developing grammars, especially LL1, is essential. - Code Generation: The ability to generate code based on the parsed grammar. - Complexity: The language to be developed will be simple in nature, with less than 10 rules. This project will involve: - Crafting an LL1 grammar for the simple language. - Implementing the parser for the grammar. - Developing a code generator based on the parsed language. If you have experience in Racket, grammar, and code generation, and are interested in this project, I would love to discus...

I need a data analyst or researcher to provide data on how muc...The main points should be supported with a PDF Data Segmentation: The data should be segmented by consumer type, specifically domestic consumers. Ideal Skills and Experience: - Strong background in data analysis and research - Proficiency in handling and analyzing large sets of historical data - Advanced knowledge of Excel for creating detailed spreadsheets - Experience in providing data for predictive analysis and forecasting - Prior work with energy sector data is highly preferred - Ability to segment data based on consumer types, especially commercial consumers Please include samples of previous similar projects in your proposal. This data needs to be using credible sources such as office of national statistics o...

I'm in need of a freelanc...system will be for sales and marketing purposes. Key responsibilities will include, but are not limited to: - Setting up a Virtual PBX system - Configuring Vitiger CRM - Integrating the Virtual PBX system with Vitiger CRM for seamless operation - Enabling predictive dialing for 4 separate campaigns - Ensuring a smooth and efficient workflow between the PBX and CRM for sales and marketing purposes. Ideal skills for this job include: - Proficiency in Virtual PBX systems - Extensive experience with Vitiger CRM - Previous work with predictive dialing configurations - Strong understanding of sales and marketing processes - Excellent problem-solving skills to troubleshoot any potential issues. Please provide examples of similar projects you...

I am seeking a proficient data analyst specialized in the use of machine learning applications for predictive analysis. Key Responsibilities: 
 - Perform predictive analyses using machine learning techniques to unlock valuable insights. - Provide interpretive insights and propose strategic solution to enhance future performance based on predictive analysis. - Collaborate and communicate effectively on data trends and predictions. Ideal Candidate: - Deep understanding of machine learning applications and their use in predictive analysis. - Strong interpersonal skills for effective collaboration and communication. - Proven capability to transform raw data into actionable strategies. Please substantiate your proposal with a detailed description of how you...

Hi Romeo, I am writing regarding the second project about the same topic, as we discussed previously. For Due date by end of the day tomorrow should be good. You can use any grammar idea from that "possible programs "pdf file except of the one which you used for previous project ( prefix language into an infix )

I'm looking for a Salesforce Einstein expert to provide training sessions on Predictive Analytics and Next Best Action features. The ideal candidate will have an intermediate level of expertise in Salesforce Einstein. Key Requirements: - Deliver training sessions focused on Predictive Analytics and Next Best Action features - Intermediate expertise in Salesforce Einstein - Conduct training sessions via Zoom Your responsibilities will include explaining key concepts, providing hands-on exercises, and answering any questions that may arise. Experience in delivering online training sessions is a plus. Please ensure to include your relevant experience, and certifications in your proposal.

...approach to implementing advanced tracking setups, such as UTM parameters, integration of Google Analytics 4, and call tracking technologies like Call Rail. Real-Time Data Usage: Describe how you will use real-time data to make immediate campaign adjustments. Include your strategies for using data visualization and dashboards for campaign management. AI-Driven Optimization and Personalization: Predictive Analytics: Detail how you will use AI and machine learning to predict and enhance campaign performance, including examples of tools and their expected impact. Personalization Techniques: Describe your approach to using machine learning algorithms for dynamic ad personalization, focusing on customer acquisition and retargeting strategies. Segment-Specific Remarketing: Advanced...

...approach to implementing advanced tracking setups, such as UTM parameters, integration of Google Analytics 4, and call tracking technologies like Call Rail. Real-Time Data Usage: Describe how you will use real-time data to make immediate campaign adjustments. Include your strategies for using data visualization and dashboards for campaign management. AI-Driven Optimization and Personalization: Predictive Analytics: Detail how you will use AI and machine learning to predict and enhance campaign performance, including examples of tools and their expected impact. Personalization Techniques: Describe your approach to using machine learning algorithms for dynamic ad personalization, focusing on customer acquisition and retargeting strategies. Segment-Specific Remarketing: Advanced...

I'm looking for a Stata expert to help me with my predictive analysis project. Key Requirements: - The primary task will be to make group base trajectories - You will also need to group/categorize the data effectively. Please make sure you are familiar with Stata and have experience with similar projects.

I'm looking for an experienced AI and app specialist who will be vested with the task of developing AI algorithms specific to predictive analysis, with a focus on trend forecasting. Ideal freelancer should possess: - Proven experience in AI algorithm development - Specific experience in predictive analysis algorithms - Solid background in app development - An understanding of trend forecasting in various domains Your responsibility will include creating an AI-powered app from scratch that can effectively conduct trend forecasting. Testing and troubleshooting will be part of the development process to ensure functionality and user-friendliness. Strong problem-solving skills and attention to detail are essential for this project. The end goal is to create an app that e...

A program in Racket/Scheme that implements a parser in its code, controlled by an LL1 grammar of at least 5 rules and performing, for example, validation/translation of some text input. The output of the program will be e.g. input value recognition, translated text or error detection. See an "example 1" . You can use functions fot this example, but the grammar must be you own. Using of recursive descent parser is recomended - see "example 2". General rules: Note that calling a ready-made function from the library is not sufficient to accomplish this task. Your own code must contain a visible algorithm. Your program must work according to the documentation. All documentation must be written in the source code . The program must include: (in source cod...