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I'm seeking a skilled data analyst who can help me with analyzing longitudinal data from online survey responses. Key Responsibilities: - Conducting latent growth modeling on the longitudinal data - Providing insights on the developmental patterns observed - Assisting in the interpretation of the results Ideal Skills and Experience: - Proficiency in handling and analyzing large datasets - Prior experience in the application of latent growth modeling - Strong background in longitudinal data analysis - Ability to effectively communicate complex statistical concepts - Familiarity with online survey data collection methods is a plus If you have the expertise and enthusiasm to dive into this project, I look forward to receiving your proposal.

I'm seeking a Qt developer to finalize an existing Todo Tasks app. Core responsibilities include: - Conducting comprehensive functionality testing to ensure all elements are working seamlessly. - Prioritizing the task tracking functionality for optimization, improving user experience and efficacy. - Identifying and resolving any latent bugs to ensure the stable performance of the application. Ideal candidate will possess significant Qt development experience, particularly in undertaking functionality testing and optimization processes. Familiarity with task tracking applications will be advantageous.

I'm looking for a skilled React developer to update my existing application. This project entails: - Fixing existing bugs: You need to be adept at problem-solving. An eye for detail is essential to spot and resolve latent issues within the app. - Repository updates: The application repositories are two years old and I want to bring them up-to-date to accommodate latest developments and improvements in React. Ideal candidates should have hands-on experience with React and modern repository management techniques. Demonstrated history of successful debugging is preferred. DO NOT APPLY IF YOU HAVE NO IDEA , CHECK MY PROFILE

I am seeking a qualified individual who can efficiently set up a backup system for my GoDaddy site to the Amazon EC2 server. Primary tasks include: - Identifying the version of GoDaddy currently in use - Establishing a secure and reliable backup pathway to AWS EC2 - Latent issue troubleshooting - configure nameservers, emails, and domain to point to aws - setup ftp and phpmyadmin logins to use - ssl servers The ideal applicant should possess: - A significant degree of experience with GoDaddy and AWS platforms. - Proven problem-solving skills and the ability to work independently. - Evidence of similar past projects is valued but not compulsory. Please include aforementioned skills and experiences in your application.

I'm looking to develop a tool that can automatically extract topics from text found on various social media platforms. While I haven't yet specifi...Media Compatibility: While not specified, I am interested in capabilities across various social media platforms, so experience in text extraction from such platforms is highly valued. Ideal candidates for this project would be those with experience in natural language processing, machine learning, and familiarity with social media APIs. Knowledge in implementing topic modeling techniques such as Latent Dirichlet Allocation (LDA) and neural network algorithms would also be highly beneficial. Additionally, candidates who can recommend the most suitable social media platforms for topic extraction will be even more valued for the...

Goal: To develop better statistical methods for modeling individual differences and assigning 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 ...

I'm in need of an experienced AI/ ML specialist to contribute to a critical segment of our project that involves the development of a Latent Dirichlet Allocation (LLM) Model. The job in a nutshell: - Focusing exclusively on model creation, specifically LLM - Utilizing a semi-supervised learning approach in creating the model Ideal candidates should have a substantial background in AI/ML with a deep understanding of LLM and how to apply semi-supervised learning. Experience with data analysis and algorithm optimization would be advantageous, although our primary focus is on those proficient in semi-supervised learning models.

I'm currently seeking a skilled statistician who's an expert in performing latent class analysis (LCA). The primary objective of this project is to identify underlying subgroups within the given survey data set through LCA. I need help with analyses in the context of a phD in sexology. Analyses will be conducted on non-normal variables. I am also seeking someone who would know how to conduct latent analyses on Mplus with both continuous and categorical indicators. I need someone willing to help me explore multiple different models. The ideal candidate should be proficient in: - Conducting in-depth LCA within Mplus, which is the preferred software for this project. - Effectively analyzing survey data to reveal nuances, trends and patterns. - Creating comprehensi...

Yeah Latent Dirichlet Allocation (LDA) looks well-structured. However, it seems like its trying to read a CSV file named '', which have not been provided. Just some suggestions for potential improvements and considerations: Language Support: If the dataset contains text in languages other than English, consider adding additional stop words for those languages. NLTK provides stop words for several languages which can be helpful. Text Normalization: In addition to lemmatization, you might also want to consider stemming, which can sometimes provide a more robust normalization, although it's more aggressive than lemmatization. Hyperparameter Tuning: The parameters in the LDA model, such as the number of topics (num_topics) and the number of passes (passes), can signif...

Project Title: Latent Class Analysis I am looking for a freelancer who can perform a latent class analysis using the R statistical software. The purpose of this analysis is to identify different groups or classes within a mixed dataset. More specifically - I have a syntax in lgs (Latent Gold) - and I can't fully recode it into R. I still have major gaps from the expected result. I'm trying to reproduce a know result. Skills and Experience Needed: - Proficiency in R and experience with latent class analysis, specifically with Latent Gold - Strong understanding of statistical analysis and data manipulation - Familiarity with mixed data types (categorical and continuous) - Ability to interpret and communicate the results of the analysis effect...

Must be located in UNITED STATES As an Android app developer, I am currently in need of assistance to execute a closed testing for my Android app. This application is not yet ready for public use, and is structured purely for a limited audience. Key tasks: - Deep dive inspection of app's functionality - Identify and address any latent bugs or problems Ideal Candidate: - Has an android -Located in the United States - Knows how to follow directions - Has experience in being a tester

I have a code for the attached paper, the z in the code is I think alph^r (equation 42 in the paper) How can I find: 1. Predict isobaric and Isochoric heat capacity vs. temperature and density 2. Predict entropy vs. temperature. 3. Predict Speed of sound 4. Predict the latent heat of vaporization vs. temperature. And compare it with Peng-Robinson

...entails an in-depth research task, including a thorough comparative study of product features, marketing strategies, and market share of competitors within the technology sector. Key Objectives: Upon completion of the research, the primary goals are to: Gain valuable insights into current market trends within the technology space. Evaluate the strengths and weaknesses of key competitors. Identify latent opportunities for growth in the market. Qualifications: To excel in this role, candidates should possess: Exceptional research and analytical skills. Proficiency in utilizing research tools and conducting technology market analysis. Demonstrated competency in comparative market analysis and trend identification. Ability to generate actionable insights and provide strategic reco...

...targeted towards the Technology industry. This project requires an extensive research which includes a thorough comparative study of product features, marketing strategies and market share of competitors within this industry. Upon completion, I aim to: - Gain insight into the current market trends of the technology space. - Evaluate the strengths and weaknesses of my competitors. - Uncover any latent opportunities for growth in the market. To excel in this job, exceptional research and analytical skills will be required. Proficiency in using research tools and experience in technology market analysis will make you a top contender. Demonstrated competency in comparative market analysis and trend identification is highly beneficial. In addition to these, the ability to generate ...

I am looking for a freelancer who can conduct a Confirmatory Factor Analysis using SPSS Amos. This analysis will be performed on survey data that I will provide. The main purpose of the analysis is to examine the relationships between latent variables and observed variables. Skills and Experience: - Proficiency in SPSS and Amos - Strong understanding of Confirmatory Factor Analysis and Structural Equation Modeling - Experience with analyzing survey data - Ability to interpret and present results in a specific format that I will provide The final report should adhere to the specific format that I have outlined. It should be professional and meet academic standards.

I am looking for a freelancer who can assist me with model selection for a new contribution on topic modeling. Specifically, I am interested in using Latent Dirichlet Allocation (LDA) as the model. The dataset for the model is small, less than 1GB. Ideal skills and experience for this job include: - Strong knowledge and experience in topic modeling techniques - Expertise in model selection, particularly with Latent Dirichlet Allocation (LDA) - Familiarity with text preprocessing techniques - Understanding of evaluation metrics for topic modeling - Proficiency in working with small datasets (less than 1GB) If you have the necessary skills and experience, please submit your proposal and provide examples of your previous work in topic modeling.

For identification of a latent-variable model, I need to impose a sum-to-zero constraint on mu = X * gamma. X is a J * K full column rank design matrix and gamma is a K-length parameter vector to be estimated. To impose this constraint, a K*(K-1) matrix B is required as basis, so that gamma = B * gamma_raw, where gamma_raw is a K-1-length parameter vector, and the constraint then holds by construction. Here is what I tried so far in R: (123) # simulate X num_rows <- 20 num_columns <- 5 data <- (intercept = rep(1, num_rows)) for (i in 1:(num_columns - 1)) { col_name <- paste0("indicator", i) data[, col_name] <- sample(0:1, num_rows, replace = TRUE) } X <- (~ . - 1, data) print(X) rankMatrix(X) # use QR decomposition QR <- qr(t(X)) B <- qr.Q(QR)...

We are seeking an expert in the smart PLS tool to help us with our data analysis project. The ideal candidate will have a deep understanding of the tool and its functionalities. The main responsibilities include implementing the smart PLS tool for our research project, conducting data analysis, and interpreting the results. The candidat...2-partial least squares-structural equation modeling SEM is a combination of two statistical methods: confirmatory factor analysis and path analysis. • Confirmatory Factor Analysis (CFA) is a statistical technique used to verify the factor structure of a set of observed variables. CFA allows the researcher to test the hypothesis that a relationship between observed variables and their underlying latent constructs exists. 3-ANOVA. 4-Regressi...

...point cloud with dimension 3×512 passes through five EdgeConv layers with point-wise latent space dimensions (64, 64, 128, 256) and a max pooling layer (we do not use a batch normalization layer unlike the original DGCNN classification network), then we can obtain a 1024-dimensional feature vector. Other settings are the same (e.g., k = 20, leaky relu activation) Then this feature vector again passes through three fully-connected neural networks with dimension (512, 256, 2) with leaky relu activation function and linear output activation function; the latent space is two-dimensional. For the decoder model, we simply use a fully-connected neural network as the decoder. The two-dimensional vector on the latent space passes through three fully-connected neural ne...

...between different variables, tests the effectiveness of a specific treatment, and ultimately reveals the underlying causal mechanisms. To complete this project, the freelancer must be experienced in mediation models and proficient in using the SAS statistical software. I need to run/analyze a mediation model with three treatments repeatedly measured at four different time points. The IV and DV are latent variables-so each contains four scale items. I also have a few control variables. So, for example: I have an IV (5 items) and DV (4 items). I repeatedly measured both IV and DV under three different treatments or conditions four different times. So, it would look like this: IVCondition1/DVCondition1 time0, IVCondition1/Condition1 time1, IVCondition1/DVCondition1 time2, IV...

An existing 25 ton chilled water system is not controlling latent heat because the distributed water is on average above 45 degrees F. The system has five 5 ton geothermal chillers. In the winter the heat load is typically seven or eight tons. One unit is cycling on and off with a five minute hot start delay. The result is an average water temperature of about 53 degrees. System needs a variable speed chiller or buffer tank.

the regression equations only need two variables. unemployment rate (u) and jobs vacancies rate (v). the authors use pooled data then to generate a common latent factor and use it in regression..

Hi, I'm looking to hire an expert to help me debug a Latent Dirichlet Allocation (LDA) program in Python. I am a beginner with LDA in Python and I need assistance with general troubleshooting. I have attached the python code to run the LDA program and the error message received (screenshots in the word file). Please help me debug.

My website has sat latent for about 6 months and faced some errors when I attempted to work on it. The plugins had to be uninstalled. Rather than make a mistake and take the time to learn, I'd like to hire someone to set up the site. It will be a simple design with dropship synchronization. For someone with moderate WordPress skills should only take a timeline of 1-2 weeks. This contract will be a firm-fixed-price arrangement. I'm open to incorporating new technology and design elements, as well as making the website mobile-friendly. If you have the skills to deliver a modern designed website in the specified timeframe, I'd love to hear from you. All logins and access will be provided once a contract/arrangement is linked. If any customized coding or non-standard i...

I'm looking for an experienced Python programmer to help me with a project that requires a topic modelling visualisation. I've decided that I want to use the Python programming language, and the visualisation will take the form of static graphs, built on the framework of Latent Dirichlet Allocation. The successful candidate will have extensive experience working with Python, as well as familiarity with the topic modelling algorithm, and a strong portfolio demonstrating the corresponding visualisations they have created. The basic content is a list of 6,000 terms that need to be modelled and visualised so that we can get a good idea of where the key themes are. I'm looking forward to working with a talented programmer to complete this project. Thank you.

...recall--Warranty Enhancement Program- to replace the defective dash. We are not asking to be covered under the extended warranty but simply on the basis of an implied warranty of fitness for purpose intended. There was an Illinois case which involved a home builder wherein the court said the home builder was responsible for latent defects without regard to a Statue of Limitation. I cannot locate this case or others which would extend the implied warranty of fitness for purpose for latent defects. We need arguments and cases to counter the motion to dismiss. The class action was a public law suit. What cases and arguments can we present countering their 7th paragraph. The information requested is relevant in that it goes to show the numerous defective dashboards which were ...

Sample work for particle wave effect sample. Particle wave should have a latent effect similar to the reference site (where there is still slight movement when the scroll bar is not moving). Particle wave should animate clearly when user scrolls down.

Looking for a creative, clever, persuasive and ef- fective copywriter to draft copy for a pet supple- ment website. The writer should be adept at SEO and sales so that the copy will convert, and also needs to have enough creativity to come up with new content topic ideas. Writer will also under- stand the basics of latent semantic indexing to further boost the position of the content. Skills: Content Writing, Copywriting, Ghostwriting, SEO

development latent fingerprint on paper. this is a project I want to write it.

I need task need to be done in latent growth model. This will need to deal with missing data and unconditional and conditional models, and I have two different IVs. I need code, a report (writeup, figure/table) and the R code.

the project talk about development latent fingerprint on paper in deferent conditions. the project already done but need to some corrections.

Hello, We are doing a project which we think is the best fit for Latent Class Analysis or Latent Profile Analysis. We know the basic idea behind these tests, but need an expert to guide us further through the process. We need to find out unique groups/classes or clusters based on a survey responses filled by users on various aspects of our services. Needed asap. If you share your past work related to LCA, you will be given preference.

Hello, We are doing a research project which we think is a best fit for Latent Class Analysis or Latent Profile Analysis. We know the basic idea behind these tests but need an expert to guide us further through the process. Needed asap. If you share your past work related to LCA, you will be given preference.

Econometrics tutor required for 2 hours covering subjects including :- Structural equation models Sequence analysis Linear mixed models Bootstrapping Meta-analysis Latent class analysis Social network analysis

Project in R: 2000 word project to include introduction, literature review, methodology, data, results, analysis, discussion, conclusion. using any relevant secondary data source and any using one of the quantitative techniques (Path Analysis, Structural equation models, Sequence analysis, Linear mixed models, Bootstrapping, Meta-analysis techniques, Latent class models or Network and evolutionary dynamics).

I have a project about EM - Algorithm. ( Bayes rule, prior probability, log likelihood , joint probability, EM Maximization, latent variables etc ) Write " Apple " if you read this. Only with experienced freelancers please. Thanks

The dataset containing 5 classes of images. The model will take two images and by mixing (interpolation) their latent space it will generate the image of third class. The code will be in python.

Latent Profile Analysis with Mplus using data from large database. Attached are some similar works.

Required Skills: 1. Experienced with working on Hybrid choice models (hybrid Latent class models with Ordered logit , HCM with OL and Mixed multinomial logit models) and discrete choice modelling in general. 2. Experienced in working with R or Biogeme. 3. Able to work on deadlines (10th June 2022) 4. Willingness to sign Non disclosure agreement. 5. Ability to communicate clearly.

Required Skills: 1. Experienced with working on Hybrid choice models (hybrid Latent class models with Ordered logit , HCM with OL and Mixed multinomial logit models) and discrete choice modelling in general. 2. Experienced in working with R or Biogeme. 3. Able to work on deadlines (10th June 2022) 4. Willingness to sign Non disclosure agreement. 5. Ability to communicate clearly.

Learning Genie Inc is a fast-growing education-tech startup company in Carlsbad, California, featured on ABC 10, San Diego Business Journal, Huffington Post, and other major media. Our mission is to improve the lives of Early Learning teachers and leaders through our ...managing infrastructure with Terraform * Solid foundation of networking and Linux administration * Experience with Docker, GitHub, Jenkins, ELK and deploying applications on AWS * Ability to learn/use a wide variety of open source technologies and tools * Strong bias for action and ownership Bonus * Knowledge of Java and Restful backend * Previous startup experience would be a huge plus * Latent desire and/or curiosity in related domain like software development, front-end engineering, security or project m...

I am doing topic modeling using Latent Dirichlet Allocation. I have implemented LDA now I want to find some performance metrics for it, like accuracy, F1-score, purity, NMI. I want some help in this regard.

This task involved latent and active failures (Swiss cheese model) which is related to Health and Safety. Writers need to have a good understanding on Swiss cheese model before bidding. Interested writers could look for me and I will share you the details.

I need help on NLP analysis techniques. I have to receive the code file as well as the doc file that includes the description of each required step with its output. The required steps are the following: -Data pre-processing -Data Annotation (polarity mapping) -Data Vectorization (CountVectorizer) -Keywords...file as well as the doc file that includes the description of each required step with its output. The required steps are the following: -Data pre-processing -Data Annotation (polarity mapping) -Data Vectorization (CountVectorizer) -Keywords extraction (TF-IDF) -Keywords extraction (Word cloud) -Visualising frequently occurring words (Top ten words via plotting bar plot) - Topic Modeling using latent Dirichlet allocation (LDA) algorithm -Thematic analysis The data will b...

I'm the owner of a laboratory services start-up. I have put together a WordPress website (hosted by BlueHost) with online shop. I'm looking to increase targeted traffic through SEO research and optimization. I would also like to look at implementing an email drip campaign to our enlisted ... Our services are focused around molecular testing methods (qPCR, gene sequencing, NextGen sequencing, immunological/antigen testing) and general chemical analysis (water, soil, fertilizer constituents). Our clients include a wide range from enterprise corporations to individual hobbyists. Our most popular testing services include; cannabis sex/gender identification, pathogen detection (hops latent viroid, fusarium, aspergillus, phytophthora) and water, soil and plant tissue nutrient ...

I require to code an econometric model utilizing latent factors. predicting each countries GDP by using a global factor (includes all countries), a regional factor (includes all countries in the same region) and a country specific factor.

We want to make a game via a web browser that is a point to click in which "latent hearts" will be sold, these can be opened and obtain a "dark monster", these "dark monsters" will be able to fight against 4 different opponents (which will have different parameters of the percentage of winnings and the amount of winning token will be according to the rarity of the “dark monster”) For example Monster R1 - Earn 2 Token fighting the opponent with a 90% victory probability. Monster R2 - Earn 3 Token fighting the opponent with a 90% chance of victory There will be up to 7 rarities of "dark monsters" with 2 or 3 monsters of each rarity. And so on... When the "dark monster" wins the opponent the amount of token mentioned abo...

...refferal as commercial projects, which are under taken to provide goods or services for meeting the growing needs of the customers and providing attractive re to the investors/stake the backgrounds these projects are further grouped intlo two categories i.e., demand based and resource/supply demand based projects are designed to satisfy the coustomers felt as well the latent needs such as complex fertilizers agro-processing infra structure etc. The resource /supply based projects are those which take advantage of the available resource like land, water, agricultural produce, raw material, minerals and even human triggered by successful R&D are also considered as supply based. Examples of resource based projects include food product units, metallurgical

I need to extract the core themes of a text. Prefer using Python program to conduct Latent Dirichlet Allocation (LDA) of the text. I’m looking for someone really skilled at textual analysis.

I need LDA analysis on the extracted reviews using LDA (latent dirichlet algorithm)