Enhanced Brand-Industry Detection with Limited Data (Contextual Augmentation)

Hello I am Zainab, I am excited to get into this project. I have experience in data science, machine learning, and Artificial Intelligence Looking forward to hearing from you!

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I have read project requirements for Develop an advanced brand-industry detection model that leverages a transformer-over-transformer (TOT) architecture based on xlm-roberta while addressing the challenge of limited data availability using contextual augmentation. I am from India GMT +5:30 and I am available from 8:00 AM to 11:00 PM. We have 16+ years of experience in software development. We have developed 600+ projects and the research paper in the field of Machine Learning, Artificial Intelligence and Image processing (GIS), Network, SEO based Web and mobile apps. We have successfully completed the project of ChatGPT, Deep Learning, Computer vision, Natural Language Processing (NLP), Encryption decryption, Face detection, UML Diagram, OCR, Big data, data mining, data analysis, Statistics, Trading, Text, Image, multiclass classification using Azure ML, Tensorflow, R Programming, OpenCV, Matlab, Hadoop, Artificial Intelligence program using PROLOG, Robotics software, TCP-UDP Networking project, cloud computing, etc. Note: Project with QA, testing, comments in the code, so it's easy to understand the flow of Project.

*** We understand the importance of detecting brands and industries in large volumes of data. With our expertise in data science, machine learning, artificial intelligence and neural networks, we are confident that we can develop an advanced brand-industry detection model that leverages a transformer-over-transformer (TOT) architecture based on xlm-roberta that addresses the challenge of limited data availability. Our team is made up of skilled developers with extensive background in data pipelines, Deep Learning and other relevant technologies. This makes us well-positioned to tackle the project at hand. Our success stories span across industries, working with top Fortune 50 companies and medium-scale enterprises. If you're looking for a reliable partner who can deliver high quality results rapidly then feel free to reach out to us today! Note: The amount provided does not reflect the actual pricing. Our developers are available for hourly rates.

I understand that you are looking for someone to develop an advanced brand-industry detection model that leverages a transformer-over-transformer (TOT) architecture based on xlm-roberta while addressing the challenge of limited data availability using contextual augmentation. With my extensive software development experience and knowledge in machine learning, I believe I am the perfect fit for this project.

Hi. Thanks for your posting. I have just read your proposal and I am sure I can complete the project on time. I am an expert in ML/DL who has many years of experiences. Please contact me to discuss the project in more details. Waiting for your contact now... Thanks. Best Regards.

Hello, I'm Divyang Mandani, and I'm excited to take on the challenge of developing an advanced brand-industry detection model using a transformer-over-transformer (TOT) architecture based on xlm-roberta. I'm well-prepared to address the data limitation challenge by implementing contextual augmentation techniques. Here's why I'm the right fit for your project: 1. Expertise in Transformer Models: I have extensive experience in working with transformer-based models, including xlm-roberta. I understand their architecture and capabilities, making me well-suited for this task. 2. Data Augmentation Proficiency: Dealing with limited data is a common challenge in machine learning, and I'm skilled in using contextual augmentation to enhance the model's performance and robustness. 3. Brand-Industry Detection: I have a strong background in natural language processing (NLP) tasks, including text classification and named entity recognition, which are directly relevant to brand-industry detection. 4. Result-Oriented Approach: My goal is to deliver a highly accurate and reliable model that fulfills your project's objectives. I'm eager to collaborate with you to develop this cutting-edge brand-industry detection model. If you have any questions or would like to discuss specific project details, please don't hesitate to reach out. Best regards, Divyang Mandani Founder, KriraAI Infotech

Python, NLP Expert Here Please contact me to discuss more, let's talk over chat here Thanks

Hello. I hope you are doing well. I have 10 years of experiences in ML & DL, Computer Vision & Image Processing. I have handled Object detection/recognition, Image classification, OCR, ANPR/ALPR, Time-series forecasting, Pose estimation, Face emotion recognition using CNN/RCNN/RNN/LSTM/GNN/GAN/SVM/SVR/... and C/C++/Python/Matlab(Pytorch, Tensorflow, Keras, tesseract, pandas, numpy and so on). I can provide you with the perfect result on time. Please contact me so that we can discuss the details of the project. Thank you for your time.

I can create an advanced brand-industry detection model with a transformer-over-transformer (TOT) architecture based on XLM-Roberta. I'll address the data scarcity challenge using contextual augmentation techniques, enhancing the model's accuracy and robustness. Let's discuss your specific requirements and objectives for this project.

Hi!I am a Artificial Intelligence expert that is proficient in Python/Java expert with over 5 years experience dealing with Software, I can help working with your projects. I've previously worked on the exact same project for another employer. Basick Knowledge: Pandas, Numpy, Coverage, UnitTests, Docker Web Automation with Selenium, Beautifulsoup Pdf Parsing, OCR, Parsing Grammar from formula, White noising. Network building like nb-iot with dataset, IDS building with CTU-13, KDD Dataset Fake News detection Script with Dataset, Tor network related Script MLP, NLP and more base for ml and dl deliver. Payment server building using Flask and Django Scraper building for several business ML and Deep Learning for classification and prediction(Tensorflow) using PIP, anaconada, Cuda - football prediction, football betting using MLP, Roc, Clustering - image recognization and face recognization using Keras, Pytorch - face recognition, video streaming integration for people verification Python trading strategy establishment and auto trading implmentation with api. ML and DL with web interface using Django Unit Testing with Coverage in Pycharm Database: Mysql, Sqlite, Mongo, Postgresql, Ms Sql When do you need this finished by? I understand how this task should be done with my skillsets, and can get this done for you quickly and qualifiedly! Please research my work sample i worked before and I look forward to working on this project with you. Thanks.

DEAR EMPLOYER, I can assure you 100% that we are fully capable of executing any level of task/project based on the skill required. I am fully confident about our skills and my understanding of the project description and we are ready to go through any test or sample task you assign to acquire your trust. Let me know when are you available for an initial 15-30 minutes discussion (free of charge) so we can discuss the requirement in detail and I can walk you through the mentioned systems to acquire your trust in my skill Rest assured your work is in very safe and professional hands. THANK YOU

Hello there! My name is Yuna and I am an experienced AI and software engineer with a strong background in Web & mobile app development. I specialize in developing Web & native and cross-platform mobile applications for iOS and Android platforms. My experience has allowed me to develop successful projects that meet customer expectations. I am excited to learn more about your project and help bring your vision for enhanced brand-industry detection with contextual augmentation to life! With my machine learning expertise, I can develop an advanced brand-industry detection model that leverages a transformer-over-transformer (TOT) architecture based on xlm-roberta while addressing the challenge of limited data availability using contextual augmentation. This model will provide increased accuracy while reducing computational costs compared to existing solutions. I would be delighted to discuss potential collaborations at any time. Thank you for considering me for this important project!

Hello, I hope this communication finds you in good health. I'm writing to express my interest in working on this project because I have all the necessary abilities. I have a strong background in NLP and machine learning. I can meet deadlines and produce high-quality work for you. If you would want additional information about the project, please get in touch with me. Warm regards,

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Hi! I have read all the instructions and am the right person to work on this task; I am reaching out to see whether the opportunity is still available. As you can see from previous clients, I deliver exceptional quality work, I’m incredibly passionate about your project, and my style compliments your requirements: Click on the that__CHAT__button below so that I can ask a few questions concerning your project. If the job’s no longer available, I’d appreciate you throwing my hat into the ring for any similar opportunities in the future. Thank you for your time; I look forward to hearing from you soon, Best Wishes, Damaris

Hi. Experienced NLP and Machine Learning developer here with 8+ years of hands-on experience. I can assist you in developing an advanced brand-industry detection model with a transformer-over-transformer (TOT) architecture based on xlm-roberta, addressing limited data availability through contextual augmentation. To proceed further, I kindly request the following information: 1. What is the specific scope and objective of this brand-industry detection model? 2. Could you provide any sample data or guidelines for contextual augmentation? 3. Are there any particular industry domains or languages this model should focus on? 4. Do you have any preferences for deployment platforms or frameworks? Please initiate a chat so we can discuss the project thoroughly. I look forward to collaborating with you on this innovative NLP endeavor.

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Hello there, really exciting one here, I'll give a skeleton approach, take a look, if you think this will be a good starting point, hit me up. Technical Approach: Architecture Selection: Will adopt a Transformer-Over-Transformer architecture, building on the strengths of XLM-RoBERTa. This choice will facilitate multilingual capabilities and handle diverse textual data effectively. Data Augmentation: Due to limited labeled data, I'll will employ various data augmentation methods, including back-translation, text paraphrasing, and synthetic data generation. These techniques will enhance the model's ability to generalize. Preprocessing: Extensive text preprocessing will be conducted to clean and normalize data. This will include tokenization, stemming, and entity recognition to improve model performance. Model Training: Our model will be fine-tuned on the augmented dataset with a multi-task learning approach, optimizing for brand and industry detection simultaneously. We will employ transfer learning from XLM-RoBERTa as a strong base model. Evaluation Metrics: Model performance will be assessed using precision, recall, F1-score, and ROC AUC. To gauge its ability to adapt to limited data, we will conduct cross-validation and ablation studies.