Keras svm classifiercông việc
- Tìm hiểu hệ thống phát hiện/phòng chống thâm nhập (Intrusion Detection System/IPS) - Tìm hiểu thuật toán K- NN - Tìm hiểu thuật toán phân cụm SVM. - Tìm hiểu bộ dữ liệu cho hệ thống cảm biến không dây. Xây dựng chương trình thực hiện các công việc: 1. Xây dựng bài toán 2. Chuẩn bị dữ liệu 3. Xây dựng model 4. Thực nghiệm và so sánh đánh giá kêt quả
Xây dựng chương trình nhận diện lá cây bằng SVM sử dụng ngôn ngữ lập trình python
Cần người viết code Python của thuật toán C4.5 (Decision Tree) với dataset sẽ được cũng cấp. Yêu cầu : giải thích các luật Visualize rõ ràng
Đây là bài toán phân loại trong Data mining. Input: thông tin khách hàng của ngân hàng Output: nhãn phân loại Sử dụng thuật toán support vector machine (SVM) để phân loại dữ liệu khách hàng thành 2 loại là có khả năng đem lại lợi nhuận và ko có khả năng đem lại lợi nhuận.
...secure database for colleges and user data. 6. Optimize search functionality for speed and relevance. 7. Ensure seamless backend and frontend integration with APIs. 8. Students should have a login dashboard to check their application status Required Skills: Frontend: HTML, CSS, JavaScript, React.js/Angular/Vue.js. Backend: Node.js/Django, API development (REST/GraphQL). AI: Python, TensorFlow/Keras, recommendation systems. Database: MySQL, MongoDB, cloud-based storage. Tools: Git, AWS/GCP, Docker/Kubernetes. Preferred: Experience in EdTech platforms, SEO, and payment gateways....
I need a freelancer to design and implement a Long Short-Term Memory (LSTM) model to analyze my training and test data, which i...in fully labeled CSV files. The goal of this project is to maximize the True Positive Rate. Key Responsibilities: - Develop an LSTM model using the provided CSV files. - Optimize the model to achieve the highest possible True Positive Rate. Skills and Experience: - Expertise in machine learning, specifically with LSTM models. - Proficiency in Python and relevant libraries (e.g., TensorFlow, Keras). - Experience with data analysis and optimization techniques. - Strong understanding of True Positive Rate and its significance in model evaluation. Please note, the data does not require any preprocessing. It is fully labeled and does not contain any missi...
I'm looking for a graphic designer who can create a series of inspirational quotes, tailored for social media. The project is titled 'hidup keras', which translates to 'hard life' in English. This title serves as a theme, suggesting that the quotes should resonate with people facing challenges and looking for motivation. Key Responsibilities: - Design visually appealing graphics featuring inspirational quotes. - Ensure the quotes are suitable for various social media platforms. - Maintain a consistent aesthetic throughout the project. Ideal Skills: - Proficient in graphic design software. - Strong understanding of social media trends and aesthetics. - Ability to convey deep emotions through design. Please provide samples of your previous work with inspi...
I'm seeking an experienced data scientist with LSTM (Long Short-Term Memory) model expertise to help me develop an anomaly detection system. The model will be analyzing the movement data of dogs, specifically looking for an...develop an anomaly detection system. The model will be analyzing the movement data of dogs, specifically looking for any unusual patterns or behaviours. Key details: - The data is stored in CSV files. - The primary purpose of the model is to identify anomalies in the movement of dogs. Ideal skills and experience: - Proficient in Python and its data science libraries (Pandas, NumPy, TensorFlow, Keras). - Extensive experience with LSTM models and anomaly detection. - Strong understanding of working with time series data. - Experience in handling and proces...
Pada abad kekosongan hiduplah seorang bayi yg lahir di Ngawi utara diberi nama ambashall sejak kecil lingkungan ambashall memang keras dan banyak sekali perampokan yg terjadi yang membuat ambashall terbiasa dalam hal kekerasan namun sejak kematian sang ayah nya yang seorang kapten kapal bajak laut yg kapal nya karam setelah diterjang badai petir yg sangat besar membuat dia memiliki minat dengan dunia bajak laut di awal ambashall membeli kapal dari seorang bajak laut yg pensiun lalu ambashall mengumpulkan para anak buah nya saat mencari anak buah dia menemui seorang yg tergeletak di pinggir pantai dia lalu dia mengobatinya dan ternyata dia adalah navigator handal yg kapalnya hancur ketika Ditembak dengan kapal bajak laut lain setelah 3 tahun dia berhasil mengumpulkan banyak anak buah...
kepada tujuan diri anda dan jangan mengambang tujuan anda keras dan kerja cerdas orang" yang tidak bermanfaat untuk anda ada dalam kesulitan berusaha lah untuk mencari jalan solusinya jangan langsung menyerah ke uangan anda dengan bijak punya gaya hidup yang mewah sebelum anda menjadi orang yang sukses terlalu bangga untuk di puji seseorang teman yang bisa membantu anda untuk kerja sama terlalu percaya kepada orang di sekitar anda lah dari zona nyaman mu
...experience in Machine Learning to design and deliver a practical 12-week course aimed at participants who want to acquire market-ready skills. Proven expertise in Machine Learning, especially in areas such as predictive modeling, data processing, and supervised/unsupervised learning. Previous experience as a trainer or course designer (online or in-person). Proficiency in tools like Python, TensorFlow, Keras, Scikit-learn, or similar. Ability to clearly explain complex concepts in a practical and approachable manner. Strong teaching skills and a focus on active learning. Must be fluent in Spanish (spoken and written). Design a 12-week structured course with theoretical and hands-on modules. Provide real-world examples and practical projects to ensure skill application. Optiona...
Baseline Experiments: Train baseline models (e.g., Logistic Regression, Decision Trees) and evaluate performance. Model Training and Optimization: Experiment with various ML models (Random Forest, XGBoost, SVM, ANN) and perform hyperparameter tuning. Feature Analysis: Identify key features using advanced techniques (e.g., SHAP, RFE). Class Imbalance Handling: Experiment with SMOTE or class-weighted models. Performance Evaluation: Optimize models using metrics like precision, recall, F1-score, and AUC-ROC. Validation: Use cross-validation and threshold adjustment for robustness. Documentation: Log all experiments, ensure reproducibility, and provide visualizations (e.g., confusion matrices, ROC curves, feature importance plots). Requirements: Expertise in machine learning algorithms...
Baseline Experiments: Train baseline models (e.g., Logistic Regression, Decision Trees) and evaluate performance. Model Training and Optimization: Experiment with various ML models (Random Forest, XGBoost, SVM, ANN) and perform hyperparameter tuning. Feature Analysis: Identify key features using advanced techniques (e.g., SHAP, RFE). Class Imbalance Handling: Experiment with SMOTE or class-weighted models. Performance Evaluation: Optimize models using metrics like precision, recall, F1-score, and AUC-ROC. Validation: Use cross-validation and threshold adjustment for robustness. Documentation: Log all experiments, ensure reproducibility, and provide visualizations (e.g., confusion matrices, ROC curves, feature importance plots). Requirements: Expertise in machine learning algorithms...
I'm in need of a seasoned AI developer to build an advanced software so...incorporate a user-friendly interface into the solution. Specifics of the Project: - The AI solution needs to be compatible with Whole Slide Images (WSI). - The training of the AI model will be conducted using raw images without annotations. Ideal Skills and Experience: - Deep Learning Frameworks: The ideal candidate will have a strong background in using frameworks such as TensorFlow, PyTorch, or Keras. - Model Development: Hands-on experience with Convolutional Neural Networks (CNNs) and Transfer Learning is a must. - UI/UX Design: Prior experience in user interface design is an advantage. This project is a unique opportunity to contribute to a critical health solution, and I look forward to seeing ...
...pendidikan tinggi di Indonesia. Salah satu targetnya adalah menjembatani gap antara penelitian akademis dan kebutuhan dunia nyata, agar generasi muda bisa langsung merasakan dampaknya. Anak Muda Harus Tahu: Stella Adalah Inspirasi Banget! Kalau kamu butuh sosok role model, Prof. Stella Christie adalah jawabannya. Bayangkan, beliau pernah memulai kariernya sebagai mahasiswa biasa, lalu dengan kerja keras dan dedikasi, berhasil menjadi salah satu ilmuwan top di bidangnya. "Jangan takut bermimpi besar,” adalah salah satu pesan yang sering Stella sampaikan dalam berbagai forum. Ia percaya bahwa anak muda Indonesia punya potensi luar biasa, hanya butuh dukungan dan akses yang lebih baik untuk bersinar. Fokus Stella: Pendidikan Tinggi yang Keren dan Relevan Sebagai Wakil...
...Report: A detailed report including: Problem definition and project scope. Dataset description and preprocessing steps. Model architecture and training methodology. Results and evaluation metrics. Challenges faced and solutions implemented. Requirements: Strong experience in machine learning and deep learning, specifically in CNNs. Proficiency in Python and relevant libraries (e.g., TensorFlow, Keras, OpenCV). Knowledge of real-time inference techniques. Experience in working with gesture recognition or sign language projects is a plus. Additional Information: The project should be completed with clean and modular code. Detailed comments and documentation within the code are essential. The freelancer should be available for discussions and feedback sessions....
...baca untuk diri kita sendiri,berjuang dalam kehidupan harus ada pada diri kita,rasa semangat harus ada setiap hari nya. Apa yang kita impikan bisa jadi kenyataan apabila kita terus berusaha tanpa kenal lelah,seperti dalam cerita novel yang saya baca,setiap orang yang berusaha sungguh sungguh maka akan mendapatkan hasil yang memuaskan,kita bisa mencontoh orang orang yang sukses dengan terus bekerja keras dan terus bersemangat dalam hidupnya. Hal ini saya rasakan ketika saya mengalami rasa sakit,saya terus berusaha untuk sembuh karena sejati nya sehat itu mahal,saya terus mencari kesembuhan lewat mencari dokter untuk berobat,dan konsisten dalam menjalani masa berobat kemudian penyembuhan,dan pada akhirnya kesembuhan pun datang di kehidupan saya,saya sangat merasa bahagia atas kesem...
I am looking for a data scientist and a writer with experience in machine learning, particularly with Bi-directional LSTM deep learning algorithms. Your task will be to write an article suitable for journal publication on air pollution prediction using PM2.5 ...should be as beginner friendly as possible to avoid suspision. the journal/article should be published in websites where more b tech final year students upload their article not on some international websites except google scholar,springer,etc should be completed within a time span of 20 days Ideal candidates will have: - Proficiency in Python and familiarity with libraries such as TensorFlow or Keras. - Experience with data visualization tools. - Strong academic writing skills. - Previous publication in a scientific journal ...
...Report: A detailed report including: Problem definition and project scope. Dataset description and preprocessing steps. Model architecture and training methodology. Results and evaluation metrics. Challenges faced and solutions implemented. Requirements: Strong experience in machine learning and deep learning, specifically in CNNs. Proficiency in Python and relevant libraries (e.g., TensorFlow, Keras, OpenCV). Knowledge of real-time inference techniques. Experience in working with gesture recognition or sign language projects is a plus. Additional Information: The project should be completed with clean and modular code. Detailed comments and documentation within the code are essential. The freelancer should be available for discussions and feedback sessions....
...performance using metrics like accuracy, precision, and recall, comparing results with expert dental evaluations. Dataset: The dataset consists of high-resolution IOPA X-ray images collected from dental clinics, formatted as JPEG/PNG files. Preferred Skills: Experience with Python, TensorFlow, or PyTorch Knowledge of computer vision and medical imaging Familiarity with tools like OpenCV, Keras, or similar frameworks Experience in preprocessing and working with radiographic images is a plus Budget: Open to proposals, looking for a cost-effective solution. Timeline: We expect the project to be completed within 3-5 weeks. Deliverables: A fully functional model for root canal detection Documentation on implementation, usage, and model evaluation Sou...
Berikut adalah deskripsi lengkap tentang freelance: Definisi Freelance adalah pekerjaan independ...Buat portofolio yang menarik. 3. Berikan pelayanan yang baik. 4. Komunikasikan dengan klien secara efektif. 5. Terus belajar dan berkembang. 6. Manfaatkan platform freelance. 7. Jaga kualitas kerja. 8. Atur waktu dan prioritas dengan baik. Persyaratan 1. Usia minimal 18 tahun. 2. Keterampilan teknis sesuai bidang. 3. Pengalaman kerja (opsional). 4. Pendidikan yang relevan (opsional). 5. Perangkat keras dan lunak yang memadai. 6. Koneksi internet yang stabil. Sumber Daya 1. Situs web freelance. 2. Buku tentang freelance. 3. Kursus online. 4. Komunitas freelance. 5. Blog tentang freelance. Apakah Anda ingin tahu lebih lanjut tentang freelance atau membutuhkan bantuan memulai karir fr...
...kertas. Hal ini membuat proses daur ulang menjadi sulit dan berdampak buruk pada lingkungan. Tujuan: Membuat tempat sampah pintar (smart trash bin) yang bisa mengenali jenis sampah secara otomatis dan membantu masyarakat memilah sampah dengan lebih mudah. Tim Proyek: 1. Thea (Koordinator Proyek): Mengatur jadwal, distribusi tugas, dan evaluasi hasil. 2. Ardian (Teknisi): Mendesain perangkat keras seperti sensor dan komponen elektronik. 3. Ashrafi (Programmer): Menulis program untuk algoritma pengenalan jenis sampah. Tahapan Proyek: 1. Penelitian Awal: Melakukan survei kepada warga tentang kebiasaan membuang sampah. Mempelajari teknologi sensor yang mampu membedakan bahan sampah (misalnya sensor warna atau logam). 2. Desain Prototipe: Membuat desain awal tempat sa...
Berikut adalah deskripsi lengkap tentang freelance: Definisi Freelance adalah pekerjaan independ...Buat portofolio yang menarik. 3. Berikan pelayanan yang baik. 4. Komunikasikan dengan klien secara efektif. 5. Terus belajar dan berkembang. 6. Manfaatkan platform freelance. 7. Jaga kualitas kerja. 8. Atur waktu dan prioritas dengan baik. Persyaratan 1. Usia minimal 18 tahun. 2. Keterampilan teknis sesuai bidang. 3. Pengalaman kerja (opsional). 4. Pendidikan yang relevan (opsional). 5. Perangkat keras dan lunak yang memadai. 6. Koneksi internet yang stabil. Sumber Daya 1. Situs web freelance. 2. Buku tentang freelance. 3. Kursus online. 4. Komunitas freelance. 5. Blog tentang freelance. Apakah Anda ingin tahu lebih lanjut tentang freelance atau membutuhkan bantuan memulai karir fr...
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I need a skilled Python developer to implement a pre-trained image classification model into my Anaconda environment. This model was developed on Teachable AI. The Python code should allow the display of JPEG images on the borders of my WebCam feed, based on the objects detected by the image classification model. Ideal skills and experience for the job: - Deep understanding of Python programming. - Experience working with Anaconda and Teachable AI. - Ability to manipulate and display JPEG images in real-time. - Familiarity with image classification models. - Problem-solving skills to ensure seamless integration with the WebCam feed.
Spyglas,VCS,DC,DFT,Verdi,Catapult,Synplify,VerilogXL,Virtuoso,Xcelium,Spectre,Allegro,Vivado,Quartus,ModleSim, Matlab,Octave,Signal Generator,Logic Analyzer,Anaconda,Tensorflow,Keras,Darknet ,notepad++. Language mastery: Verilog,SystemVerilog,UVM,C,C++,VHDL,Python,Firmware etc. Familiar with using: Linux, Windows,Unix,MS-DOS,FreeRTOS. PreviousFields: AISC/IP/IC design,SOC design/verification,FPGA Design/Verification and debugging,AI (especially deep learning),complex digital systems,complex communication systems,mixed digital and analog systems. Work experience focused in Beijing China 5+ years of ASIC experience and 10+ years of FPGA experience, experienced Senior Technical Lead with a demonstrated history of working in the semiconductors industry. Part of 5+ tape outs....
...algorithms to real-world datasets. The tasks will focus on regression and classification, with both requiring practical implementation, performance evaluation, and detailed reporting. Task Breakdown: Regression Task: Choose two regression algorithms (e.g., Linear Regression, Random Forest, Decision Trees, SVM, etc.). Apply them to a dataset of your choice. Evaluate and compare their performance. Classification Task: Choose two classification algorithms (e.g., Naïve Bayes, K-Nearest Neighbors, SVM, etc.). Apply them to a dataset of your choice (or the same dataset if applicable). Evaluate and compare their performance. Requirements: Submit a single zipped folder containing: Source code for both tasks. Datasets used. Reports for each task explaining: How each algori...
- Develop the code for feature reduction and classifier as per the assignment document - Write the report answering the specific questions
...data. Provide clear documentation of the model development process, including data preprocessing, model architecture, and evaluation. Collaborate with our team to integrate the prediction model into a gold trading website. Requirements: Proven experience in machine learning and deep learning, specifically in time-series forecasting. Proficiency in Python and libraries such as TensorFlow, PyTorch, Keras, or equivalent. Experience with financial or commodity price prediction models is a plus. Strong knowledge of data preprocessing techniques for time-series data. Ability to explain and document technical concepts clearly. Familiarity with concepts like LSTM, GRU, or SGRU is preferred. Strong problem-solving skills and attention to detail. Deliverables: A trained and validated gol...
...kertas. Hal ini membuat proses daur ulang menjadi sulit dan berdampak buruk pada lingkungan. Tujuan: Membuat tempat sampah pintar (smart trash bin) yang bisa mengenali jenis sampah secara otomatis dan membantu masyarakat memilah sampah dengan lebih mudah. Tim Proyek: 1. Thea (Koordinator Proyek): Mengatur jadwal, distribusi tugas, dan evaluasi hasil. 2. Ardian (Teknisi): Mendesain perangkat keras seperti sensor dan komponen elektronik. 3. Ashrafi (Programmer): Menulis program untuk algoritma pengenalan jenis sampah. Tahapan Proyek: 1. Penelitian Awal: Melakukan survei kepada warga tentang kebiasaan membuang sampah. Mempelajari teknologi sensor yang mampu membedakan bahan sampah (misalnya sensor warna atau logam). 2. Desain Prototipe: Membuat desain awal tempat sa...
- Develop the code for feature reduction and classifier as per the assignment document - Write the report answering the specific questions
I'm looking for an expert in neural networks for a predictive modeling project. The focus will be on working with structured data, specifically tabular data. The ultimate goal is to develop a model that can generate regression values. Ideal Skills: - Proficiency in neural networks and predictive modeling - Experience with structur...modeling project. The focus will be on working with structured data, specifically tabular data. The ultimate goal is to develop a model that can generate regression values. Ideal Skills: - Proficiency in neural networks and predictive modeling - Experience with structured, tabular data - Skills in generating and interpreting regression values - Familiarity with Python and libraries like TensorFlow or Keras - Strong statistical analysis and problem...
...through experimentation, hyperparameter tuning, and model evaluation Stay updated with the latest AI and machine learning research trends to apply cutting-edge technologies and techniques. Implement best practices in coding, version control, and continuous integration for AI/ML projects. Required Skills & Qualifications: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Troubleshoot and resolve issues related to machine learning models and AI applications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field Strong proficiency in programming languages such as Python, Java, or C++ Solid understanding of AI techniques, including supervised and unsupervised learning, reinforcement ...
...through experimentation, hyperparameter tuning, and model evaluation Stay updated with the latest AI and machine learning research trends to apply cutting-edge technologies and techniques. Implement best practices in coding, version control, and continuous integration for AI/ML projects. Required Skills & Qualifications: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Troubleshoot and resolve issues related to machine learning models and AI applications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field Strong proficiency in programming languages such as Python, Java, or C++ Solid understanding of AI techniques, including supervised and unsupervised learning, reinforcement ...
I'm in need of a seasoned AI developer to build an advanced software so...incorporate a user-friendly interface into the solution. Specifics of the Project: - The AI solution needs to be compatible with Whole Slide Images (WSI). - The training of the AI model will be conducted using raw images without annotations. Ideal Skills and Experience: - Deep Learning Frameworks: The ideal candidate will have a strong background in using frameworks such as TensorFlow, PyTorch, or Keras. - Model Development: Hands-on experience with Convolutional Neural Networks (CNNs) and Transfer Learning is a must. - UI/UX Design: Prior experience in user interface design is an advantage. This project is a unique opportunity to contribute to a critical health solution, and I look forward to seeing ...
...essential: 1. Pytesseract - A wrapper for Google's Tesseract-OCR Engine, used for text extraction from images. 2. OpenCV - A library for image processing that will assist in preparing images for OCR, including resizing, filtering, and enhancing image quality. 3. EasyOCR - An alternative OCR library that utilizes deep learning models for high accuracy in text recognition. 4. Keras-OCR - A library built on Keras that provides pre-trained models for OCR tasks, especially useful for complex layouts or handwritten text. 5. Pandas - A powerful data manipulation library that will be used to create and manage the CSV output files. 6. XML Libraries (e.g., lxml or ) - Libraries for generating XML files from extracted data. 7. PDF2Image - A library to conver...
I have a dataset consisting of integers and I need a proficient deep learning professional to assist me in developing a model that can predict 8 binary labels based on 26 numerical features. The model should achieve an accuracy of at least 90%. I prefer the use of a ResNet model for this task. Key Requirements: - Justification for the choice of the deep learning mod...communication I have specific steps for preprocessing this dataset. The steps include normalization, standardization, feature engineering, and general data preprocessing. Hence, I am not in need of suggestions nor will I handle the preprocessing myself. Please note, there is no preferred framework for this project. Your expertise in any deep learning framework such as TensorFlow, PyTorch or Keras will be greatly ap...
...handle large-scale data efficiently. Required Technical Qualifications: 1. Experience: Minimum of 2 years of professional experience in computer vision, with a proven track record of working on complex image processing and ML projects. 2. Programming Skills: Proficient in programming languages such as Python, C++, and MATLAB. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. 3. Algorithm Expertise: Strong understanding of computer vision algorithms and techniques, including but not limited to convolutional neural networks (CNNs), object detection (e.g., YOLO, Faster R-CNN), image segmentation (e.g., U-Net), and feature extraction. 4. AI/ML Knowledge: In-depth knowledge of machine learning principles and experience with supervised, unsupervised, and rei...
...handle large-scale data efficiently. Required Technical Qualifications: 1. Experience: Minimum of 2 years of professional experience in computer vision, with a proven track record of working on complex image processing and ML projects. 2. Programming Skills: Proficient in programming languages such as Python, C++, and MATLAB. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. 3. Algorithm Expertise: Strong understanding of computer vision algorithms and techniques, including but not limited to convolutional neural networks (CNNs), object detection (e.g., YOLO, Faster R-CNN), image segmentation (e.g., U-Net), and feature extraction. 4. AI/ML Knowledge: In-depth knowledge of machine learning principles and experience with supervised, unsupervised, and rei...
I need a deep learning specialist who can help me implement a surrogate model based on a research paper, but using a different dataset. This project will involve: - Utilizing both MATLAB and Python (Spyder) programming environments. ...a different dataset. This project will involve: - Utilizing both MATLAB and Python (Spyder) programming environments. - Employing a custom dataset for model training and validation. - Creating and optimizing scattering parameters using the model. Ideal candidates should have a robust understanding of deep learning frameworks, with preference given to those skilled in TensorFlow, PyTorch, and Keras. Prior experience with surrogate models and custom datasets will be a significant advantage. In short implement paper as it is using different dataset c...
...essential: 1. Pytesseract - A wrapper for Google's Tesseract-OCR Engine, used for text extraction from images. 2. OpenCV - A library for image processing that will assist in preparing images for OCR, including resizing, filtering, and enhancing image quality. 3. EasyOCR - An alternative OCR library that utilizes deep learning models for high accuracy in text recognition. 4. Keras-OCR - A library built on Keras that provides pre-trained models for OCR tasks, especially useful for complex layouts or handwritten text. 5. Pandas - A powerful data manipulation library that will be used to create and manage the CSV output files. 6. XML Libraries (e.g., lxml or ) - Libraries for generating XML files from extracted data. 7. PDF2Image - A library to conver...
I'm seeking for someone with expertise in deep learning...dataset. The goal is to pinpoint potential biomarkers for early cancer diagnosis. The project does not favor any specific deep learning framework, so proficiency in TensorFlow, PyTorch, or Keras is all welcome. Key Responsibilities: - Analyze multi-omic data including CNV, Methylation, somatic mutation, and gene expression. - Develop a deep neural network architecture to identify potential biomarkers. - Utilize XAI (Explainable Artificial Intelligence) techniques to provide interpretability to the model's predictions. Ideal Skills and Experience: - Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras). - Experience with multi-omic data analysis. - Background in cancer research is a plus. - K...
I'm in n...Optimization: It's crucial to optimize these models for both speed and accuracy, ensuring they can perform in real-time or near-real-time. - API Integration: A user-friendly API will need to be developed for smooth integration of this text extraction system into our applications. Required Skills and Experience: - Strong proficiency in Python and deep learning frameworks such as TensorFlow and Keras is essential. - Prior experience with computer vision and image processing techniques will be beneficial. - A solid understanding of text recognition techniques. - Excellent problem-solving and debugging skills. - Strong collaboration abilities. Please note that the specific image formats the system should support and the primary application for the system have not ...
...mengurangi limbah, dan mendukung ekonomi hijau. Kami berencana untuk mengintegrasikan beberapa sensor seperti sensor suhu pada mesin pemotong kayu otomatis dan sensor kelembaban untuk memantau kondisi bahan baku. Kami membutuhkan seseorang yang dapat membantu kami dalam: Memilih dan mengintegrasikan sensor suhu dan kelembaban ke dalam sistem produksi kami. Membantu dalam pengaturan perangkat keras dan perangkat lunak untuk memantau dan menganalisis data yang dikumpulkan. Menyusun dan mengonfigurasi cloud platform untuk pengolahan dan visualisasi data secara real-time. Apakah Anda memiliki pengalaman dengan proyek serupa? Jika ya, bisakah Anda memberikan beberapa contoh proyek yang telah Anda kerjakan sebelumnya? Kami ingin mendapatkan gambaran mengenai biaya dan estimasi waktu...
Our project is geared towards developing a robust system for identifying phishing websites. This will involve scraping URL data, extracting key features and employing an unsupervised machine learning classifier to pinpoint suspicious URLs. Key project components: - Web Scraping: Collecting URL data from public datasets. - Feature Extraction: Identifying and extracting relevant characteristics from the URLs. Key features to be considered include domain age, presence of IP address in URL, and number of subdomains. - Real-Time Detection: Implementing a system for immediate identification of phishing threats. Tech Stack: - Back-end: Python, Machine Learning Model - Front-end: Tailwind CSS, Flask Ideal candidates for this project should have: - Proficiency in Python and experience wit...
...analitik produktivitas. Pengujian Aplikasi: Melakukan pengujian fungsionalitas dan kinerja aplikasi untuk memastikan keandalan dan keamanan. Peluncuran dan Pemeliharaan: Meluncurkan aplikasi di toko aplikasi dan memberikan dukungan serta pembaruan secara berkala. Sumber Daya yang Dibutuhkan: Tim Pengembang: Programmer, desainer antarmuka pengguna, dan spesialis analitik. Alat Pengembangan: Perangkat keras dan perangkat lunak seperti komputer, perangkat mobile untuk pengujian, dan alat pengembangan aplikasi seperti IDE dan emulator. Sumber Daya Informasi: Informasi dan data tentang kebutuhan pengguna, tren teknologi, dan praktik terbaik dalam pengembangan aplikasi mobile. Waktu Pelaksanaan: Analisis Kebutuhan Pengguna: 2 minggu Desain Antarmuka Pengguna: 3 minggu Pengembangan Apli...
...Vergelijk ook telkens met de resultaten van een dummy classifier . Doe dit voor de volgende drie scenario’s: • ( / 1.5 ) o C : Je classificatiealgoritme is de Stochastic Gradient Descent classifier . o T : Je kiest één sport. Je training set bestaat uit je oorspronkelijke training set, waarbij alle labels vervangen werden door True (wanneer het oorspronkelijke label gelijk is Opdracht 2 aan die bepaalde sport) of False (wanneer het oorspronkelijke label gelijk is aan één van de vier andere sporten). o P : Je berekent de precision en recall van je algoritme op basis van de predicties die het maakt voor je test set. • ( / 1.5 ) o C : Je classificatiealgoritme is de Stochastic Gradient Des...
I'm seeking a professional with deep learning expertise to assist in the development of a deep learning model. Detail: I have numbers 1-42 each randomly drawn. Each draw is 5 numbers. That means each number can be drawn at least 1 time in 9 draws. Please check the attached data files. I am going to predict next draws using Random Forest Classifier now. Model was trained, and tested. But I have some issues in prediction probabilities for the next draw using "predict_proba" function. probs = model.predict_proba(X_test) This issue is one of issues I have now. Thanks.
Experience with machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn. • Hands-on experience with cloud platforms such as AWS, Azure, or GCP. • Experience in Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN, Transformers, etc. • Experience in Natural language processing (NLP) tools: NLTK, Spacy, and Gensim. • Experience in MLOps tools such as Kubeflow, MLflow, or Azure ML. • Knowledge/hands-on experience with workflow tools like Airflow. • Experience with Microservices architecture. • Experience with SQL and NoSQL databases such as MongoDB, Postgres, Neo4j, etc. • Experienced with Rest API python frameworks such as Fast API/Flask/Django. • ...
...Model Training To build a complex and advanced GPU-based training model, especially for deep learning, machine learning, data processing, and performance monitoring, the following libraries are recommended. 1. Deep Learning and Machine Learning Frameworks · • TensorFlow (with GPU support): tensorflow-gpu · • PyTorch (with GPU support): torch, torchvision, torchaudio · • Keras: keras · • XGBoost (with GPU support): xgboost · • LightGBM (with GPU support): lightgbm · &nb...
