Knime classificationJobs

Who we are: Brought to life by a Kickstarter campaign in 2013, Commodity has gone from crowd-funded to crowd-favorite thanks to its continuous redesign of the fragrance experience. Most notable is their coining of Scent Space: a classification system that invites you to take control of your fragrance's projection, of who else experiences your fragrance. Each Commodity fragrance is available in three different Scent Spaces-Personal, Expressive, and Bold-so that you can choose your fragrance and your projection. Looking for: Intern/ Junior Level Graphic-Designer Tasks: - Conceptualize, design and produce on-brand creatives, visuals and videos for our social media accounts and social ads (Instagram, Facebook, YouTube etc.) - Support our newsletter formats in terms of on-brand...

Fraud claim classification on car dataset

I have python code with glcm for image processing for classifying a mango. and the model I have created, but I need to implement it to android with kotlin/java for image classification(input image and predict and show the result) you can try dataset

Looking for an experienced AI/ML developer for a 1-month project. This project involves creating a text classification framework using NLP. This framework can support text classification for different Indian languages. Connect algorithms with Rest APIs to provide end-to-end results in python language. Expertise in Python Development, Rest APIs development, and Github.

Using Lexical processing and Naive Bayes to build a sentiment classification engine

This project aims to apply some suitable AI/ML methods to search the internet, the images in particular, and other multi-media materials, such as videos if possible, to retrieve the truly relevant ...as videos if possible, to retrieve the truly relevant ones, and to extract and classify them into some predefined categories. i need a project something related to this: or something related to this: in the above two projects, classification of weather or weather prediction took place, but I need classification of climate events. a search algorithm to find the images of climate event has to be chosen and then classification model has to be built.

Need guidance on K-means algorithm, cluster detection and classification

...and Remote sensing principles and methods to analyze data and solve geospatial problems for Remote Sensing/ LiDAR projects. • Work on variety of projects in support of Geospatial technologies. • Train technicians in the use of remote sensing technology and in technical or scientific procedures. • Completes Orthophoto projects within deadlines to meet customer needs • Experience in LiDAR data classification of buildings, roads, utilities, vegetation, bare earth, development of DTM. • Working experience in 3D environment. • Working experience on TerraScan, TerraModel and MicroStation. • Knowledge on identification of Land base features. • Should have good feature interpretation, segregation and presentation skills. • Should be good in 3D...

Develop an end-to-end deep learning-based image classification model for datasets like CIFAR 10, CIFAR100, MNIST, FMNIST, etc. Use an implementation of CNN model on Python with Keras or TensorFlow and transfer learning to recognize simple scenarios like CAT, DOG for our purpose object1,2,3 Project have to be based on Nvidia Jetson sample or demo or tutorial or blog for example: 4.1. NVidia Transfer learning 4.1a. 4.1b. 4.2. training-custom-pretrained-models-using-tlt/

...understanding phases. Explain the rationale for these tasks and document the changes that you have made to the data set. Modeling: Consider the strengths and weaknesses of different modeling techniques. Implement the appropriate techniques, explain the rationale for your selection, and present relevant analysis results and interpretation. For the supervised techniques, determine whether to use classification or prediction models and explain your decision. Identify the best model(s). Evaluation: Refocus on the business objectives of the project. Review the steps executed to construct the model to ensure no key business issues were overlooked. Evaluate whether the models have properly achieved the business objectives outlined during the business understanding phase. Formulate actio...

...warehouse design and implementation • Must have experience on Data Governance (Data Quality controls, Data classification etc.) Good to Have • Nice to have experience in AWS Glu, Redshift, AWS RDS, EC2 etc. • Nice to have experience in Azure SQL Desired Persona • 3 years plus Considerations • 22nd Jan 2021 onwards • Monday to Friday • 1 PM to 10 PM • 1 Year Contract Interested Profiles, Provide inputs to the following • Expertise Level <<- on a scale of 1 to 10>>- • GCP - • Big Query - • Python - • Spark - • Databricks - • Highlights of experience in Data warehouse design and implementation – • Highlights of experience on Data Governance (Data Quality controls, Data classific...

Topic 3: Image Classification on Edges Introduction: Here are short videos to show you what is edge detection: Dynamic Feature Fusion for Semantic Edge Detection (DFF) Finding the Edges (Sobel Operator) - Computerphile Canny Edge Detector - Computerphile However, the main task of this project is not to detect edges but to do image classification tasks with those edges you detected (with deep learning methods described in the paper [1] and [2]). Papers: [1]Dynamic Feature Fusion for Semantic Edge Detection [2] Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection Problem 1: what is the problem the two papers aim to solve, and why is this problem important or interesting? (5 points) Problem 2: 1) summarize the two methods, including high-level ideas...

spectral analysis of HRV to identify different heart diseases from Normal Subjects evaluate the system efficiency (Specificity, Sensitivity, Accuracy) To use different features in classification including (FFT, PDWT)

We have 2 Tflite Models for Image Classification and Object Detection. We are looking to validate the model with Dataset of 40 Images and share the results.

...that define the project performance are scope, time and parameters are interrelated and relationship generally represented as an equilateral relationship is shown in figure 1. It is evident that any change in any one of dimensions would effect example, if the scope is enlarged, project would require mor time for completion. Project classification: Industrial projects also 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

A machine learning classification problem being solved using neural networks. Code debugging and running of debugged code for simulating it and verifying the accuracy. Code is in Python and Simulation required in MATLAB. Single person project. Code is available, minor changes required. Not much of effort required. Work is urgent / priority.

I want simple Prolog program Document must br contain : Classification Tree of prolog program Program contains facts , rules..with some intelligence query.. Examples: 1-Fruit 2-cars

I’m having an online exam on Dec 8 9AM-12.00AM (GMT+7 Time). The exam will be about AI and Machine Learning. Here are the topics that maybe in the exam… • Fuzzy logic • Fuzzy Inference System • Fuzzy membership • Classification • Clustering • Neural network (perceptron) • Activation function • Mlp - genetic algorithm I do not know how many questions would be on the exam but based on past exams from this professor there may a minimum of six questions. The questions are combined with short answers and calculations, no multiple choices. What I want you to help me with is, on the time of the exam, I would send you the exam questions online by Dec 8 9AM (GMT+7 Time) and I would like you to answer the questions on the exam and...

description will be given in chat

Machine Learning development with python using multiple frameworks(Django, Flask) and libraries (TensorFlow, Scikit-Learn, OpenCV, NLTK). Programming Language Python, R, SQL, Java, C, JavaScript Key Skills ● Software Development ● Machine Learning ● Deep Learning ● Predictive Analysis ● Data Visualisation ● Statistical Modelling ● ...Statistical Modelling ● Data Analytics ● Data Mining ● Quantitative analysis ● Model Development ● Cloud Computing TOOLS: Flask, Django, AWS, Google Cloud, MySQL, PostgreSQL, Airflow, Tableau, Apache Spark Deep Learning :Keras, NLTK, OpenCV Data Mining NumPy, Pandas, Sklearn, SQL. Statistics/Machine Learning Statistical Analysis, Hypothesis Testing, Linear/Logistic Regression, Clustering, Classification. Data Visualisation Tableau, Seaborn, Matplotlib

I have a research paper ( attached ), I need someone to implement the same paper and provide the same results they have reported in the paper. 1. All the experiments, Datasets, different architectures should be implemented. 2. The results of the module should be the same as the results they have reported. 3. Detail session after implementation (explain everything in the code) is needed. Thanks.

i have an image classification model and i want to create A GUI for the system to integrate all the components of the system and facilitate the functionality demonstration of the system, a want the most basic and simple GUI, no good design is needed.

There is a popular dataset on Violence Detection on Kaggle. I need someone who can train a sound classification model with that dataset to be able to predict if there is any "Violent" or "Non-violent" behaviour by hearing the sound. After importing the dataset and converting them to sound file, apply a filter and then use mel spectogram. Use Pycharm IDE and Pytorch and CNN to do the task. Use Python programming languae Budget is AUD 30. Message me for more details.

I need a business continuity plan. The following must be covered: Risk mitigation strategies and controls, data security classification, Extreme scenario and worst-case scenario planning, risk mgmt, technologies, and user behaviours, Business models, Impact analysis, security, privacy policies, and procedures in risk mgmt., continued maintenance of the BCP.

(a) Acquire dataset of targets to be classified (b) Preprocess the data for classification (feature extraction) (c) Implement a complete pipeline of target recognition with a lighter CNN (d) Use hardware accelerator to perform real-time inference

We are looking for a deep learning engineer to support us in a DL project focused around time-series classification.

(a) Acquire dataset of targets to be classified (b) Preprocess the data for classification (feature extraction) (c) Implement a complete pipeline of target recognition with a lighter CNN (d) Use hardware accelerator to perform real-time inference

Check all fields/tables are there (data spec attached detailing what we requested). Check that we have date & time for transactional data and what is the unique combination. Check and the fields link together i.e. transaction ids from baskets tables links to the sales tables and to shops table. Are there any missing tables. check the proportion of barcodes we have coded in barcode master and whether the descriptions from the data aligns with barcode master. Look at any barcodes which don't match and get an idea of the value of these barcodes. As we can't do a validation based on dump codes. Rank the value of the barcodes within this store. and output a spreadsheet of store|barcode|number of transactions|description|sum of value|sum of units|Rank within store.

My project is pretty open-ended, I need to find a dataset, clean it, and perform an analysis on it. I am thinking of doing a linear regression, k-means clustering algorithm, and possibly a logistic regression for classification. If you have experience with these things with Python that would be perfect. My request: A Jupyter notebook that processes the dataset I choose and implements an analysis to address the questions I am asking.

You should clean the data, remove outliers and then run the algorithms you have learned on the data. For numeric attributes, you can calculate min, max, average, standard deviation, and covariance/correlation. If the attributes are nominal, then you can calculate the frequency of each label. If the attributes...deviation, and covariance/correlation. If the attributes are nominal, then you can calculate the frequency of each label. If the attributes are of mixed (numeric and nominal) type, then you can convert numeric to nominal using filters or using some other meaningful translations (for example, convert numbers to ranges like “low”, “medium”, and “high”). You can then apply different methods for classification, clustering, outlier detection, da...

An exciting opportunity for the right person to help an investment firm map out the market in one of our investment themes. This job will involve working through a list of companies/URLs (provided by us), pulling together a brief description of their activities based off their website and tagging each according to our classification system Support will be provided by the team to help you understand our classification system so companies can be correctly tagged, as well as assisting with companies which are difficult to categorise. This work will be instrumental in helping us identify potential companies we could invest in We are ideally looking for someone who: • Has strong attention to detail • Is comfortable working independently (but can seek help/guidance when...

I need to have the Hazardous Area Ex e calculations performed for 3 junction boxes in accordance with AS60079. Price can be negotiated and confirmed when I get all the information and can pass this on. Can you please confirm if you are capable, and a budget estimate of the cost to perform the calculations. The project will need to be undertaken by someone who is certified in...need to have the Hazardous Area Ex e calculations performed for 3 junction boxes in accordance with AS60079. Price can be negotiated and confirmed when I get all the information and can pass this on. Can you please confirm if you are capable, and a budget estimate of the cost to perform the calculations. The project will need to be undertaken by someone who is certified in Hazardous Area Classification a...

Hi I want someone, who knows machine learning theory and can describe, this paper:"Convexity, Classification, and Risk Bounds" , link ~wainwrig/stat241b/bartlettetal.pdf.

I need someone proefficient in Computer Vision and new Deep Learning algorithms for predicting a multi-class (5) image classification of some images.

1. Explain how you can classify the fashion MNIST dataset using LSTM RNNs. You need to draw the LSTM RNN architecture (pref unrolled) and comment on all dimensions that you decide. The data set can be found ...in the previous question using TF or PyTortch. Implement the equivalent CNN using the same framework (CNN solution is in your notes so just include this solution). 3. Compare the performance of the LSTM RNN network vs CNN. Compare the training times between RNN and CNN that achieves the same test performance. 4. Read this paper and write a summary on how RNN and CNNs can be combined for the classification task and why you believe we get a performance benefit from such combination. Paper:

Develop a machine learning classifier for sentiment analysis. Based on the dataset , write a python program to implement a sentiment classifier and evaluate its performance. Notice:80% data for training and 20% data for testing. (1) Features used for sentiment classification and explain why you select these features. (2) Select two of the supervised learning algorithm from scikit-learn library: , to build a sentiment classifier respectively. (3) Compare the performance over accuracy, precision, recall, and F1 score for the two algorithms you selected. Here is the reference of how to calculate these metrics: I need all the above details

The project aims to build an optimized CNN model with firefly algorithm to detect and classify a type of disease in plants

Hi I am looking for a professional content writer who can prepare a document on the comparitive analysis of machine learnig classification models.

I have done a project on prediction. I have a working classification code for which I want a User Interface. The user must input 24 details and in the backend, My classification code should take and input and predict yes or no. so just 2 pages. main page and result page. Python Flask is the tool to be used. Time line less than one day and it isn't very. No fancy interface is required. very basic and simple.

...best; I have numerous methods that I want to apply to conduct my analysis. The analysis required experts aware of using Machine learning and deep learning methods to achieve the project objectives. The Project needs to be done fast and in high quality. I need to develop spatiotemporal models that can get implemented for how the effective disease is going to spread over time and space "not classification". it can be done based on the number of affected people each week, month and year. The required models are RNN, CNN, LSTM, TCN (Temporal Convolutional Network), GRU and a combination of this algorithm and cellular automata. in short: Through this project, - We want to know how many people are expected to be affected next week, next month, and next year. - What is the l...

...YouTube or Facebook, connect to a direct broadcast hosting, such as a Vimeo. A large number of videos can be classified and managed, classified packages, and classified ordering. There are corresponding members who cannot watch videos of different types divided into different levels. B. E-School website can be customized registration, learning and customer classification management functions, Standard function: course has classification, course introduction, individual registration function, group registration function, and course selection function when registering and after registering. There are student registration records, member types, course selection records, and payment records in the background member's progress record of doing homework; Email promotion to ...

Hyperspectral Image Classification Using DenseNet

I need reprogramming for an article on deep learning and modifying fuzzy logic : involves the process of modifying the polling layer into a fuzzy layer as described in the article: "Fuzzy based Pooling in Convolutional Neural Network for Image Classification". The programming process must be done in Python

Task 1 :Develop a vertical search engine similar to Google Scholar, but specialised to retrieve only papers/books published by a member of the Faculty of Engineering, Environment & Computing Task 2 : Develop a text classification system. The input is a text and the output is its subject among zero or more of the classes: Sport, Science, and Health. You are free to use any available resource to prepare your training datasets. For example, you may use existing sport websites and manually copy relevant texts there (whose label will be ‘Sport’). You may also write an RSS feed reader to do a similar task automatically, or prepare your data in any other way you wish.

Hi, we are an italian based independent software vendor. We provide our software through licenses to install on premises and also as cloud service (SaaS). We are now asked from a US distributor to classify our software as per the US Export and Admin Regulations (EAR). We need to better understand if we fall into EAR and which ECCN applies to us. Thanks Christian

Create a deep learning model for Alzheimer Disease detection or classification. MTech CSE project

...You have good typing skills. Previous experience is a plus, but not mandatory. - You are available for the duration of the project. In return, we offer: • Flexible schedule: you will decide how and when you complete the hours. • Work as much as you want. • You will get experience working for a high-end client. • You will get compensated with points, which will go towards your badge classification. The more you work, with good results, the more points you will get! Project compensation: We pay per hit (could be a phrase or line) If interested, please create a profile in OneForma using this link: Once done, simply go to MY JOBS > Transcription and look for Pronunciation Annotation (English AU). Kindly complete the required certifications and th...

I've finished on text classification. It works predicting the diseases name and plant name based on the user's disease description. You just create an API for this function.

Need a jupyter-python notebook that is able to pre-process a dataset, plot relevant maps if needed to help visualise data and then run training and testing on a few different machine learning algorithm. Will not be difficult at all i am just struggling on finding a good dataset to work on. If more information is needed please direct message me

... In this repo there is a python file called . Wİth this file you can basically train a K-nn with dino features without any change. There is a variable called “distance” that is the main variable for entire k-nn (think like a loss function). We will use the same distance metric for creating a hierarchy. There is a paper called “Hierarchical Image Classification using Entailment Cone Embeddings” and they are using ETHEC dataset during their work. Paper Link : Dataset Link : In this paper they are used some different hierarchy methods for CNNs that are PLC, M-PLC and etc.(4 different approach)