Intersystems ensemble jobs

...of projects are: -Good understanding of feature engineering -Good python skills e.g knowledge of parallel programming in python (I would not expect you to write on numba if its not required, ideally you will have the capacity to use all the available cores and RAM for tasks that can be parallelised using the multiprocessing library or similar) -Good understanding of classical ML algorithms and ensemble learning algorithms. Implementation must be on python -You are not obsessed with Deep Learning (in the first phase we avoid it) but when you can guarantee reproducible improvements you are welcome to extend the project and get paid extra for it -Good understanding of various unsupervised learning approaches -You have a broad experience with data-science projects. Not only model-bui...

Cahaba Chamber Chorale is a newly formed performing arts non-profit — we are in need of a logo. The Cahaba Chamber Chorale is a professional vocal ensemble located in central Alabama. A premiere professional vocal ensemble that will showcase the diverse, breadth of talent in our region — fostering the human spirit through education, advocacy, and performance of choral music, whilst singing together to build community. The ensemble is made of up of professional singers, vocalists, teachers, and professors from several states across the southeastern region. The original meaning of the word Cahaba, taken from the Choctaw (Cahawba), is “waters from above”. The Cahaba River flows through the highlands of central Alabama supporting one of our plane...

Job Description: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Job Requirements: BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. 3-5 Years of proven experience as a Data Scientist. Experience in DataRobot or any similar tool Experience in data mining Understanding of machine-learning and ...

Do for me: prediction performance of heterogenous ensembles (voting ensemble) of software bug prediction dataset that include 1- statistical analysis 2- feature selection

Hello For a short movie trailer i need a ethnic drum arrangement.... in the same quality of this program .....as well I can organise the software instrument.... as well if needed..... the trailer is a comic movie promotion for a ethnic mindset trip and for the ethnic sound it will need a track from around a minute...... please check the link and listen to this samples on the website and let me know if we can get to kind of this point..

A dance Ensemble based out of Chicago is looking for an excel expert who can manage a custom excel template to organize tickets. The requests for tickets come through an email and the person will be in charge of managing excel to keep track of people, seats, numbers, etc. The person should also be able to work with 2 other people once in awhile to update them on the status of the reservations for them to be able to assign exact seats. Person is to be able to work on this from now until October 1 and compensation is set for the entirety of that time.

Hello, I am a real estate broker and I need postcards to promote my services. I want something gold and white and I need you to include: -Title: “Marikim Laroche Courtière Immobilière Résidentiel“ -Slogan: “Pratiquer le courtage dans les règles de l'art“ -Text: “Ma mission: Vous conseillez selon vos besoins et protéger vos intérêts lors de ...“Ma mission: Vous conseillez selon vos besoins et protéger vos intérêts lors de transactions immobilières pour vous assurer une tranquillité d'esprit.“ “Mes valeurs: la sincérité, la transparence, l'altruisme, l'accessibilité, la collaboration, l'excellence, la fiabilité...

We have raw timber structures / Divan frames for ensemble beds that we need to put into cad drawings. We will need a quote for 6 sizes in 2 different styles (12 cad drawings total)

Looking for a booking agent for world music for flamenco guitarist and his ensemble that is currently working in some of Australia’s best theatres and festival.

Aims: Write a program (or programs) implementing various ensemble methods (such as bagging and boosting) together with some underlying algorithms. Background: Ensemble methods were one of the topics of the CS5100 course. Assignment 3 only scratched the surface of this important area, and this project will give the student a chance to delve deeper into this topic. Early Deliverables A proof-of-concept implementation of bagging, random forests, or boosting both in the case of regression and in the case of classification. Implementing underlying algorithms, such as decision stumps or decision trees; simple proof-of-concept implementations are sufficient. Final Deliverables A final program implementing bagging, random forests, or boosting (or all three) with a careful choice ...

I need some support with combining multiple models together on Vertex AI on Google Cloud Console. These can also be multiple models deployed to the same endpoint and acting as an ensemble model. Vertex AI specialist is required for this job.

Paco Lara is a genius flamenco guitarist ( one of the best from his generation of flamenco guitarists in Spain). Paco has since moved to Australia for family reasons but has successfully maintained his career at a top professional level playing his music at some the counties best venues, theatres and festivals and...and has definitely created himself a good audience following whom repeatedly attend his concerts at different locations. Paco has a good relationship with a lot venue managers, where he is programmed or scheduled to play each year or more frequently. At the end of the year Paco is launching his new álbum Duende and is needing to get someone on board soon to book in his gigs for 2023. The ensemble consists of second guitarist, piano, percussion, vocals and fl...

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Project on MATLAB Hi all, Here are some materials for project 3: :-bagging-versus-boosting (with illustration) Bagging is a parallel ensemble, while boosting is sequential. Bagging is achieved by random sampling with replacement from the original dataset. Sampling with replacement may repeat some observations in each new training data set. Every element in Bagging is equally probable for appearing in a new dataset. Boosting is a sequential ensemble method that iteratively adjusts the weight of observation as per the last classification. If an observation is incorrectly classified, it increases the weight of that observation.

Using some methods mentioned in the files. It is based on MATLAB here is some References: Hi all, Here are some materials for assignment 3: :-bagging-versus-boosting (with illustration) Bagging is a parallel ensemble, while boosting is sequential. Bagging is achieved by random sampling with replacement from the original dataset. Sampling with replacement may repeat some observations in each new training data set. Every element in Bagging is equally probable for appearing in a new dataset. Boosting is a sequential ensemble method that iteratively adjusts the weight of observation as per the last classification. If an observation is incorrectly classified, it increases the weight of that observation

I assigned students assignments that require them to use python to solve them. there are 4 assignments and 8 groups. Thus, there are 32 assignments that require gradings. the topics of these assignments are Regression, PCA, Ensemble Modeling, and A/B testing.

This project is a continuation of the kaggle completion whose description can be found here: ( whose description can be found here: (). There will be an attached GitHub repo that already uses pertained models for the competition task of predicting 3 possible trajectories for self driving cars. For this project I am looking for someone to work with the partial training set as provided and create a ensemble model combining the models Xception41 and Xception65 with ResNet using k means methods returning 3 hypothesized trajectory predictions for the car agents. GithubRepo:

You should be familiar with the following: -Team Theory -Expressive Design Workshop -Planning Software Development -Agile Anti-Patterns, PIA Clinic -Software Quality -Ensemble Programming -TDD In Theory -TDD In Practice -Software Engineering at Scale -Software Engineering at Scale Lab -Elements of OOP -Refactoring and Legacy Code -12-Factor Applications -Retrospectives -Introduction to DevOps -Systems Thinking -PIA Clinic 2 -Security Lab

Micro proyecto: Crear front con flask del siguiente codigo adjunto .py, Que me permita cargar los parametros de forma manual (28 campos) y recibir un resultado que diga si el cancer es maligno o no. Solo se debe utilizar el algoritmo: #Using RandomForestClassifier method of ensemble class to use Random Forest Classification algorithm from import RandomForestClassifier forest = RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 0) (X_train, Y_train) Ademas crear un primer pagina, que nos permita cargar otro dataset de deteccion de cancer pero con otros valores. Ejemplo: el desarrollo debe ser similar a este pero con el analisis de cancer

I want you to append the paper with the methods and architecture the you used. I want you to talk about the results. I want you to include the pictures and have a table to compare with other models that has done similar work like that ensemble model etc.

...member should contribute for 1/3rd of the load (or whatever your team size is) Cleanup, Explore the data Remove noise if any Check for outliers Normalize, feature scaling, binarize see what is necessary apply SVD or PCA or TSNE to visuzalize Decide which data mining algorithm is suitable? Possibly several Try a few algorithms you are free to use sklearn or whatever library you prefer Possibly ensemble techniques like random forest or adaboost work better Possibly a new method, or novel set of features for the same methods Experiments paramter tuning Learning rate, regurlarization parameter, dropout etc Depth and width of neural network Model specific parameters for CNNs and RNNS or any other type of neural network you are training For unsupervised techniques cluster size etc comp...

We are looking for an event & site manager for Longhope Opera, Newton Valence, Hampshire. Three opera performances take place 1/2/3 July, estimated 300 audience each day. Performances take place under a large marquee. The site is built from 24 June, with rehearsals in situ from 28 June. This event is produced by Scherzo Ensemble, a professional development charity for young artists. This post-holder will supervise all aspects of the set up, event operations, and pack-down. We need someone with technical knowledge to manage the generator and distribution. Time commitment is approximately 2 weeks.

...group in Atlanta, Georgia. I've attached a bunch of files for inspiration. We are looking for a fresh looking minimalistic logo, that's based on old artwork that I've provided, but looks similar in style to the logos that I've provided from other groups in Poland. DO: 1. Be original, use colors, and consider modern design 2. Incorporate the name of the dance group in the logo (Mazury Folk Dance Ensemble or Mazury) 3. Use the older artwork to create something new 4. Consider incorporating an element of a peach in there if it looks good and not forced. The peach is the symbol of the state of Georgia. If the peach makes it look weird, we can leave it out. DO NOT: 1. Use existing artwork of any other folk dance groups 2. Use stock art (This will get an automat...

Apply bagging to implement an ensemble learning approach using python

...defined, and appropriate machine learning algorithms are applied in the literature. Recently, deep learning methods are showing fruitful results on several natural language processing tasks. We want to use the potential benefits of these two types of methods for our problem. Toward this, we propose an ensemble approach for spam detection at tweet level. We develop various deep learning models based on convolutional neural networks (CNNs). Five CNNs and one feature-based model are used in the ensemble. Each CNN uses different word embeddings (Glove, Word2vec) to train the model. The feature-based model uses contentbased, user-based, and n-gram features. Our approach combines both deep learning and traditional feature-based models using a multilayer neural network which acts...

I'd like to use ensemble machine learning (including autoLM) to train and test dataset. The goal is to estimate a certain variable from satellite imagery so experience with implementing machine learning models on satellite imagery is critical. CSV files are available for training and testing dataset will be raster files. Get in touch if you have worked on such projects and are into remote sensing.

Need a coder who can run voting ensemble and metaheuuristics based feature selection on health insurance fraud detection dataset. The dataset is available in kaggle. Partial coding is done.

Need a coder who can run voting ensemble and metaheuuristics based feature selection on health insurance fraud detection dataset. The dataset is available in kaggle. Partial coding is done.

...categorization into different subject areas. For each paper, you are given an id, the title, and the abstract. Steps • Split your training data into train, validation, and test sections so that you can evaluate your model before testing it on • Data augmentation and regularization. • Cross-validation and hyperparameter tuning. – Learning rate decay. – Early stopping on the validation set. • Model ensemble. Datasets • : This file provides the training nodes (label, node id). • : This file provides the test nodes (node id,). • : This file provides the features, i.e. the paper title and abstract (paper id, title, abstract) • : This file provides the map from nodes to papers (node id, paperid). • : This file provides a sample...

i have trained the 3 transfer learning models and stored in h5. i need to implement stacking algorithm, voting, bagging, boosting algorithm.. i need to compare between the models. its an urgent task. can any one implement stacking alone first. i have uploaded my program file.

...implementing either front-end or back-end requirements, APIs and service architectures, ensuring performance and code quality through code reviews and automated tests and overall building creative solutions that offer customers real added value. Tech. stack: • Java 11, JEE, web services (REST or others) • JPA/Hibernate, Spring • Development tools: IntelliJ, Eclipse, Maven, Gradle, Docker • DB: SQL + InterSystems Caché for DB management Employee perks, benefits: • Long-term and stable work place, employment contract for an indefinite period • Familiarity of a small sized firm and security and possibilities of a large company • Comfortable and healthy work environment in a newly built, air-conditioned office space (5-7 workstations per ...

NRB is a non-profit organization for a pocket park in Richardson. This early June event will be an outdoor wine and cheese happy hour event for members of the NRB. We would like a jazz ensemble for background music. We have 2 duplex outlets for power.

Dataset - WESAD Transformation of 1d signal to 2d imade using wavelet scattering transform. Then an ensemble architecture using pretrained cnn were to be used for classification Coding required in python

Need help for 2 hours in an online live working session. I need help on Machine learning models of logistic regression, knn, naive Bayes, ensemble, boosting for a dataset using python. Will get the dataset in the 2 hour window. Timings tomorrow 2-4pm IST.(27th)

I'm looking for a truly one of a kind suit for my beach wedding next year: white linen, shorts and tie dye inspired. I'll also need a hat to complete the ensemble. I'm hoping to find someone who can help me make the image in my head a reality!

Python coding for NLP binary classification task. Knowledge in BERT-based models and Ensemble Learning is required.

CP Manor Tool : Sketchup, with plugin for rendering Goal : give a SketchUp model of the ensemble of buildings in their environment with some rendering for external aspect and limited internal details (only partition walls with communications between rooms and staircase, no detail nor rendering at this stage). Material provided to you: • This sheet of guidance • full drawings of external and internal buildings shapes and details • pictures as references for various buildings To be provided later : • decorative details for wood works for balcony, columns linking beams etc. • colors for external rendering Environment : slope rural terrain. slope indicated in mail plan through altitude level from base Building included : all in in Main plan as attached ...

I need a batch of documents to be proofread. The 1st batch has in total 1615 words. Je voudrais avoir une relecture d'un ensemble de documents en Español. Le premier lot renferme 1615 mots.

Using any non-confidential/publicly available data set, develop a data science project using R or Python, embedded into a BI Tool of choices like Tableau, Power BI, or Excel. The project must use data modelling concepts, measures and dimensions to show trends in the d...non-confidential/publicly available data set, develop a data science project using R or Python, embedded into a BI Tool of choices like Tableau, Power BI, or Excel. The project must use data modelling concepts, measures and dimensions to show trends in the data set. Moreover, using R or Python implement use of - Customer Segmentation: Cluster Analysis Machine Learning Basics Machine Learning: Ensemble Methods Machine Learning: Hyperparameter Tuning Machine Learning: Regression Problem Deep Learning Time Series F...

I'm trying to create an ensemble deep learning model to detect IoT malware using python, TensorFlow, NumPy, and pandas

I need help creating generic market mix models for digital and non-digital tactics, create ensemble models where there are co-dependencies between tactics. I would like to create a mixed model with time varying dimension.

I'm looking for a quartet (or small vocal ensemble) to record this SATB (soprano, alto, tenor, bass) composition along with piano accompaniment. I have provided sheet music and an audio demo track that has synth piano and synth vocals. I will want you to send back a high-quality, professional-quality audio file of the piece performed by an SATB quartet or SATB ensemble, along with piano accompaniment.

Hey! There, I am pursuing MTech and as part of the academic curriculum, I have to publish a research paper in Scopus Indexed Journal. So the Problem is like my guide suggested writing a paper on Data Augmentation in NLP where we can use an ensemble approach using 3 - 4 text data augmentation techniques and later using some similarity filter we can choose the best augmentation technique for the dataset, and also to use different types of datasets too, for comparison. I couldn't find how to start that's why I landed here and found it helpful in this. I've attached a Visual concept of that.

I'd like to build some models for prediction and rank them using relevant ensemble models. You will need to read and analyse Earth observation dataset to predict pixels values using training datasets.

quantile LINEAR regression by using python Deep neural networks packages do it for all main Deep NN packages , but do not use hidden layers LINEAR regression MEANS NO hidden layers (upper + lower ) / 2 performance should be not worse than YOU NEED TO EXTRACT coef_upper_ coef_lower_ FROM ML MODEL you baseline FOR PREDICTOIN you baseline FOR UPPER AND LOWER INTERVALS and of course hyperparameters search like optimizer adam , mrop and etc

Adoption of Genetic algorithms as meta classifier for stacking ensemble IDS

I need someone to write me Adaboost LSTM Ensemble algorithm with Python and run it on my dataframe which is attached. Finally, it will calculate Accuracy value of the algorithm.

do it for all main Deep NN packages , but do not use hidden layers LINEAR regression MEANS NO hidden layers keras for example point to start tensor flow pytorch then it should be 4 solutions, all of them should provide goo...features YOU NEED TO EXTRACT coef_upper_ coef_lower_ FROM ML MODEL you baseline FOR PREDICTOIN you baseline FOR UPPER AND LOWER INTERVALS and of course hyperparameters search like optimizer adam , mrop and etc

...discussion. Mon estimation est que chaque professionnel interrogé aura entre 5 à 10 posts (voir plus si la conversation à été productive) Processus: 1. Je fournis les transcripts, avec les thèmes de discussions dont nous avons parlés. 2. Vous lisez et regroupez les conseils/ Astuces ensemble afin de créer des posts cohérents qui parle du même sujet. (et réécoutez si besoin le passage de l'entretien pour mieux comprendre la discussion.) 3. Une fois le brouillon créé dans un google docs, nous validons ensemble l'approche 4. Vous réalisez la rédaction 5. Les posts seront partagés aux professionnels en question qui pourront commenter et modifier le...

I want to use ensemble leearning such as cubist model, random forest, xgboos, etc for prediction using training data from a csv file and testing data from satelite imagery