Neural Network Engineers для найма

  • Neural Networks
Предложения:
больше

Страны

Определенное местоположение

Экзамены

Почасовой тариф (USD)

Рейтинг

Онлайн

  • Нанять aki003iitr
    3.1
    1 отзыв $36 USD в час
    , Random Forest, GBM, KNN, SVM,Naive Bayes,050330a614Neurala12385cd44 050330a614Networksa12385cd44, Natural Language Processing, Image processing, Recommender Systems, - Web Scraping. Libraries in python known :Tensorflow, pandas, scikit learn,nltk, numpy matplotlib,scrapy, beautifulsoup,
    I am a data scientist with a degree in engineering . I have more than 4 years of professional experience in creating complex predictive and analytical models using advanced machine learning techniques Skill set: - Proficient in R, Python, SQL,Matlab ,VBA , R-shiny,Tableau - Statistical techniques: Predictive Modeling techniques such Linear, Logistic Regression,Time Series,Decision trees, Random Forest, GBM, KNN, SVM,Naive Bayes,Neural Networks, Natural Language Processing, Image processing, Recommender Systems, - Web Scraping. Libraries in python known :Tensorflow, pandas, scikit learn,nltk, numpy matplotlib,scrapy, beautifulsoup, меньше
  • Нанять vw2017655vw
    1.1
    1 отзыв $25 USD в час
    Machine learning engineer with fundamentals in machine learning algorithms (050330a614neurala12385cd44 050330a614networksa12385cd44, dimensionality reduction, feature utilization and extraction, and clustering), programming (Python, R
    Machine learning engineer with fundamentals in machine learning algorithms (neural networks, dimensionality reduction, feature utilization and extraction, and clustering), programming (Python, R, Java), statistics, mathematics, and computer vision. Backed with 15+ years of experience in development and implemenation of high loaded, complex systems and machine-learning concepts (3+ years). Working with data including data gathering, understanding it, cleaning, normalizing and extracting in a usable format.Skillset & Expertise: * Background in deep learning, machine learning, natural language processing * ML frameworks: Tensorflow, Keras, PyTorch * Python: Scikit-Learn, Pandas, Scipy, Numpy,Matplotlib, Seaborn, XGBoost, StatsModels * R: caret, ggplot, Ggally, gridExtra, data.table, dplyr, reshape, rmarkdown * Statistical Analysis: hypothesis testing, z-test, t-test, ANOVA, chi-squared test * Fintech knowledge (in progress) * Experience with Big Data environment * SQL * Data Mining меньше

, вот несколько offline фрилансеров

, вот несколько offline фрилансеров, соответствующих ""