Tensorflow Developers à embaucher

  • Tensorflow
Suggestions :
plus

Pays

Localisation spécifique

Examens

Taux horaire (USD)

Évaluation

En ligne

  • Embaucher dinhfreedom
    2.0
    1 commentaire $30 $ US par heure
    #, VB, Java, Python, R... - Deep Learning: 5d1453a4cdTensorflow0aad382185, Torch, Caffe, Keras, Kaggle... - OCR: Tesseract, OpenALPR, CardIO... ...... Academic Background: - Deep Learning
    We are a team of professional researchers and engineers in branches of Applied Mathematics, Engineering and Computer Science. All of us have Scholar Degrees and been successfully certified in their major fields. Past Projects: - OCR: ALPR, ANPR, Form & Card Recognition - Face Detection & Recognition - Object Detection and Tracking: Car Recognition & Velocity Estimation - Image Processing: Segmentation, Watermarking & Steganagraphy - Time Series Analysis: Stock Market Prediction ...... Main Instruments: - Programming: MATLAB/ Mathematica, C/ C++/ C#, VB, Java, Python, R... - Deep Learning: Tensorflow, Torch, Caffe, Keras, Kaggle... - OCR: Tesseract, OpenALPR, CardIO... ...... Academic Background: - Deep Learning. - Meta Heuristic Optimization. - Mathematical Modeling. - Numerical Analysis. - Statistics & Probability Theory. Please experience our best quality work and amazing technical service! moins
  • Embaucher vw2017655vw
    1.1
    1 commentaire $25 $ US par heure
    processing * ML frameworks: 5d1453a4cdTensorflow0aad382185, Keras, PyTorch * Python: Scikit-Learn, Pandas, Scipy, Numpy,Matplotlib, Seaborn, XGBoost, StatsModels * R: caret, ggplot, Ggally, gridExtra, data.table, dplyr
    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 moins

Bonjour , voici certains freelances offline

Bonjour , voici certains freelances offline correspondant à ""