SAP事業
機械学習・人工知能
医療系画像解析
SAP導入前の目的と導入後の実態とのGAPへの不満に対して、業務・SAPの利用実態・活用度合を調査・分析しSAPをより有効活用し情報の精度を高め業務運用の効率化を図ることにより経営に寄与するサービスを提供します。
Focused on manufacturing domain, we provide expert solutions.
Type of problems
- Regression, Classification, Clustering, Recommendations
- Image and Text Analytics
- Data Mining and Rule Extraction
- Constrained Optimizations and Information Retrieval
Models
- Statistical Models (Linear and Nonlinear model, decision trees, etc)
- Artificial Intelligence models(Feedforward neural networks, CNNs, RNNs)
- Ensemble Techniques (bagging and boosting, stacking, etc.)
Programming Languages and Tools
- Languages – Python, R, Shell scripting
- Machine Learning – RStudio, Caret package in R, Numpy, Scipy, Scikit-Learn, Sklearn, Pandas
- Deep Learning – Tensorflow, Theano, Keras
- Text Analytics – NLTK, Gensim
- Visualizations – D3JS, Plotly, ggplot2, Azure Power BI
- Math Softwares – Matlab and Octave
- Databases – MySql, MS SQL Server, PostgreSQL
- Cloud Services and APIs – Microsoft Azure, Google / Linkedin / Twitter / Facebook / Microsoft / IBM APIs
- Web Applications – Python-Flask, Python-CherryPy, Javascripts frameworks