1.
www.cubodrom.com CuboDrom
Mind the data…
CuboDrom
Machine Learning Studio

2.
Reasons & Goals
www.cubodrom.com
“There are more things in heaven and earth, Horatio,
Than are dreamt of in your philosophy”
Hamlet Act 1, scene 5
Reasons:
• discover hidden relations
• build accurate forecast
• get deep data insights
• analyze markets and trends
• social media analysis & text mining
Goals:
• solve complex business problems
• establish right decision
• select the right way of further development
• choose the proper strategy
CuboDrom

3.
How it works
www.cubodrom.com
1. Get source data
2. Define the scope of analyses
3. Select proper algorithms
4. Train/customize the model
5. Evaluate the results
6. Deploy the model as a service
7. Use ML everyday ;)
CuboDrom

4.
Functional Details
www.cubodrom.com
Train the model:
• get train data from source
• extract the features
• design features transformation steps
• train the model
Test the model:
• prepare test data
• run the features extraction pipeline
• run the trained model
• evaluate the results
CuboDrom
Use the model:
• develop data-service
• deploy data-service to cloud
• integrate process with client services

5.
Technics and Solutions
www.cubodrom.com
ML algorithms:
• Classification
• Regression
• Decision trees, random forests,...
• Recommendation
• Clustering
• Frequent itemsets, association rules,
and sequential pattern mining
ML workflow utilities:
• Feature transformations
• ML Pipeline construction
• Model evaluation
• ML persistence
CuboDrom
AWS
Azure

6.
Case Studies
www.cubodrom.com
Business cases:
• Spam Detection
• Credit Card Fraud Detection
• Digit Recognition
• Speech Understanding
• Face Detection
• Product Recommendation
• Medical Diagnosis
• Stock Trading
• Customer Segmentation
• Shape Detection
CuboDrom
ML archetypes:
• Classification
• Regression
• Clustering
• Rule Extraction

7.
Contacts
www.cubodrom.com
Address:
65000 Odessa, Ukraine
Botanicheskiy Ln, office 34
Phone: +380677640202; +38661376845
Email: ceo@cubodrom.com
CuboDrom