KNIME Data Science Learnathon: From Raw Data To Deployment - Paris - November 2018
0 likes240 views
The document provides an overview of the KNIME analytics process, including data preparation, model training, optimization, and deployment. It discusses various phases such as data exploration and addresses challenges related to big data and model deployment. Additionally, it mentions upcoming events and resources for further learning and engagement with the KNIME community.
KNIME Data Science Learnathon: From Raw Data To Deployment - Paris - November 2018
- 1. © 2018 KNIME AG. All Right Reserved. From Raw Data to Deployment KNIMEr: rosaria.silipo@knime.com KNIMEr: maarit.widmann@knime.com KNIMEr: jerome.treboux@hevs.ch @KNIME
- 2. © 2018 KNIME AG. All Rights Reserved. Do you recognize this? 2 https://en.wikipedia.org/wiki/Cross_Industry_Standard_Process_for_Data_Mining
- 3. © 2018 KNIME AG. All Rights Reserved. Let’s unroll it! It always starts with some data … 3 Data Preparation Model Training Model Optimization Deployment Data Manipulation Data Blending Missing Values Handling Feature Generation Dimensionality Reduction Feature Selection Outlier Removal Normalization Partitioning … Model Training Bag of Models Model Selection Ensemble Models Own Ensemble Model External Models Import Existing Models Model Factory … Parameter Tuning Parameter Optimization Regularization Model Size No. Iterations … Performance Measures Accuracy ROC Curve Cross-Validation … Files & DBs Dashboards REST API SQL Code Export Reporting … Model Evaluation
- 4. © 2018 KNIME AG. All Rights Reserved. The many Lives of a Dataset 4 Data Preparation Model Training Model Optimization Model Evaluation Deployment Partitioning: • Training Set • Validation Set • Test Set Training Set Validation Set Test Set New Data from Real World Applications Original Data Set with Past Observations
- 5. © 2018 KNIME AG. All Rights Reserved. Data Exploration • Sometimes in between Data Access and Data Preparation there is a Data Exploration phase • The Data Exploration phase is useful to get to know the data • KNIME offers a few visualization nodes to build dashboards to explore the data 5
- 6. © 2018 KNIME AG. All Rights Reserved. What about Big Data? • Big Data serves Scalability • The whole Analytics Process is no different on Big Data • You need: – a Big Data Platform – The KNIME Big Data (Spark & Hive) Extension 6
- 7. © 2018 KNIME AG. All Rights Reserved. One Example for Every Need The KNIME EXAMPLES Server 7 50_Applications
- 8. © 2018 KNIME AG. All Rights Reserved. Classification Problem & Data Set • Airline Dataset: http://stat-computing.org/dataexpo/2009/the-data.html • Smaller dataset (Jan 2007) (AirlineDataset.table) • Challenge: Predict Departure Delays If on original airline dataset, only flights from airport ORD Output Class = “delay” if depdelay > 15min otherwise “no delay” Available features: date, dep time, arr time, carrier, destination, cancelled, … 8
- 9. © 2018 KNIME AG. All Rights Reserved. Challenges • Group 1. Data Access and Data Preparation • Group 2. ML Model Training • Group 3. Model Deployment • Import file Learnathon_2018.knar into your workspace 9
- 10. © 2018 KNIME AG. All Rights Reserved. Group 1. Data Access and Data Preparation 10
- 11. © 2018 KNIME AG. All Rights Reserved. Group 2. Model Training & Optimization 11
- 12. © 2018 KNIME AG. All Rights Reserved. Group 3. Deployment 12 • Deployment Options – Multiple challenges: – Workflow deployment to KNIME Server – Remote/Scheduled execution from KNIME Server – KNIME RESTful Web Services – Build a Composite Interactive Dashboard and make it available on KNIME Web Portal – Generate a report with BIRT – Write Prediction Results to a Database
- 13. © 2018 KNIME AG. All Rights Reserved. KNIME Spring Summit 2019 March 18 – 22 at bcc Berlin Congress Center, Berlin • Monday & Tuesday: One-day courses • Wednesday & Thursday: Summit sessions • Friday: Workshops Use the code LEARNATHON for 10% off tickets! Register at knime.com/spring-summit2019
- 14. © 2018 KNIME AG. All Rights Reserved. KNIME Beginner’s Luck Free Copy of KNIME Beginner’s Luck Book from KNIME Press https://www.knime.com/knimepress with this code: PARIS-1118 15
- 15. © 2018 KNIME AG. All Rights Reserved. You can find KNIMers here! 16 • KNIME (www.knime.com) • BLOG for news, tips and tricks(www.knime.com/blog) • FORUM for questions and answers (tech.knime.com/forum) • EXAMPLE SERVER for example workflows • LEARNING HUB (www.knime.com/learning-hub) • KNIME TV channel on • KNIME on @KNIME • KNIME on https://www.facebook.com/KNIMEanalytics • On
- 16. © 2018 KNIME AG. All Rights Reserved. 17 The KNIME® trademark and logo and OPEN FOR INNOVATION® trademark are used by KNIME.com AG under license from KNIME GmbH, and are registered in the United States. KNIME® is also registered in Germany. Thank You!