Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Practicing data science: A collection of case studies

Rosaria Silipo (KNIME)
14:0514:45 Thursday, 2 May 2019
Case studies, Strata Business Summit
Location: Capital Suite 12
Average rating: ****.
(4.40, 10 ratings)

Who is this presentation for?

  • Managers, data scientists, and data engineers

Level

Beginner

What you'll learn

  • Understand the kind of results you can expect to achieve from a data science project
  • Learn techniques to deal with special problems in both business and data

Description

There are many declinations of data science projects: with or without labeled data; stopping at data wrangling or involving machine learning algorithms; predicting classes or predicting numbers; with unevenly distributed classes, with binary classes, or even with no examples of one of the classes; with structured data and with unstructured data; using past samples or just remaining in the present; with real-time or close-to-real-time execution requirements and with acceptably slower performances; showing the results in shiny reports or hiding the nitty and gritty behind a REST service; and, last but not least, with large budgets or no budget at all.

Rosaria Silipo shares a collection of past data science projects. While the structure is often similar—data collection, data transformation, model training, deployment—each required its own special trick, whether a change in perspective or a particular technique to deal with special case and special business questions. You’ll learn about demand prediction in energy, anomaly detection in IoT, risk assessment in finance, the most common applications in customer intelligence, social media analysis, topic detection, sentiment analysis, fraud detection, bots, recommendation engines, and more. Join in to learn what’s possible in data science.

Photo of Rosaria Silipo

Rosaria Silipo

KNIME

Rosaria Silipo is a principal data scientist at KNIME. She loved data before it was big and learning before it was deep. She’s spent 25+ years in applied AI, predictive analytics, and machine learning at Siemens, Viseca, Nuance Communications, and private consulting. Rosaria shares her practical experience in a broad range of industries and deployments, including IoT, customer intelligence, financial services, and cybersecurity, and through her 50+ technical publications, including her recent ebook, Practicing Data Science: A Collection of Case Studies. Follow her on Twitter, LinkedIn, and the KNIME blog.