The premier machine learning conference

Predictive Analytics World
18.- 19. November 2019, Estrel Hotel Berlin

Der Workshop mit Dean Abbott wird auf ENGLISCH gehalten

Die Workshopplätze sind limitiert – sichern Sie sich Ihren Platz rechtzeitig!

Intended Audience:

• Practitioners: Data Analysts who would like a introduction to data science including dozens of principles to assist in building machine learning models.
• Technical Managers: Project leaders, and managers who are responsible for leading teams of data scientists and want to understand what data scientists do.

Knowledge Level: Familiarity with the basics of statistics.

Workshop Description:
Predictive Analytics for Practitioners

Predictive analytics has moved from a niche technology used in a few industries, to one of the most important technologies any data-driven business needs. Because of the demand, there has been rapid growth in university programs in machine learning and data science. These teach the science well, but do not describe the “art” of predictive analytics, which includes practical tradeoffs when data is imperfect.

This workshop will cover the practical considerations for using predictive analytics in your organization through the six stages in the predictive modeling process as summarized in CRISP-DM:

1. Business Understanding – how to define problems to solve using predictive analytics
2. Data Understanding – how to describe the data
3. Data Preparation – how and why to create derived variables and sample data
4. Modeling – the most important supervised and unsupervised modeling techniques
5. Evaluation – how to match modeling accuracy with business objectives to select the best model
6. Deployment – how to use models in production

Practical tips are given throughout the workshop including:

• Which transformations of data should be used for which algorithms?
• Which algorithms match what kinds of problems?
• How does one measure model accuracy in a way that makes sense for the business?
• How does one avoid being fooled with predictive models, thinking they are behaving well when in reality they are brittle and doomed to fail?

Case studies that illustrate principles will be used throughout the workshop, drawn from Mr. Abbott’s more than 30 years of practical experience solving problems in both the private sector and public sector. The techniques are software independent, but Mr. Abbott will demonstrate solutions using an open source software package.

Every registered attendee will receive a copy of Mr. Abbott’s book “Applied Predictive Analytics”

This workshop will benefit anyone who has worked with data­­—whether in spreadsheets, statistics programs, R, Python, or other software—and would like to learn the practical side of predictive analytics.

All attendees will receive a course materials workbook containing more than 200 slides and an official certificate of completion at the conclusion of the workshop.

Workshop Schedule:

• 09:00
  • Workshop program starts: Overview, Data Understanding
• 10:30 – 11:00
  • Morning Coffee Break
• 11:00 – 12:30
  • Data Preparation
• 12:30 – 13:30
  • Lunch
• 13:30 – 15:00
  • Classification Models and Model Evaluation
• 15:00 – 15:30
  • Afternoon Coffee Break
• 15:30 – 17:00
  • Regression Models; Model Deployment
• 17:00
  • End of the Workshop

Instructor:

Dean Abbott is Co-Founder and Chief Data Scientist at SmarterHQ. Mr. Abbott is an internationally recognized expert and innovator in data science and predictive analytics, with three decades of experience solving problems in customer analytics, fraud detection and tax fraud, risk modeling, text mining, survey analysis, and many more. He is frequently included in lists of the most pioneering and influential data scientists worldwide.

Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014, 2^nd Edition forthcoming in 2020) and co-author of The IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a popular keynote speaker and workshop instructor at conferences worldwide and serves on Advisory Boards for the UC/Irvine Predictive Analytics and UCSD Data Science Certificate programs.

He holds a B.S. in Computational Mathematics from Rensselaer Polytechnic Institute (1985) and a Master of Applied Mathematics from the University of Virginia (1987).

Der Workshop mit Jim Sterne wird auf ENGLISCH gehalten.

Die Workshopplätze sind limitiert – sichern Sie sich ihren Platz rechtzeitig!

From market research to direct mail metrics to web analytics to Big Data, the job of “marketing” has changed dramatically over time. We have arrived at a fundamental shift in marketing that is as impactful as the advent of the Internet: Artificial Intelligence and Machine Learning.

This workshop introduces marketing professionals of all ranks to the theory, the language and the practical application of these disruptive technologies.

This workshop will not teach you how to be a data scientist.

It will teach you enough about the language and implications to speak cogently with your colleagues, and determine where to apply this innovative technology first. You will also get a firm grasp on how these new tools will change your job and what you can do to remain relevant in tomorrow’s marketing department.

Key Takeaways

• How Machine Learning Works for Marketing
• What Machine Learning Cannot do for Marketing
• How to Onboard AI and ML into Your Organization

This workshop is for marketing professionals who are comfortable consuming analytics outputs, but must now face a new, educational learning curve.

This workshop is for data scientists to help them understand the problem the marketing department is trying to solve and the available data sets.

This workshop is for marketing managers who must respond to the C-level insistence that the marketing department “get with the times” (management by in-flight magazine).

This workshop is for those who need to survive in these changing times even though they are not data scientists, algorithm magicians, or predictive analytics statisticians.

Instructor

Jim Sterne, Founder, Marketing Analytics Summit

Jim Sterne has been in data processing since 1979, an online marketing consultant since 1993, and an online marketing analytics consultant since 2000. Sterne focuses on proving the value of digital communication as a medium for creating and strengthening customer relationships. He is the founding president of the Digital Analytics Association and producer of the eMetrics Summits. Sterne was named one of the 50 most influential people in digital marketing by the United Kingdom’s premier interactive marketing magazine and one of the top 25 Hot Speakers by the National Speakers Association, to which he credits his degree in Shakespeare. He has consulted to some of the world’s largest companies; lectured at MIT, Stanford, USC, Harvard, and Oxford; and sat on a plane to Las Vegas grading the CRM strategy plans of a Nigerian mobile phone company for a course he taught in Singapore produced by a training company in Shanghai. Sterne is the author of 15 books on online marketing and analytics including his latest, “Artificial Intelligence for Marketing: Practical Applications” (Wiley, August, 2017)