27 Mar

AI & Machine Learning Training, Zürich

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This free, one-day training gives you insight into machine learning, its meaningful applications to your business (morning session) and an opportunity to gain practical experience from our experts (afternoon session).

  • Aim of the day Understand Machine Learning, find out how ML can be applied in meaningful ways to your business, and gain an understanding of Google Cloud tools at your disposal.
  • Audience This training is designed for professionals who want to understand the impact machine learning can have on their business and want to get more comfortable with the technology behind it. The day is split into a non-technical morning session (intro to ML, overview of different use cases, detailed case studies we have worked on), and a more more hands-on afternoon session (including training & deploying a Tensorflow pipeline) so both technical and non-technical audiences benefit from attending.
  • Prerequisites If possible, bring your laptop with you. Being comfortable with Python is helpful for the workshops, but not essential. If you feel that the workshops are less relevant to you, you are welcome to stay for the morning sessions only. Questions? Drop us an email at events@datatonic.com.
9.00 - 10.00
Introduction to Machine Learning
Overview of ML theory and context
10.00 - 11.00
Machine Learning Use Cases
Overview of different ML use cases
11.00 - 11.30
Case Study
Detailed case study
11.30 - 12.30
Workshop: Metadata Enrichment
Generate information from unstructured data
12.30 - 13.30
Lunch will be provided for you
13.30 - 14.15
Tools of the Trade
Exploration of libraries, frameworks, infrastructure and practical resources for ML
14.15 - 14.45
ML on Google Cloud Platform
Introduce GCP products for ML and other infrastructure required
14.45 - 16.15
Workshop: GCP
Train and deploy a complete Tensorflow pipeline
16.15 - 17.00
Recap and Q&A
Oliver Gindele
Head of Machine Learning
Martin Tengelin
MD Switzerland
Marc Tinguely
Data Scientist
Google Europallee, Europalle 36, Zürich, Switzerland
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