Build your first Machine Learning model and get started with Data Science (hosted by IBM Developer Europe)

In this hands-on workshop we take a look behind the buzzwords: Machine Learning & Data Science.

Join us for the start of our new series: Learn Automation, Data & AI and develop your own app!
In this hands-on workshop we take a look behind the buzzwords: Machine Learning & Data Science

TICKETS

https://www.eventbrite.com/e/build-your-first-machine-learning-model-and-get-started-with-data-science-tickets-171208167237?aff=eand

DETAILS .

ūüéď What will you learn?

The difference between AI and ML

The different types of Machine Learning

How to structure Data Science projects

We will develop a Machine Learning model to predict customer churn with an AutoAI feature – to build Machine Learning models automatically – as well as Jupyter Notebooks. For this hands-on session we will be using the Cloud Pak for Data as a Service on the IBM Cloud.

ūüõ† What are the pre-reqs?
Register on Crowdcast: https://www.crowdcast.io/e/auto-data-ai/1 
Create a IBM Cloud account via the following link: https://ibm.biz/Bdfppm

ūü§Ė¬†Learn Automation, Data & AI and develop your own app!
Interested in Machine Learning and Data Science? Discover automation like you’ve never seen it before: in customer service, the AI lifecycle, document processing and classification, application monitoring for cloud-native applications, and Robotic Process Automation! Register for free and get ready to learn about all these amazing technologies with live-demos in this series of virtual events. Get hands-on and build your own app afterwards.

ūüĎ欆What’s the benefit for you?
In the last session of this event series you will have the opportunity to bring your own use case / problem / data / application / processes / documents / … and pitch it in 10 – 15 minutes to our IBM technical staff. They will give you feedback, provide technical support, and perhaps even become part of your project!

ūüéô Speakers
– Felix Augenstein, Data Scientist, IBM

The event is finished.

Date

Oct 19 2021
Expired!

Time

10:00 am - 11:30 am

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