€329.30 – €1,200.65

Beyond Machine's Deep Learning Bootcamp: Computer Vision/Time Series Foreca...

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Location

Berliner Medizinhistorisches Museum der Charite

Charitéplatz 1

10117 Berlin

Germany

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Refund Policy

Refund Policy

Refunds up to 30 days before event

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Event description

Description

Beyond Machine welcomes you to Berlin's best Deep Learning and Machine Learning Bootcamp: a whole day, jam-packed with mid to high-level workshops on the hottest practices in data science.



Masterclass 1: Advanced Time Series Forecasting with LSTM DeepLearning Neural Networks.

Instructed by Romeo Kienzler, Chief Data Scientist at IBM

Use state-of-the-art DeepLearning libraries and LSTM to predict future data from the past based on crypto-currency stock exchange data

  • Understand how deep learning LSTM auto encoders work;

  • Understand how to use a parallel linear algebra framework like Apache SystemML in order to build neural networks on top of Apache Spark;

  • Understand how to deploy such a system on the Cloud using IBM Bluemix, IBM Watson IoT Platform and IBM Data Science Experience.

This is an intermediate to advanced session. You need to have some programming skills. Linear Algebra fundamentals is a plus. Knowledge of the Apache Spark Dataframe API is also a plus.

Romeo Kienzler works as Chief Data Scientist in the IBM Watson IoT World Wide team helping clients to apply advanced machine learning at scale on their IoT sensor data. His current research focus is on scalable machine learning on Apache Spark. He is a contributor to various open source projects and works as associate professor of artificial intelligence at a Swiss university. Romeo Kienzler is a member of the IBM Technical Expert Council and the IBM Academy of Technology - IBM’s leading brain trusts. #ibmaot



Masterclass 2: Computer Vision - The state of art methods of Image Segmentation, the obstacle and applied cases,

Instructed by Jan-Matthis Lueckmann

  • Provide an overview of recent approaches to dense image segmentation

  • Hands-on exercises to implement a segmentation network in TensorFlow

  • Solve a segmentation task and discuss practical considerations



Masterclass 3: Coming up...




Who should attend?

  • Developer, who wants to know more about algorithm or even think about switching to be data scientis

  • Data scientist, who wants to improve or learn more projects outside of work?

  • Data analyst, analyze data cannot satisfy you anymore, you want to learn how to write a magical algorithm?

  • Tech team lead or data team lead wants to know better about data science and machine learning

  • Others, who want to start your own startup with machine learning technology?


It will not be boring

Our location will be one of the oldest lecture room (Hörsaal) before second world war in Berlin, however, it was destroyed after second world war, but now it is Berlin Museum of Medical History at the Charité. It maintains just like after the war. To learn the most advanced technology in the world in the historical place, we guarantee you it is fun.



Agenda


FAQs


Are there ID or minimum age requirements to enter the event?

ID and your business card

What are my transportation/parking options for getting to and from the event?

Better use public transportation, it is just next to the Hauptbahnhof

What can I bring to the event?

Laptop, charger, determination, and your brain

(We will take care the rest)


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Date and Time

Location

Berliner Medizinhistorisches Museum der Charite

Charitéplatz 1

10117 Berlin

Germany

View Map

Refund Policy

Refunds up to 30 days before event

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