€280.51

Machine Learning Bootcamp(Computer Vision, Deep Learning, NLP)- Presented B...

Event Information

Share this event

Date and Time

Location

Location

Berliner Medizinhistorisches Museum der Charite

Charitéplatz 1 10117 Berlin

Berlin

Germany

View Map

Refund Policy

Refund Policy

Refunds up to 30 days before event

Friends Who Are Going
Event description

Description

Our Deep Learning workshop was fully booked at our open air AI summit, we think it is time to launch Machine Learning Bootcamp in winter at one of the most historical museums in Berlin in order to connect and assist more data workers to step in or step up in the field of machine learning and A.I.

M.I.E team up again with IBM to deliver a unique full-day Machine Learning Bootcamp filled with workshops, training, and masterclasses. We know being data scientist is one of the sexiest jobs in the 21 Century.


Topics of workshops:

1. Learn how to use TensorFlow like a Pro

2. Masterclass: 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 an LSTM to predict future data from the past based on crypto-currency stock exchange data

By the end of the course, you will be able to:
- 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.

3. Masterclass: Computer Vision: The state of art method of Image segmentation, the obstacle and applied cases, instructed by Jan-Matthis Lueckmann


What you’ll learn?

  • How to use Python and machine learning in order to predict stock market as well as the sports game?

  • Design and code a machine learning pipeline in Python for prediction?

  • Build and use a web crawler in Python to extract the data from online sources

  • Provide an overview of recent approaches to dense image segmentation

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

Who should attend?

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

  • 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


09.00-11.00 Workshop : Tensorflow

11.00-13.00 Masterclass : Advanced Time Series Forecasting with LSTM DeepLearning Neural Networks

13.00-13.30 Lunch

13.30-15.30 Masterclass : Computer Vision: Image Segmentation

15.30-16.00 Break/Networking

16.00-18.00 Masterclass


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 main station

What can I bring into the event?

Laptop, charger, determination, and your brain

(We will take care the rest)

Share with friends

Date and Time

Location

Berliner Medizinhistorisches Museum der Charite

Charitéplatz 1 10117 Berlin

Berlin

Germany

View Map

Refund Policy

Refunds up to 30 days before event

Save This Event

Event Saved