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ML BERLIN HYBRID CONFERENCE: Learn more about on-site or online attendance here

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ML BERLIN HYBRID CONFERENCE: Learn more about on-site or online attendance here

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ML SINGAPORE ONLINE CONFERENCE: Learn more about online attendance here

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ML BERLIN HYBRID CONFERENCE: Learn more about on-site or online attendance here

Training Days


Various advanced hands-on workshops led by well know experts for those who want to take their machine learning journey to the next level

December 1 – December 2, 2022 | Berlin or Online

What’s a Training Day at MLCON Berlin like?

MLCON Workshops keep their promise – namely a lot of practice! Deep Learning, Tensor Flow, Python, or Google Actions, all trainings are motivated to apply and develop new ideas in just one day and to get feedback and support directly from an expert. The principle is to bring people from different industries together, to promote their creativity and to work out ideas and concepts together. “Practical application” is the motto here.

Thus the trainings are the ideal complement to the MLCON sessions and keynotes.

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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 2

Dr. Neda Navidi, ETS
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Workshop: Using Polars For Data Analytics

Wei-Meng Lee, Developer Learning Solutions
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Workshop: Advancements in NLP

Leonardo De Marchi, idea.io
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Workshop: Machine Learning 101++ Using Python

Dr. Pieter Buteneers, Sinch
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Conversation Workshop: Conversation Design 101

Maaike Coppens, OpenDialog.ai
Tom Hewitson, Conversation Designer
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Intro to Data Science with Python Workshop

Grishma Jena, IBM
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ML Strategy Day

Christoph Henkelmann, DIVISIO GmbH
Alex Honchar, Neurons Lab
Arif Wider, Thoughtworks Deutschland / HTW Berlin
Christoph Windheuser, Databricks
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Workshop: Advancements in Natural Language Processing (NLP)

Leonardo De Marchi, idea.io
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Workshop: Image Recognition with TensorFlow

Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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Essential Workshop to Exploratory Data Analysis and Feature Engineering

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Feature Engineering and feature Selection Part 1

Dr. Pieter Buteneers, Sinch
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Graph-Powered Machine Learning Workshop

Dr. Jörg Schad, ArangoDB
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Deep Learning in Image and Video Applications Part 1

Dr. Majid Baa Wafaa, RecomAI
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AI, Machine Learning & Data Science Essentials in Python Part 1

Dr. Neda Navidi, ETS
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Data Science From Research to Production With Jupyter, Kubeflow & Nuclio

Or Zilberman, Iguazio
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Curating Quality Datasets for Machine Learning

Jigyasa Grover, Twitter, Inc.
Rishabh Misra, Twitter, Inc.
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Machine Learning 101++ Using Python Workshop

Dr. Pieter Buteneers, Sinch
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop

Dr. Neda Navidi, ETS
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Deep Learning in Image and Video Applications Part 2

Dr. Majid Baa Wafaa, RecomAI
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Feature Engineering and feature Selection Workshop Part 2

Dr. Pieter Buteneers, Sinch
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AI, Machine Learning & Data Science Essentials in Python Part 2

Dr. Neda Navidi, ETS
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Lightning fast data analysis with pure numpy

Vadim Markovtsev, source{d}
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How to turn large amounts of text into insights with machine learning

Dr. Christian Winkler, datanizing GmbH
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Machine Learning 101++ Using Python Part 2

Dr. Pieter Buteneers, Sinch
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Up and Running with Kubernetes: Part 1

Oz Tiram, tiram.it
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Making Machine Learning Models Attack-Proof with Adversarial Robustness

Serg Masis, Syngenta
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Graph Powered Machine Learning: Part 1

Dr. Jörg Schad, ArangoDB
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Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 1

Aleksandr Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Graph Powered Machine Learning: Part 2

Dr. Jörg Schad, ArangoDB
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Workshop: Conception and design of customer-centric IoT ecosystems

Prof. Wolfgang Henseler, SENSORY-MINDS GMBH
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Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 2

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Feature Engineering and Feature Selection Workshop Part 1

Dr. Pieter Buteneers, Sinch
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Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Image Recognition with OpenCV and TensorFlow Workshop

Tim Wüllner, OPEN KNOWLEDGE GmbH
Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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AI/Deep Learning in marketing and finance Applications Workshop Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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AI/Deep Learning in marketing and finance Applications Workshop Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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How to turn large amounts of text into insights with machine learning Workshop Part 1

Dr. Christian Winkler, datanizing GmbH
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How to turn large amounts of text into insights with machine learning Workshop Part 2

Dr. Christian Winkler, datanizing GmbH
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MLOps with MLFlow Workshop

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Saumya Goyal, Datamics GmbH
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Conversational Design Workshop: Build awesome Chatbots and Voice Assistants

Jeremy Wilken, Design for Voice
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Hands-on Workshop: Reinforcement Learning with TF-Agents & TensorFlow 2.0

Dr. Christian Hidber, bSquare AG
Oliver Zeigermann, OPEN KNOWLEDGE GmbH

Global Power Workshops

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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 2

Dr. Neda Navidi, ETS
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Workshop: Using Polars For Data Analytics

Wei-Meng Lee, Developer Learning Solutions
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Workshop: Advancements in NLP

Leonardo De Marchi, idea.io
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Workshop: Machine Learning 101++ Using Python

Dr. Pieter Buteneers, Sinch
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Conversation Workshop: Conversation Design 101

Maaike Coppens, OpenDialog.ai
Tom Hewitson, Conversation Designer
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Intro to Data Science with Python Workshop

Grishma Jena, IBM
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ML Strategy Day

Christoph Henkelmann, DIVISIO GmbH
Alex Honchar, Neurons Lab
Arif Wider, Thoughtworks Deutschland / HTW Berlin
Christoph Windheuser, Databricks
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Workshop: Advancements in Natural Language Processing (NLP)

Leonardo De Marchi, idea.io
Workshop Type Icon

Workshop: Image Recognition with TensorFlow

Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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Essential Workshop to Exploratory Data Analysis and Feature Engineering

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Feature Engineering and feature Selection Part 1

Dr. Pieter Buteneers, Sinch
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Graph-Powered Machine Learning Workshop

Dr. Jörg Schad, ArangoDB
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Deep Learning in Image and Video Applications Part 1

Dr. Majid Baa Wafaa, RecomAI
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AI, Machine Learning & Data Science Essentials in Python Part 1

Dr. Neda Navidi, ETS
Workshop Type Icon

Data Science From Research to Production With Jupyter, Kubeflow & Nuclio

Or Zilberman, Iguazio
Workshop Type Icon

Curating Quality Datasets for Machine Learning

Jigyasa Grover, Twitter, Inc.
Rishabh Misra, Twitter, Inc.
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Machine Learning 101++ Using Python Workshop

Dr. Pieter Buteneers, Sinch
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop

Dr. Neda Navidi, ETS
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Deep Learning in Image and Video Applications Part 2

Dr. Majid Baa Wafaa, RecomAI
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Feature Engineering and feature Selection Workshop Part 2

Dr. Pieter Buteneers, Sinch
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AI, Machine Learning & Data Science Essentials in Python Part 2

Dr. Neda Navidi, ETS
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Lightning fast data analysis with pure numpy

Vadim Markovtsev, source{d}
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How to turn large amounts of text into insights with machine learning

Dr. Christian Winkler, datanizing GmbH
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Machine Learning 101++ Using Python Part 2

Dr. Pieter Buteneers, Sinch
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Up and Running with Kubernetes: Part 1

Oz Tiram, tiram.it
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Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Making Machine Learning Models Attack-Proof with Adversarial Robustness

Serg Masis, Syngenta
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Graph Powered Machine Learning: Part 1

Dr. Jörg Schad, ArangoDB
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Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 1

Aleksandr Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Graph Powered Machine Learning: Part 2

Dr. Jörg Schad, ArangoDB
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Workshop: Conception and design of customer-centric IoT ecosystems

Prof. Wolfgang Henseler, SENSORY-MINDS GMBH
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Essential Workshop to Exploratory Data Analysis and Feature Engineering: Part 2

Alexander Mester, WaveAccess
Vladimir Rybakov, WaveAccess
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Feature Engineering and Feature Selection Workshop Part 1

Dr. Pieter Buteneers, Sinch
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Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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Image Recognition with OpenCV and TensorFlow Workshop

Tim Wüllner, OPEN KNOWLEDGE GmbH
Oliver Zeigermann, OPEN KNOWLEDGE GmbH
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AI/Deep Learning in marketing and finance Applications Workshop Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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AI/Deep Learning in marketing and finance Applications Workshop Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
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How to turn large amounts of text into insights with machine learning Workshop Part 1

Dr. Christian Winkler, datanizing GmbH
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How to turn large amounts of text into insights with machine learning Workshop Part 2

Dr. Christian Winkler, datanizing GmbH
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MLOps with MLFlow Workshop

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Saumya Goyal, Datamics GmbH
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Conversational Design Workshop: Build awesome Chatbots and Voice Assistants

Jeremy Wilken, Design for Voice
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Hands-on Workshop: Reinforcement Learning with TF-Agents & TensorFlow 2.0

Dr. Christian Hidber, bSquare AG
Oliver Zeigermann, OPEN KNOWLEDGE GmbH

Berlin Workshops 2022

Thu

01. Dec 2022
09:00 - 12:30
Salon 4 WS
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Feature Engineering and Feature Selection Workshop Part 1

Dr. Pieter Buteneers, Sinch
09:00 - 12:30
Salon 3 WS
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AI/Deep Learning in marketing and finance Applications Workshop Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
09:00 - 12:30
Salon 6 WS
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MLOps with MLFlow Workshop

Prof. Dr. René Brunner, Datamics / Professor an der Hochschule Macromedia
Saumya Goyal, Datamics GmbH
13:30 - 17:00
Salon 4 WS
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Feature Engineering and feature Selection Workshop Part 2

Dr. Pieter Buteneers, Sinch
13:30 - 17:00
Salon 6 WS
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Making Machine Learning Models Attack-Proof with Adversarial Robustness

Serg Masis, Syngenta
13:30 - 17:00
Salon 3 WS
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AI/Deep Learning in marketing and finance Applications Workshop Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS

Fri

02. Dec 2022
09:00 - 12:30
Dorothensaal WS
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Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 1

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS
09:00 - 12:30
Showroom WS
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Image Recognition with OpenCV and TensorFlow Workshop

Tim Wüllner, OPEN KNOWLEDGE GmbH
Oliver Zeigermann, OPEN KNOWLEDGE GmbH
13:30 - 17:00
Showroom WS
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Graph-Powered Machine Learning Workshop

Dr. Jörg Schad, ArangoDB
13:30 - 17:00
Dorothensaal WS
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Reinforcement learning and imitation learning using deep learning Workshop: Human and AI collaborations Part 2

Dr. Majid Baa Wafaa, RecomAI
Dr. Neda Navidi, ETS

Workshops Singapore 2022

Tue

22. Nov 2022
11:00 - 18:30
Workshop Stage 3 - SNG
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Workshop: Using Polars For Data Analytics

Wei-Meng Lee, Developer Learning Solutions
11:00 - 18:30
Workshop Stage 2
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Workshop: Machine Learning 101++ Using Python

Dr. Pieter Buteneers, Sinch

Workshops Munich 2022