distributed architectures part

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1. 1▶What is Machine Learning - Bernhard Schölkopf - MLSS 2017Machine Learning Summer School 2017 TübingenNotes
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2. 2▶Learning Digital Humans by Capturing Real Ones - Michael Black - MLSS 2017Machine Learning Summer School 2017 TübingenNotes
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3. 3▶Implicit Generative Models - Ilya Tolstikhin - MLSS 2017Machine Learning Summer School 2017 TübingenNotes
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4. 4▶Reinforcement Learning - Jan Peters - MLSS 2017Machine Learning Summer School 2017 TübingenNotes
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5. 5▶Marrying Graphical Models & Deep Learning - Max Welling - MLSS 2017Machine Learning Summer School 2017 TübingenNotes
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6. 6▶Robot Learning - Stefan Schaal - MLSS 2017Machine Learning Summer School 2017 TübingenNotes
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7. 7▶Distributed Architectures Part 1 - Michael Jordan - MLSS 2017Machine Learning Summer School 2017 TübingenNotes
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8. 8▶Distributed Architectures Part 2 - Michael Jordan - MLSS 2017Machine Learning Summer School 2017 TübingenNotes
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9. 9▶Distributed Architectures Part 3 - Michael Jordan - MLSS 2017Machine Learning Summer School 2017 TübingenNotes
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10. 10▶Kernel Methods Part 2 - Bharath Sriperumbudur - MLSS 2017Machine Learning Summer School 2017 TübingenNotes
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