Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

In-Person Training
Machine learning with TensorFlow

Robert Schroll (The Data Incubator)
Monday, 22 May & Tuesday, 23 May, 9:00 - 17:00
Data science and advanced analytics
Location: Capital Suite 17
Secondary topics:  Deep learning
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Participants should plan to attend both days of this 2-day training course. Platinum and Training passes do not include access to tutorials on Tuesday.

Robert Schroll and Patrick Smith demonstrate TensorFlow's capabilities through its Python interface, walking you through building machine-learning algorithms piece by piece and using the higher-level abstractions provided by TensorFlow. You'll then use this knowledge to build machine-learning models on real-world data.

What you'll learn, and how you can apply it

  • Understand TensorFlow's capabilities

The TensorFlow library provides for the use of data flow graphs for numerical computations, with automatic parallelization across several CPUs or GPUs. This architecture makes it ideal for implementing neural networks and other machine-learning algorithms.

Robert Schroll and Patrick Smith demonstrate TensorFlow’s capabilities through its Python interface, walking you through building machine-learning algorithms piece by piece and using the higher-level abstractions provided by TensorFlow. You’ll then use this knowledge to build machine-learning models on real-world data.

About your instructor

Photo of Robert Schroll

Robert Schroll is a data scientist in residence at the Data Incubator. Previously, he held postdocs in Amherst, Massachusetts, and Santiago, Chile, where he realized that his favorite parts of his job were teaching and analyzing data. He made the switch to data science and has been at the Data Incubator since. Robert holds a PhD in physics from the University of Chicago.

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Comments

Picture of Robert Schroll
Robert Schroll | DATA SCIENTIST IN RESIDENCE
30/01/2017 17:30 GMT

Este presentacion estaran sobre Tensorflow, no Hadoop. Sin embargo, es possible para usar Tensorflow para trabajos de classification.

Ernesto Sabuquet Hurtado |
30/01/2017 15:55 GMT
Necesito algunas guias de como trabajar con Hadoop sobre todo con el entrenamiento para la detecion de Virus