Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

In-Person Training
Machine learning with TensorFlow

Robert Schroll (The Data Incubator)
Monday, March 5 & Tuesday, March 6, 9:00am - 5:00pm
Data science and machine learning
 Location: San Jose Ballroom (salon 1&2), Marriott

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.

The TensorFlow library enables the use of data flow graphs for numerical computations, with automatic parallelization across several CPUs or GPUs, making it ideal for implementing neural networks and other machine learning algorithms. Robert Schroll demonstrates TensorFlow's capabilities and walks you through building machine learning models on real-world data.

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

  • Understand TensorFlow's capabilities

Prerequisites:

  • Familiarity with Python

Hardware and/or installation requirements:

  • A laptop with a modern version of Chrome or Firefox installed

The TensorFlow library enables the use of data flow graphs for numerical computations, with automatic parallelization across several CPUs or GPUs, making it ideal for implementing neural networks and other machine learning algorithms. Robert Schroll demonstrates TensorFlow’s capabilities through its Python interface and walks you through building machine learning models on real-world data piece by piece to using the higher-level abstractions provided by TensorFlow.

Outline

Day 1

  • Introduction to TensorFlow
  • Iterative algorithms
  • Machine learning
  • Basic neural networks

Day 2

  • Deep neural networks
  • Variational autoencoders
  • Convolutional neural networks
  • Adversarial noise
  • DeepDream
  • Recurrent neural networks

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.

Conference registration

Get the Platinum pass or the Training pass to add this course to your package.

Comments on this page are now closed.

Comments

Picture of Robert Schroll
Robert Schroll | DATA SCIENTIST IN RESIDENCE
02/28/2018 1:51am PST

Hi Daniel,

You’ll need to understand Python’s syntax — we’ll jump right in writing code right away. But that’s about it. The only library we’ll be using extensively is TensorFlow itself, and we’ll teach you all about that.

Daniel Kellogg | BUSINESS INTELLIGENCE ANALYST
02/23/2018 1:53pm PST

Hi Sophia,

How much experience in Python is needed for this class? Is it an understanding of the syntax, or a deeper understanding of the different libraries and their uses? Thanks!

Picture of Sophia DeMartini
Sophia DeMartini | SENIOR SPEAKER MANAGER
01/24/2018 8:19am PST

Hi Yingpei – sorry for the delay in getting back to you – the prerequisites for this training are that attendees should be familiar with Python, and should should come with a computer with a modern version of Chrome or Firefox. That’s it! Please let us know if you have any other quesitons.

Thank you,
Sophia

Yingpei He | SR DATA SCIENTIST
01/19/2018 6:38am PST

What prerequisites do we need for this class?