Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

In-Person Training
Machine learning with TensorFlow

Dana Mastropole (The Data Incubator), Michael Li (The Data Incubator)
Monday, September 25 & Tuesday, September 26, 9:00am - 5:00pm
Secondary topics:  Deep learning

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.

Dana Mastropole and Michael Li demonstrate TensorFlow's capabilities through its Python interface and explores TFLearn, a high-level deep learning library built on TensorFlow. Join in to learn how to use TFLearn and TensorFlow to build machine-learning models on real-world data.

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

  • Understand TensorFlow's capabilities
  • Explore TFLearn, a high-level deep learning library built on TensorFlow

Dana Mastropole and Michael Li demonstrate TensorFlow’s capabilities through its Python interface and explores TFLearn, a high-level deep learning library built on TensorFlow. The TensorFlow library allows 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. Join in to learn how to use TFLearn and TensorFlow to build machine-learning models on real-world data.

About your instructors

Photo of Dana Mastropole

Dana Mastropole is a data scientist in residence at the Data Incubator and contributes to curriculum development and instruction. Previously, Dana taught elementary school science after completing MIT’s Kaufman teaching certificate program. She studied physics as an undergraduate student at Georgetown University and holds a master’s in physical oceanography from MIT.

Photo of Michael Li

Tianhui Michael Li is the founder and CEO of the Data Incubator. Michael has worked as a data scientist lead at Foursquare, a quant at D.E. Shaw and JPMorgan, and a rocket scientist at NASA. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup that lets him focus on what he really loves. He did his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall scholar.

Conference registration

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

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Comments

Jason Lee | SENIOR INVESTMENT ENGINEER
08/11/2017 11:39am EDT

Are there any pre-reqs to get the most out of this course? I signed up but have no real experience with machine learning. Am I going to be over my head?

George Pongracz | DATA ENGINEER
07/28/2017 3:25pm EDT

Hi Robert, I have signed up for your tutorial and will be coming from Melbourne Australia. May I DM with you to get some advice on preparation please.

Picture of Robert Schroll
Robert Schroll | DATA SCIENTIST IN RESIDENCE
06/29/2017 1:49pm EDT

You will need a laptop with a modern version of Chrome or Firefox. We’ll take care of the rest!

MICHAEL GERSON | DATA MINING STATISTICIAN
06/29/2017 9:01am EDT

Will a laptop be necessary or helpful?