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)
Monday, September 25 & Tuesday, September 26, 9:00am - 5:00pm
Machine Learning & Data Science
Location: 1A 01/02
Secondary topics:  Deep learning
SOLD OUT
Average rating: **...
(2.50, 2 ratings)

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 explore 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 explore 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 instructor

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.

Conference registration

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

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Comments

sivasankar rao |
10/06/2017 5:06am EDT

Hi..This is not a related to training program but, I have an one doubt on Tensors.The question is " What is the role of Tensors in Software Engineering concepts like process life cycles and model designing etc."

Picture of Dana Mastropole
Dana Mastropole | DATA SCIENTIST IN RESIDENCE
09/24/2017 7:18pm EDT

No, Docker is not a requirement. Working knowledge of python is highly recommended. While some background in machine learning is certainly helpful, it’s not required.

Ganesh Prasad | DATA SCIENTIST
09/22/2017 10:28am EDT

Hi,

Most of the Tensorflow tutorials i have seen use Docker but Docker does not go through our company laptops behind the firewall. Do you know if that is a requirement for this tutorial?

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?