Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Learning machine learning using astronomy datasets

Viviana Acquaviva (CUNY New York City College of Technology)
9:00am–12:30pm Tuesday, 09/11/2018
Data science and machine learning
 Location: 1E 14 Level: Beginner
Average rating: ****.
(4.75, 4 ratings)

Who is this presentation for?

  • Beginner data scientists and their supervisors

Prerequisite knowledge

  • Intermediate programming skills
  • Basic knowledge of machine learning concepts and techniques
  • The ability to follow a Python notebook

Materials or downloads needed in advance

  • A laptop with Python 3, sci-kit learn (which requires NumPy and SciPy), matplotlib, pandas, and the Jupyter Notebook installed before arriving at the tutorial

What you'll learn

  • Learn best practices for choosing, developing, and evaluating machine learning algorithms in "real-world" datasets

Description

Using interesting, diverse publicly available datasets and actual problems in astronomy research, Viviana Acquaviva leads an intermediate tutorial on machine learning. You’ll learn how to customize algorithms and evaluation metrics required by scientific applications and discover best practices for choosing, developing, and evaluating machine learning algorithms in “real-world” datasets. You’ll also explore ongoing challenges in the field.

Join in to learn how to tackle machine learning challenges by thinking like a scientist.

This tutorial makes use of open educational resources, from Jupyter notebooks to data science books freely available on GitHub.

Photo of Viviana Acquaviva

Viviana Acquaviva

CUNY New York City College of Technology

Viviana Acquaviva is an astrophysicist and associate professor at CUNY, where she uses data science techniques to study the universe.

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Comments

Picture of Sophia DeMartini
Sophia DeMartini | SENIOR SPEAKER MANAGER
09/10/2018 6:20pm EDT

Hi All,

We actually strongly recommend downloading the materials BEFORE you arrive onsite. We need to ensure the wifi bandwidth isn’t being taxed, as we will have many tutorials running at the same time. Please make sure to prepare before arriving for the tutorial.

Thank you,
Sophia

Picture of Viviana Acquaviva
Viviana Acquaviva | ASSOCIATE PROFESSOR
09/10/2018 5:39pm EDT

Hello everyone! If you’d like, you can already head to

https://github.com/vacquaviva/Strata2018

and download the material for tomorrow. There will be also time in the morning of course.

Cheers,

Viviana

Picture of Viviana Acquaviva
Viviana Acquaviva | ASSOCIATE PROFESSOR
09/01/2018 9:57am EDT

Hi Celso!

Absolutely. Check out

https://github.com/vacquaviva/Strata2018/blob/master/HowToInstallJupyterNotebooks.pdf

Let me know if you have any more questions.

Cheers,

Viviana

Celso Poderoso | PROFESSOR
09/01/2018 8:09am EDT

Hi Viviana,
Is there any standard package or site where I can download the Jupyter and other necessary tools?
Thanks.