A Hands-on Dive into Making Sense of Real World Data
This talk is about Jupyter Notebook, Yelp, public dataset, and with that, how to train and validate a machine learning model.
The talk was given to Yelp engineers during the Awesome Women in Engineering Summit at the Yelp Headquarter in Sept. 2019. |
TECHINICAL INTERVIEW WORKSHOPA technical interview is often the biggest part of landing a software engineering internship or job. In this workshop, an experienced interviewer will introduce you to the format of a typical technical interview, and provide some tips for preparation. We will also walk through an example coding problem together.
This was a recruiting talk given to UC Merced students on October 15, 2019. |
Describe Your Favorite Local Business in a Single Sentence
Talk: Describe Your Favorite Local Business in a Single Sentence
Businesses on Yelp may have thousands of reviews - each with thousands of words. If you could only show a short snippet of review text on the ad for your local business, how would you choose it? Come learn about how we find the sentence in the haystack of reviews that Yelp has about every business. This was a recruiting talk given to Stanford students on Oct 18, 2017. |
A Hands-on Dive into Making Sense of Real World Data
Workshop: A Hands-on Dive into Making Sense of Real World Data
From a user’s past reviews on Yelp, how likely is she to assign a five-star review to a business she has not reviewed before? This workshop teaches you how to solve data science problems like this using Jupyter Notebooks. We will cover common statistical techniques and popular Python libraries for data analysis and machine learning (Pandas, matplotlib, and scikit-learn).
This workshop was given at Grace Hopper 2017, in front of an audience of about 200 people on Oct 6, 2017.
A similar workshop was also given at Women Who Code Connect 2017 on April 29, 2017.
From a user’s past reviews on Yelp, how likely is she to assign a five-star review to a business she has not reviewed before? This workshop teaches you how to solve data science problems like this using Jupyter Notebooks. We will cover common statistical techniques and popular Python libraries for data analysis and machine learning (Pandas, matplotlib, and scikit-learn).
This workshop was given at Grace Hopper 2017, in front of an audience of about 200 people on Oct 6, 2017.
A similar workshop was also given at Women Who Code Connect 2017 on April 29, 2017.
How Likely Would You Give A Five-Star Review on Yelp?
Getting Your Hands Dirty with scikit-learn
Goal: demonstrate the power and simplicity of scikit-learn for machine learning. Demo through Jupyter Notebook. Case study: given a user’s past reviews on yelp (available from yelp-challenge dataset), when the user writes a review for a business she hasn't reviewed before, how likely will it be a five-star review? This was a lightning talk for PyLadies with WWCode on August 9, 2016. |
Panel: Expat women in tech
An inspiring evening of networking and a panel discussion with women working in tech companies in the Bay Area.
This is a networking and panel event with The Expat Woman on March 1, 2017. |