15 seats left at 27% off!
Online | 16-week bootcamp
Duration: 14 weeks
12 seats left at 27% off!
Duration: 14 weeks
9 seats left at 27% off!
Learn about our 5-day bootcamp!
When: November 6, 2019, 12:00 PM (PST)
Where: Online (Zoom Webinar)
Join Data Scientist Rebecca Merrett and Senior Marketing Manager Blair Heckel as they guide you through our 5-day, hands-on, and in-person Data Science and Data Engineering Bootcamp. They’ll be answering some of the most frequently asked questions such as, “Are there any prerequisites?”, “When does the class take place?”, and “Am I a good fit for this course?”, as well as any that come up during the webinar!
Topics covered during the webinar include:
Bring all your burning questions and ask away!
Rebecca Merrett holds a bachelor’s degree in information and media from the University of Technology Sydney and a post-graduate diploma in mathematics and statistics from the University of Southern Queensland. She has a background in technical writing for games dev and has written for tech publications. Rebecca just moved to the United States from Sydney, Australia and joined Data Science Dojo after attending a bootcamp in 2015!
Blair is the Senior Marketing Manager at Data Science Dojo. When not conducting A/B tests on potential customers, she enjoys hiking through the Washington wilderness and eating pho. Blair holds a bachelor’s degree in Marketing from Washington State University and has a background in leading data-driven marketing campaigns.
Data Science Dojo Meetup
An average data scientist (ML Practitioner, AI expert) spends a significant amount of time designing and running experiments (and waiting for them to complete)
This involves one or many of the following:
– trying out various training algorithms
– doing some feature engineering
– changing preprocessing steps to get more homogeneous data
– trying out different types of hyperparameters
– testing data with different datasets
There is a lot that is involved with creating and running experiments, but the only thing that we seem to be equipped to keep track of is the source code of the best performing experiments, and none of the other configuration parameters that actually constitute an experiment.
Because of this, it is quite frequently that we hear phrases like:
“It was working yesterday” – highlighting the commonality in reproducibility of experiment “I don’t remember what the actual scores are, but using feature X didn’t help” – documentation issue “I fixed a bug, but I ran so many previous experiments with that bug”
– code dependency issue
“I am using the same parameters as experiment 4, why is it not working” – reproducibility and documentation issue
In this talk I will go through the typical process that ML practitioners and data scientists follow, taking python and scikit-learn as a use case, and the recurring issues that we are starting to see with these processes.
I will describe the best practices to follow to help document experiments to help reproducibility, and tools and startups that are working on this space to fix the gaping issues that we have for experiment management.
Dr. Rutu Mulkar is the founder of Hunchera, and previously the founder of Ticary Solutions (acquired by Sigmoidal). She received her Ph.D. in Natural Language Processing from USC and has contributed to IBM’s Watson system that defeated humans in Jeopardy!
She is interested in solving problems related to Natural Language Processing, specifically – Topic Modeling, Recommender Systems, Information Extraction, Semantics, and Search to name a few, and to apply them to various domains such as SEO and healthcare.
6:30-7:45: Follow along with the presentation
When you attend this Meetup, you enter an area where photography, audio, and video recording may occur. By attending this event, you consent to photography, audio recording, video recording and its/their release, publication, exhibition, or reproduction to be used for promotional purposes, advertising, inclusion on websites, social media, or any other purpose by Data Science Dojo (DSD) and its affiliates and representatives.
Can’t Make the Meetup? Watch the Live Stream: