eBay Israel - Autumn Data Science School
Oct 13- Dec 29, 2016 Netanya, Israel
Data science waves have brought change in multiple disciplines from science and
technology through business and society, hitting with full force in the last couple of years
with the re-introduction of the Deep Learning paradigm. With the increasing amount of
data being created in the world through the development of the web, social networks and
internet commerce - the need for automated methods for data analysis is growing rapidly.
As a leader in the field of deep learning and NLP and our ongoing commitment to
improving the ecosystem, eBay will be opening an eBay Autumn Data Science School.
In this 3-months course we will deep dive to the cutting-edge research in NLP and related
disciplines and explore the state of the art methods in those fields.
We will explore practical algorithms that have been used to solve key problems in data
mining and can be applied successfully to even the largest datasets.
During the course we will cover the theory and practice of decision trees, SVM, graphical
models, neural network models (including: word vector representations, window-based
neural networks, recurrent neural networks, long-short-term-memory models, recursive
neural networks, and convolutional neural networks) and explore other data mining
applications such as Clustering, Massive Graphs Mining, and Recommender Systems.
The goal of the course is share our experience with the community and make you the
best data-scientist and practitioner wherever you go next.
The autumn school is aimed at graduate students and leading industrial engineers and
researchers who already have some basic knowledge of machine learning (and possibly
but not necessarily of deep learning) and wish to learn more about this rapidly growing
field of research.
The final Project would be a Kaggle competition.
About the speaker:
The course will be led by Dr. Kira Radinsky, eBay chief scientist and director of Data Science.
Other speakers will include leading researchers from eBay, academic and the industry.
About Dr. Radinsky:
As the chief scientist and the director of data science of eBay, Dr. Kira Radinsky is building the
next generation predictive data mining, deep learning and natural language processing solutions
that will transform eCommerce. She co-founded SalesPredict, acquired by eBay in 2016, that
was the leader in the field of predictive marketing building solutions leveraging large-scale data
mining to predict sales conversions.
One of the up-and-coming voices in the data science community, she is pioneering the field of
Web Dynamics and Temporal Information Retrieval.
Dr. Radinsky gained international recognition for her work at Microsoft Research, where she
developed predictive algorithms that recognized the early warning signs of globally impactful
events, including political riots and disease epidemics. In 2013, she was named to the MIT
Technology Review’s 35 Young Innovators Under 35, and in 2015 as Forbes 30 under 30 rising
stars in enterprise technology. She is a frequent presenter at global tech events, including TEDx
and the World Wide Web Conference, and she publishes in the Harvard Business Review.
Radinsky also serves as visiting professor at the Technion, Israel’s leading science and technology
institute, where she focuses on the application of predictive data mining in medicine.
Due to high demand, the course is highly selective and participants will be selected based on academic and industrial record.
Participants will be accepted if:
They are during or hold a master degree and up in computer science, electrical engineering or related disciplines or 7+ engineering record with relevant background.
Please submit a CV through our email address and a cover letter which will be reviewed by the school committee.
500$ - Regular Price
100$ - For Students
Payment method will be published later on.
*Payment only after you recieve acceptance notification