BGU's Data Science Community
Who We Are
DiSCo is a data science community at Ben-Gurion University of the Negev. We are a community with a goal of overall development and growth of students and professional enthusiasts in Beer-Sheva in the areas of data mining, data science, and machine learning. DiSCo meetups act as a platform to provide hands-on experience in data science tools and techniques, while networking and having fun. We are all about learning, snacks and friendship.
Data science, also known as data-driven science, is an interdisciplinary field of scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining. Harvard Business Review called it "The Sexiest Job of the 21st Century."
The motivation of this club is to serve as a platform for BGU data science enthusiasts to pursue their interests in data science to learn, network, collaborate, create, and innovate.
Uri Eliabayev, Founder and CEO of the Machine and Deep Learning Israel community, is coming to DiSCo for an opening lecture!
Uri Eliabayev founded the largest AI community in Israel, "Machine and Deep Learning Israel" which has more than 20,000 members of the leading AI talents in Israel.
In addition, Uri is part of national committees responsible for determining Israel's AI strategy AI. He advises large companies in Israel, he's an international lecturer, and his clients include Google, Haaretz, the International Bank, Elbit and many more.
He comes to DiSCo to help us understand a little more about AI and the basic terms in the field. Uri will talk about the main topics and tools that exist in the field of AI today, what the differences between them are, and give examples of uses in the industry.
The lecture will answer the difficult question of what are the differences between a Data Engineer, a Data Scientist and a DATA Analyst.
Tuesday, November 10, 2020
Introduction to NLP
Have you ever wondered if computers can understand human languages?
Since 1950, people have been trying to crack the secret of understanding the human language. In his famous Turing test, Alan Turing defined conversation between a human being and a computer as a criterion for intelligence. The complexity of understanding the human language can prove his argument. In this lecture, Gal will explain how to deal with textual data, cover the main architectures for analyzing text and show how things work in practice.
Gal Hever is a graduate of the "Meitar" program in the Department of Industrial Engineering and Management in Ben-Gurion with a specialization in data science. Today, she is a Data Scientist at VisionMap. Gal initiated and established the DataNights track in the Datahack community. For those of you who are unfamiliar, this is a track with excellent online lectures in the field of Data Science. In addition, Gal is currently a mentor for women looking for a job in the high-tech and data science field in the Facebook group Coming and she has lots of tips to share with us.
Tuesday, November 24, 2020
Mirror of Erised: How to See What You Desire in Your Data
Asya Frumkin is a senior algorithm developer, specializing in computer vision and currently working in the field of medical imaging. She comes to DiSCO to talk to us about the data exploration phase in research, which is a crucial element in data science projects. This step allows the data scientist to better understand the data and the task at hand. In this lecture, Asia will introduce different techniques for this step and show us how it can be applied to a medical dataset to predict a cardiac event.
Why is EDA important?
Know your data
Analyze your data
Wednesday, December 9, 2020
Our alumni are coming to DiSCo to answer all of those questions you've been waiting to ask a data scientist from the field. Join us!
In the panel we will have a chance to ask our graduates all the questions that interest us. How does a workday look? What are the differences between working for a start-up company and working for a large company? What tools are recommended to be purchased for data science jobs? And more.
Wednesday, December 23, 2020
You are invited to join the first lecture of the series with Dr. Eyal Gruss who will give an introduction to Deep Learning and an overview of state-of-the-art technologies in deep learning and deep neural networks.
Deep learning and deep neural networks have in recent years become the forefront of machine learning and artificial intelligence, and their performance is sometimes compared to that of humans. In this introductory lecture, we will review the latest uses and innovations of these methods in computer vision, language understanding, synthetic media and more.
Eyal Gruss is a New Media Artist, Artificial Intelligence Researcher and Dr. of physics.
Monday, December 16, 2019
Building 15, Room 300.
Data Visualization Workshop
Join us for an exciting workshop with a number of case studies in which we will go over graphs and take them from a "nothing" defective state to a "something" state. The workshop will take place in Python in a Jupiter workbook environment.
Boris Gorelik is a freelancer and lecturer in the field of data science and data visualization. Boris has a PhD in Computational Chemistry and a Pharmacy degree. Boris Gorelik's personal website: https://gorelik.net/
Sunday, April 5, 2020
Stop Being a Git!
In this workshop we will learn what Git is, why it's good and how to use it as a team, while adhering to industry standards and sharing tips.
During the workshop we will use git and github so it is recommended that you install the software beforehand.
Guy Warburg, Developer Paul Stack at Datree, a git based policy engine.
During his work at the company, Guy was exposed to many practices with Git in particular and various technologies in general.
Enjoys developing smart, comfortable interfaces, playing Ultimate Frisbee and staying home with his wife
Sunday, April 12, 2020
Winning Kaggle WIDS Challenge & Feature Engineering
Dan Ofer (WiDs 2020 Winning team) will lecture about :
- His WiDS 2020 1st place solution
- General tricks for winning Kaggle competitions
- Ways to approach time series forecasting + feature engineering.
Thursday, April 30, 2020
Meet experts from the industry and learn about real-world data science challenges
Learn and acquire skills using data science tutorials
Participate in online competitions and practice what we learn
Form groups and networks for future collaborations
Well, we don't need to explain this :)