A Gentle Introduction to Machine Learning Workshop

A Gentle Introduction to Machine Learning Workshop
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Date(s) - 25/04/2019
6:00 pm - 9:00 pm



Start learning the basics of Data Science with Python, R, Spark, and Statistics.

About this Event

*Due to the high demand, we are repeating Mr. Yasin Ceran’s last week workshop. The content will be the same. We recommend last week’s participants to join our other events.

Start learning the basics of Data Science with Python, R, Spark, and Statistics.

This short course covers the fundamentals of data science and tells you about the path that you can follow while you are learning data science. For the ones that are interested in data science but do not know where to start, this daily lecture is for you. You will learn the common coding skills in Python, and acquire knowledge of its data structures, modules, functions, input/outputs, exceptions.

Anyone who is related to data science or thinking to be a part of it can start learning data science with this introductory data science course. Come with your questions, leave with a sense of purpose and direction!


6:00 pm – 6:30 pm Refreshments and networking

6:30 pm – 8:30 pm A Gentle Introduction to Machine Learning by Yasin Ceran

8:30 pm – 8:45 pm Q&A

About the Instructor:

Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. Since 2013, he has been working at Santa Clara University as an assistant professor in the Information Systems and Analytics department (earlier Operations Management and Information Systems department), teaching applied machine learning, software platforms, and computer networks.

He holds extensive experience in working on various data intense business platforms. Some of the notable projects he contributed to include the development of a predictive inventory allocation algorithm for Blockbuster with regard to the relationship between sales and customer reviews. Later, he created a mathematical model to capture the decision-making process of online customers based on their collection of data from different sources on the Web. He also developed a probabilistic model to detect churning users for Stumbleupon.com. Yasin is the proposer of an algorithm that helps to reduce bias in electronic formats. His present role involves working on optical DNA sequencing based on actionable big data.

Yasin has completed his Ph.D. in Management Information Systems from the University of Texas at Dallas. He earned his M.S. in Electrical Engineering with a concentration in Telecommunications from the same university and obtained his B.S. in Electrical Engineering from Osmangazi Üniversitesi. At Santa Clara University, he also supervised a large team of software development students working on the Capstone Project. During his 5+ years of working experience, Yasin has worked rigorously on an array of data related projects encompassing data mining, statistics, big data, data science, and data visualization, and is dedicated to sharing his experience and expertise with learners. Apart from data science, Yasin’s knowledge spectrum also expands to cybersecurity and he is an ardent follower of innovative processes and implementations of technologies to defend the world’s digital economies.

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