Taiwanese Data Professionals (TDP) at New York are honored to invite Yu-Han Chen and Tiezheng Li to speak about.....
Sunday, April 29, 2018
2018/04/27 Event Record
Taiwanese Data Professionals (TDP) at New York are honored to invite Yu-Han Chen and Tiezheng Li to speak about.....
Tuesday, April 17, 2018
2018/04/27 A Bite of NLP & beakerX on top of Jupyter
【Event】Taiwanese Data Professionals
【Topic】A Bite of NLP & beakerX on top of Jupyter
【Time】4/27 (Fri) 7:30 PM - 9:45 PM
【Location】Alchemical Theatre Laboratory (104 West 14th Street, New York, New York 10011)
【Speaker】
* Susan Sun | Freelance data scientist
* Luke Lin | Data Scientist At NYC Data Science Academy
【Introduction】
Yu-Han is a passionate data scientist with a management science background. She is currently pursuing a Master’s degree in Management and Systems at New York University. At the same time, Yu-Han is also working as NLP data engineering intern at Itemize and a part-time data scientist at NYC Data Science Academy. Yu-Han will talk about the introduction of Natural Language Processing (NLP) and demonstrate how she utilizes Google Cloud Vision API, and machine learning in her job.
Tiezheng Li is interested in software architecture and full stack development, and currently focuses on developing BeakerX. Prior to joining Two Sigma he founded Supernova Studio where he created original role-playing games and board games. Tiezheng holds a B.S. in Computer Science and Technology from Tsinghua University, China (2015) and a M.S. in Computer Engineering from Columbia University (2016). Apart from work he enjoys soccer, video editing and competitive programming. He’s given talks at multiple Python community events and conferences.
【Coordinate】Kuang-Ting Chang, Robin Lee, Hsi-Ling Liao, Yu-Han Chen, Hsu Yi-hsuan
【Topic】A Bite of NLP & beakerX on top of Jupyter
【Time】4/27 (Fri) 7:30 PM - 9:45 PM
【Location】Alchemical Theatre Laboratory (104 West 14th Street, New York, New York 10011)
【Speaker】
* Susan Sun | Freelance data scientist
* Luke Lin | Data Scientist At NYC Data Science Academy
【Introduction】
Yu-Han is a passionate data scientist with a management science background. She is currently pursuing a Master’s degree in Management and Systems at New York University. At the same time, Yu-Han is also working as NLP data engineering intern at Itemize and a part-time data scientist at NYC Data Science Academy. Yu-Han will talk about the introduction of Natural Language Processing (NLP) and demonstrate how she utilizes Google Cloud Vision API, and machine learning in her job.
Tiezheng Li is interested in software architecture and full stack development, and currently focuses on developing BeakerX. Prior to joining Two Sigma he founded Supernova Studio where he created original role-playing games and board games. Tiezheng holds a B.S. in Computer Science and Technology from Tsinghua University, China (2015) and a M.S. in Computer Engineering from Columbia University (2016). Apart from work he enjoys soccer, video editing and competitive programming. He’s given talks at multiple Python community events and conferences.
https://www.facebook.com/events/2012058839053678/
https://www.eventbrite.com/e/conversation-with-yu-han-chen-and-tiezheng-li-tickets-45159531374
Sunday, April 1, 2018
2018/03/30 Event Record
Taiwanese Data Professionals (TDP) and Cafe Philo at New York are honored to invite Luke Lin and Susun Sun to speak about their experiences in building a Flask app and working as a data scientist freelancer.
Luke started his talk by sharing Brian Chesky’s quote. “All these really good ideas or big ideas often sound like stupid ideas... A lot of these ideas are you solving your own problem”. More than often, people just intimidated by the name of new things, Luke wants to share that “Big Data”, “Data Science”, and “Machine Learning” is actually not that hard, and we should not afraid of get engage. Then, he demonstrated a Flask app solving his own problem -- ranking restaurants in his to-go list. The Flask app is combined with Google Map API, and MongoDB which allows users to visualize the exact location of a restaurant and manage a database. Luke further explain how he implementing these techniques in his work. For instance, he also build a time management for scheduling his daily tasks and meetings. In the end, Luke ended up sharing his viewpoints on Artificial Intelligence (AI).
The second talk led by Susan Sun was mainly about why, what, how, and where to start and work as a data scientist freelancer. She shared her experience being a student in a boot camp and a lecturer at General Assembly. There are couple of reasons why Susan would love to work as a freelancer. Firstly, she is able to acquire different skill sets across various industries and those ideas carried from companies to companies are highly valued. Secondly, being a freelancer, she has more flexibility especially with respect to time management. Another great pulling force is that there are less tedious and lengthy meetings for freelancers to deal with. On top of discussing her motivations of being a freelancer, she also talk a little bit about her pricing strategy.
Luke started his talk by sharing Brian Chesky’s quote. “All these really good ideas or big ideas often sound like stupid ideas... A lot of these ideas are you solving your own problem”. More than often, people just intimidated by the name of new things, Luke wants to share that “Big Data”, “Data Science”, and “Machine Learning” is actually not that hard, and we should not afraid of get engage. Then, he demonstrated a Flask app solving his own problem -- ranking restaurants in his to-go list. The Flask app is combined with Google Map API, and MongoDB which allows users to visualize the exact location of a restaurant and manage a database. Luke further explain how he implementing these techniques in his work. For instance, he also build a time management for scheduling his daily tasks and meetings. In the end, Luke ended up sharing his viewpoints on Artificial Intelligence (AI).
The second talk led by Susan Sun was mainly about why, what, how, and where to start and work as a data scientist freelancer. She shared her experience being a student in a boot camp and a lecturer at General Assembly. There are couple of reasons why Susan would love to work as a freelancer. Firstly, she is able to acquire different skill sets across various industries and those ideas carried from companies to companies are highly valued. Secondly, being a freelancer, she has more flexibility especially with respect to time management. Another great pulling force is that there are less tedious and lengthy meetings for freelancers to deal with. On top of discussing her motivations of being a freelancer, she also talk a little bit about her pricing strategy.
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