Quanquan Gu, an assistant professor of computer science at the UCLA Samueli School of Engineering, was awarded the Amazon Web Services (AWS) Machine Learning Research Award. Since 2017, these quarterly awards are granted to faculty, doctoral candidates and graduate students who research create open source tools and contribute to the machine learning community. Gu’s statistical…
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Machine Learning
Exploring Data and Machine Learning with Interactive Python Tools
This course will teach attendees how to build interactive widgets and visualizations for exploring equations, datasets, and machine learning models. This course will touch on several machine learning tools in Python, but the primary goal will be to give attendees a foundation in tools that can be useful in exploring datasets and conceptualizing models. Basic…
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Learning Machine Learning with Kaggle Challenges: Deep Learning for Dogs-vs-Cats Problem with Better Solutions
In Fall 2019, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who…
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Learning Machine Learning with Kaggle Challenges: Deep Learning for Dogs-vs-Cats Problem
In Fall 2019, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who…
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Learning Machine Learning with Kaggle Challenges: Solving Titanic Problem
In Fall 2019, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who…
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Informal Discussions on Machine Learning
This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Dec. 18th. Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden…
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Informal Discussions on Machine Learning
This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Dec. 18th . Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden…
Read More
Informal Discussions on Machine Learning
This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural…
Read More
Informal Discussions on Machine Learning
This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural…
Read More
Informal Discussions on Machine Learning
This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural…
Read More