Institute for Digital Research and Education
This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...
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This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...
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This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...
Read More
This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our...
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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...
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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
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
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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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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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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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...
Read More
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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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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As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will present an introduction about the basics of scikit-learn python library. Prerequisite knowledge for the workshop includes Python programming and basic machine learning concepts.
As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will discuss some advanced topic on using scikit-learn python library to make high performance machine learning, specifically the speedup modeling using multicore and accelerators and out-of-core learning. The session assumes the knowledge of topics covered in the first session. Working experience on Python programming, basic machine learning concepts and Scikit-learn will be helpful.
Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. This workshope will be an introduction on convolutional neural network. We will start our learning on how to use PyTorch to do image processing for classic Dogs-vs-Cats problem. The knowledge of topics covered in the previous sessions is...
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Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. This workshope will be the second lecture on the introduction to convolutional neural network. We will continue our learning on how to apply data augmentation and transfer learning techniques to get a better solution for the classic Dogs-vs-Cats...
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As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will present an introduction about the basics of scikit-learn python library. Prerequisite knowledge for the workshop includes Python programming and basic machine learning...
Read More
As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will discuss some advanced topic on using scikit-learn python library to make high performance machine learning, specifically the speedup modeling using multicore and...
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This workshop is a descriptive "no-math" and "no-python" introduction to what deep learning is and how to train a deep neural network. Our discussion will be arranged along with a general procedure for working on a deep learning project. Basic knowledge of calculus and linear algebra will be helpful in understanding the details. Any questions...
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In this workshop, we will talk about deep learning and neural network from a different perspective. After a very brief introduction to what machine learning and deep learning are, our discussion will be focused on what deep learning technology can (and cannot) bring to academic research, including both the benefits and the challenges. No specific...
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Machine learning has undeniably emerged as a crucial element in the field of science and technology in recent years. Consequently, mastering libraries like scikit-learn, pivotal in the arsenal of machine learning tools, is of paramount importance. This lecture is designed to provide a fundamental understanding of the scikit-learn Python library. To get the most out...
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Machine learning has undeniably emerged as a crucial element in the field of science and technology in recent years. Consequently, mastering libraries like scikit-learn, pivotal in the arsenal of machine learning tools, is of paramount importance.In this session, we delve into advanced aspects of leveraging the scikit-learn Python library for high-performance machine learning. We will...
Read More