Google Machine Learning Crash Course

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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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Google Machine Learning Crash Course

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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

Google Machine Learning Crash Course

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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

Google Machine Learning Crash Course

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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

Informal Discussions on Machine Learning

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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

Learning Machine Learning with Kaggle Challenges: Solving Titanic Problem

IDRE Visualization Portal, Math Sciences Building 5628 520 Portola Plaza, Los Angeles, CA, United States

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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Free

Learning Machine Learning with Kaggle Challenges: Deep Learning for Dogs-vs-Cats Problem

IDRE Visualization Portal, Math Sciences Building 5628 520 Portola Plaza, Los Angeles, CA, United States

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

Free

Learning Machine Learning with Kaggle Challenges: Deep Learning for Dogs-vs-Cats Problem with Better Solutions

IDRE Visualization Portal, Math Sciences Building 5628 520 Portola Plaza, Los Angeles, CA, United States

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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Free

Exploring Data and Machine Learning with Interactive Python Tools

Zoom

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 Scikit-Learn: the basics

Zoom

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.

High Performance Machine Learning Using Scikit-Learn

Zoom

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.

Learning Convolutional Neural Networks (1)

Zoom

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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Learning Convolutional Neural Networks (2)

Zoom

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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Learning Scikit-Learn

Zoom

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

High Performance Machine Learning Using Scikit-Learn

Zoom

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...
Read More

Introduction to Neural Networks

Zoom

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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Deep Learning, the Good, the Bad and the Ugly

Zoom

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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Learning Scikit-Learn

Zoom

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...
Read More

High Performance Machine Learning Using Scikit-Learn

Zoom

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...
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