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This is an archive of our past working groups. We are looking to include working groups topics not yet covered here. Is there something not currently on the list? Send us a proposal.

E.g., 16-Jun-25
E.g., 16-Jun-25

MOOC: Sabermetrics 101: Introduction to Baseball Analytics (June 4 - mid-July)

When & Where
Schedule: 
First meeting: Weds. June 4th, 3:00 - 4:30pm
Location: 
Library Data Lab, 189 Doe Annex
Description

Join this working group to shadow the edX course on Sabermetrics (baseball analytics). The course will use R and SQL in addition to some basic stats and should be a fun way to learn  data science basics.

Details
D-lab Facilitator: 
Jon Stiles

Berkeley Machine Learning Group

When & Where
Schedule: 
Tuesdays 5pm - 7pm (June 17 - August 26)
Location: 
D-Lab Large Breakout Room
Description

In this working group you will learn about Machine learning and how to apply it on a concrete project. It will serve as a support for the free 'Machine Learning' coursera online class, taught by Andrew Ng, director of the Stanford Artificial Intelligence Lab:

https://www.coursera.org/course/ml

Review the material for the class and develop your own project (or join a group of 1-3 students). Examples of projects can be found here.

Details
D-lab Facilitator: 
Dav Clark
Participant Technology Requirement: 
You'll need your own laptop (and other computational resources), though some support from D-Lab is available

Python Workers Party (archived)

When & Where
Schedule: 
Previously was Every other Friday, 4:00pm - 6:00pm
Location: 
D-Lab, room varies
Description

This is not the page you are looking for! Please check our active working groups for current information.

PWP is every other week for the summer! See the group page for this week's info.

The Python Workers' Party is a weekly working party, where we develop code that's relevant to our (i.e., *your*) work. See the link below for more up-to-date information!

Keyword: 
Details
D-lab Facilitator: 
Dav Clark

MOOC: Sabermetrics 101: Introduction to Baseball Analytics (June 4 - mid-July)

When & Where
Schedule: 
First meeting: Weds. June 4th, 3:00 - 4:30pm
Location: 
Library Data Lab, 189 Doe Annex
Description

Join this working group to shadow the edX course on Sabermetrics (baseball analytics). The course will use R and SQL in addition to some basic stats and should be a fun way to learn  data science basics.

Details
D-lab Facilitator: 
Jon Stiles

Berkeley Machine Learning Group

When & Where
Schedule: 
Tuesdays 5pm - 7pm (June 17 - August 26)
Location: 
D-Lab Large Breakout Room
Description

In this working group you will learn about Machine learning and how to apply it on a concrete project. It will serve as a support for the free 'Machine Learning' coursera online class, taught by Andrew Ng, director of the Stanford Artificial Intelligence Lab:

https://www.coursera.org/course/ml

Review the material for the class and develop your own project (or join a group of 1-3 students). Examples of projects can be found here.

Details
D-lab Facilitator: 
Dav Clark
Participant Technology Requirement: 
You'll need your own laptop (and other computational resources), though some support from D-Lab is available

MOOC: Sabermetrics 101: Introduction to Baseball Analytics (June 4 - mid-July)

When & Where
Schedule: 
First meeting: Weds. June 4th, 3:00 - 4:30pm
Location: 
Library Data Lab, 189 Doe Annex
Description

Join this working group to shadow the edX course on Sabermetrics (baseball analytics). The course will use R and SQL in addition to some basic stats and should be a fun way to learn  data science basics.

Details
D-lab Facilitator: 
Jon Stiles

Berkeley Machine Learning Group

When & Where
Schedule: 
Tuesdays 5pm - 7pm (June 17 - August 26)
Location: 
D-Lab Large Breakout Room
Description

In this working group you will learn about Machine learning and how to apply it on a concrete project. It will serve as a support for the free 'Machine Learning' coursera online class, taught by Andrew Ng, director of the Stanford Artificial Intelligence Lab:

https://www.coursera.org/course/ml

Review the material for the class and develop your own project (or join a group of 1-3 students). Examples of projects can be found here.

Details
D-lab Facilitator: 
Dav Clark
Participant Technology Requirement: 
You'll need your own laptop (and other computational resources), though some support from D-Lab is available

Python Workers Party (archived)

When & Where
Schedule: 
Previously was Every other Friday, 4:00pm - 6:00pm
Location: 
D-Lab, room varies
Description

This is not the page you are looking for! Please check our active working groups for current information.

PWP is every other week for the summer! See the group page for this week's info.

The Python Workers' Party is a weekly working party, where we develop code that's relevant to our (i.e., *your*) work. See the link below for more up-to-date information!

Keyword: 
Details
D-lab Facilitator: 
Dav Clark

MOOC: Sabermetrics 101: Introduction to Baseball Analytics (June 4 - mid-July)

When & Where
Schedule: 
First meeting: Weds. June 4th, 3:00 - 4:30pm
Location: 
Library Data Lab, 189 Doe Annex
Description

Join this working group to shadow the edX course on Sabermetrics (baseball analytics). The course will use R and SQL in addition to some basic stats and should be a fun way to learn  data science basics.

Details
D-lab Facilitator: 
Jon Stiles

MOOC: Sabermetrics 101: Introduction to Baseball Analytics (June 4 - mid-July)

When & Where
Schedule: 
First meeting: Weds. June 4th, 3:00 - 4:30pm
Location: 
Library Data Lab, 189 Doe Annex
Description

Join this working group to shadow the edX course on Sabermetrics (baseball analytics). The course will use R and SQL in addition to some basic stats and should be a fun way to learn  data science basics.

Details
D-lab Facilitator: 
Jon Stiles

MOOC: Algorithms - Design and Analysis, Part 1

When & Where
Schedule: 
Mondays, 3:00pm - 5:00pm
Location: 
D-Lab Convening Room
Description

NOTE - this is no longer meeting in D-Lab. Please contact Ben if you have an interest in joining.

Join the group in proceeding through the Coursera / Stanford class on Algorithms: Design and Analysis, Part 1.

Details
D-lab Facilitator: 
Dav Clark
Participant Technology Requirement: 
Bring your own laptop, and sign up for the course on Coursera

Python Workers Party (archived)

When & Where
Schedule: 
Previously was Every other Friday, 4:00pm - 6:00pm
Location: 
D-Lab, room varies
Description

This is not the page you are looking for! Please check our active working groups for current information.

PWP is every other week for the summer! See the group page for this week's info.

The Python Workers' Party is a weekly working party, where we develop code that's relevant to our (i.e., *your*) work. See the link below for more up-to-date information!

Keyword: 
Details
D-lab Facilitator: 
Dav Clark

MOOC: Algorithms - Design and Analysis, Part 1

When & Where
Schedule: 
Mondays, 3:00pm - 5:00pm
Location: 
D-Lab Convening Room
Description

NOTE - this is no longer meeting in D-Lab. Please contact Ben if you have an interest in joining.

Join the group in proceeding through the Coursera / Stanford class on Algorithms: Design and Analysis, Part 1.

Details
D-lab Facilitator: 
Dav Clark
Participant Technology Requirement: 
Bring your own laptop, and sign up for the course on Coursera

MOOC: Algorithms - Design and Analysis, Part 1

When & Where
Schedule: 
Mondays, 3:00pm - 5:00pm
Location: 
D-Lab Convening Room
Description

NOTE - this is no longer meeting in D-Lab. Please contact Ben if you have an interest in joining.

Join the group in proceeding through the Coursera / Stanford class on Algorithms: Design and Analysis, Part 1.

Details
D-lab Facilitator: 
Dav Clark
Participant Technology Requirement: 
Bring your own laptop, and sign up for the course on Coursera

Python Workers Party (archived)

When & Where
Schedule: 
Previously was Every other Friday, 4:00pm - 6:00pm
Location: 
D-Lab, room varies
Description

This is not the page you are looking for! Please check our active working groups for current information.

PWP is every other week for the summer! See the group page for this week's info.

The Python Workers' Party is a weekly working party, where we develop code that's relevant to our (i.e., *your*) work. See the link below for more up-to-date information!

Keyword: 
Details
D-lab Facilitator: 
Dav Clark

MOOC: Algorithms - Design and Analysis, Part 1

When & Where
Schedule: 
Mondays, 3:00pm - 5:00pm
Location: 
D-Lab Convening Room
Description

NOTE - this is no longer meeting in D-Lab. Please contact Ben if you have an interest in joining.

Join the group in proceeding through the Coursera / Stanford class on Algorithms: Design and Analysis, Part 1.

Details
D-lab Facilitator: 
Dav Clark
Participant Technology Requirement: 
Bring your own laptop, and sign up for the course on Coursera

Information-Energy Nexus Working Group

When & Where
Schedule: 
Fridays - every other week - at noon (starts Feb 14)
Description

The Information-Energy Nexus Working Groupwhich focuses on the transformative role of information technology on modern energy systems, is a forum for graduate and undergraduate students and other researchers (at UC Berkeley, LBNL, and beyond) to collaborate.  It will not be the kind of group where you come to see a different lecture every week by outside speakers. Instead, we will work together to develop and share open-source datasets, analysis tools, and field methods that are useful across a range of topics. infoEnergy shares knowledge and builds tools together, and is mostly made up of researchers and students who are working on our 'own' projects. We are currently partnered with Cleanweb Berkeley and the Berkeley Rural Energy Group to extend our reach.

Details
D-lab Facilitator: 
Jon Stiles

MOOC: Algorithms - Design and Analysis, Part 1

When & Where
Schedule: 
Mondays, 3:00pm - 5:00pm
Location: 
D-Lab Convening Room
Description

NOTE - this is no longer meeting in D-Lab. Please contact Ben if you have an interest in joining.

Join the group in proceeding through the Coursera / Stanford class on Algorithms: Design and Analysis, Part 1.

Details
D-lab Facilitator: 
Dav Clark
Participant Technology Requirement: 
Bring your own laptop, and sign up for the course on Coursera

Python Workers Party (archived)

When & Where
Schedule: 
Previously was Every other Friday, 4:00pm - 6:00pm
Location: 
D-Lab, room varies
Description

This is not the page you are looking for! Please check our active working groups for current information.

PWP is every other week for the summer! See the group page for this week's info.

The Python Workers' Party is a weekly working party, where we develop code that's relevant to our (i.e., *your*) work. See the link below for more up-to-date information!

Keyword: 
Details
D-lab Facilitator: 
Dav Clark

Social Science Methods Reading Group

When & Where
Schedule: 
Wednesdays 4:00pm - 5:00pm
Location: 
D-Lab Convening Room
Description

A pilot reading group to explore high-level methods issues in the social sciences. For example, we're currently planning on discussing problems with identification, and the merits and pitfalls of Bayesian approaches to hypothesis testing. Drop-ins are welcome!

Visit our group web page for more info.

Details
D-lab Facilitator: 
Dav Clark

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