Do you want to explore the applications of Deep Learning? Come to our meetup and find out answers!
Time & Date: 6:00 PM - 8:00 PM, 11/20/2017
Location: Google Launchpad (301 Howard St, San Francisco, CA 94105)
Speaker:
Jesus Martinez-Manso
Senior Machine Learning Engineer at Planet
Jesus obtained his Ph.D. in Astrophysics at the University of Florida, where he worked on various areas of observational cosmology and galaxy evolution. His main focus was to characterize and understand how dark matter determined the formation and fate of galaxies in the young Universe. Later, he took part in the Insight Data Science program and joined Capital One as a data scientist in their SF office. He worked mostly in digital platforms for small businesses, building production pipelines for fraud detection in payments and account opening. Three years later, realizing how fun it used to be to analyze satellite imagery from deep space, he joined the machine learning team at Planet. Since then, he has been engineering computer vision systems to perform scalable operations on Earth’s imagery, such as feature classification, content-based indexing, time series change and cloud opacity regression.
TALK:
Planet is a young SF-based company that has rapidly become one of the world’s leaders in agile aerospace. We design, manufacture and operate Earth-imaging satellites. In the last few years, we have launched almost 300 of them into orbit, representing the largest constellation in history. These satellites are able to map the entire world, every day, at a resolution of 3.5 meters per pixel. While this imagery is available for visual exploration, only computers can feasibly “see” all of it. To this end, we are building machine learning pipelines that are able to process this vast amount of data and deliver answers about what is happening in the world. During this talk, I will give an overview of Planet’s satellites, walk through uses of our data and discuss various applied deep learning methods. We will touch on feature classification, localization, segmentation and time series, plus a few lessons learned from developing resource-heavy workflows.
Agenda:
6:00 PM - 6:30 PM Networking
6:30 PM - 7:30 PM Explore Applications of Deep Learning
7:30 PM - 8:00 PM Post-event Networking
Organized By:
Silicon Vally Data Science Practitioners
A group that creates a platform for people who are interested in Data Science and Artificial Intelligence to learn and network.
Special Thanks To:
Google Developers Launchpad
Launchpad is a global mentoring program that helps startups build and scale great products by matching them with the best of Google - its people, network, and advanced technologies.
show less
Time & Date: 6:00 PM - 8:00 PM, 11/20/2017
Location: Google Launchpad (301 Howard St, San Francisco, CA 94105)
Speaker:
Jesus Martinez-Manso
Senior Machine Learning Engineer at Planet
Jesus obtained his Ph.D. in Astrophysics at the University of Florida, where he worked on various areas of observational cosmology and galaxy evolution. His main focus was to characterize and understand how dark matter determined the formation and fate of galaxies in the young Universe. Later, he took part in the Insight Data Science program and joined Capital One as a data scientist in their SF office. He worked mostly in digital platforms for small businesses, building production pipelines for fraud detection in payments and account opening. Three years later, realizing how fun it used to be to analyze satellite imagery from deep space, he joined the machine learning team at Planet. Since then, he has been engineering computer vision systems to perform scalable operations on Earth’s imagery, such as feature classification, content-based indexing, time series change and cloud opacity regression.
TALK:
Planet is a young SF-based company that has rapidly become one of the world’s leaders in agile aerospace. We design, manufacture and operate Earth-imaging satellites. In the last few years, we have launched almost 300 of them into orbit, representing the largest constellation in history. These satellites are able to map the entire world, every day, at a resolution of 3.5 meters per pixel. While this imagery is available for visual exploration, only computers can feasibly “see” all of it. To this end, we are building machine learning pipelines that are able to process this vast amount of data and deliver answers about what is happening in the world. During this talk, I will give an overview of Planet’s satellites, walk through uses of our data and discuss various applied deep learning methods. We will touch on feature classification, localization, segmentation and time series, plus a few lessons learned from developing resource-heavy workflows.
Agenda:
6:00 PM - 6:30 PM Networking
6:30 PM - 7:30 PM Explore Applications of Deep Learning
7:30 PM - 8:00 PM Post-event Networking
Organized By:
Silicon Vally Data Science Practitioners
A group that creates a platform for people who are interested in Data Science and Artificial Intelligence to learn and network.
Special Thanks To:
Google Developers Launchpad
Launchpad is a global mentoring program that helps startups build and scale great products by matching them with the best of Google - its people, network, and advanced technologies.
Do you want to explore the applications of Deep Learning? Come to our meetup and find out answers!
Time & Date: 6:00 PM - 8:00 PM, 11/20/2017
Location: Google Launchpad (301 Howard St, San Francisco, CA 94105)
Speaker:
Jesus Martinez-Manso
Senior Machine Learning Engineer at Planet
Jesus obtained his Ph.D. in Astrophysics at the University of Florida, where he worked on various areas of observational cosmology and galaxy evolution. His main focus was to characterize and understand how dark matter determined the formation and fate of galaxies in the young Universe. Later, he took part in the Insight Data Science program and joined Capital One as a data scientist in their SF office. He worked mostly in digital platforms for small businesses, building production pipelines for fraud detection in payments and account opening. Three years later, realizing how fun it used to be to analyze satellite imagery from deep space, he joined the machine learning team at Planet. Since then, he has been engineering computer vision systems to perform scalable operations on Earth’s imagery, such as feature classification, content-based indexing, time series change and cloud opacity regression.
TALK:
Planet is a young SF-based company that has rapidly become one of the world’s leaders in agile aerospace. We design, manufacture and operate Earth-imaging satellites. In the last few years, we have launched almost 300 of them into orbit, representing the largest constellation in history. These satellites are able to map the entire world, every day, at a resolution of 3.5 meters per pixel. While this imagery is available for visual exploration, only computers can feasibly “see” all of it. To this end, we are building machine learning pipelines that are able to process this vast amount of data and deliver answers about what is happening in the world. During this talk, I will give an overview of Planet’s satellites, walk through uses of our data and discuss various applied deep learning methods. We will touch on feature classification, localization, segmentation and time series, plus a few lessons learned from developing resource-heavy workflows.
Agenda:
6:00 PM - 6:30 PM Networking
6:30 PM - 7:30 PM Explore Applications of Deep Learning
7:30 PM - 8:00 PM Post-event Networking
Organized By:
Silicon Vally Data Science Practitioners
A group that creates a platform for people who are interested in Data Science and Artificial Intelligence to learn and network.
Special Thanks To:
Google Developers Launchpad
Launchpad is a global mentoring program that helps startups build and scale great products by matching them with the best of Google - its people, network, and advanced technologies.
read more
Time & Date: 6:00 PM - 8:00 PM, 11/20/2017
Location: Google Launchpad (301 Howard St, San Francisco, CA 94105)
Speaker:
Jesus Martinez-Manso
Senior Machine Learning Engineer at Planet
Jesus obtained his Ph.D. in Astrophysics at the University of Florida, where he worked on various areas of observational cosmology and galaxy evolution. His main focus was to characterize and understand how dark matter determined the formation and fate of galaxies in the young Universe. Later, he took part in the Insight Data Science program and joined Capital One as a data scientist in their SF office. He worked mostly in digital platforms for small businesses, building production pipelines for fraud detection in payments and account opening. Three years later, realizing how fun it used to be to analyze satellite imagery from deep space, he joined the machine learning team at Planet. Since then, he has been engineering computer vision systems to perform scalable operations on Earth’s imagery, such as feature classification, content-based indexing, time series change and cloud opacity regression.
TALK:
Planet is a young SF-based company that has rapidly become one of the world’s leaders in agile aerospace. We design, manufacture and operate Earth-imaging satellites. In the last few years, we have launched almost 300 of them into orbit, representing the largest constellation in history. These satellites are able to map the entire world, every day, at a resolution of 3.5 meters per pixel. While this imagery is available for visual exploration, only computers can feasibly “see” all of it. To this end, we are building machine learning pipelines that are able to process this vast amount of data and deliver answers about what is happening in the world. During this talk, I will give an overview of Planet’s satellites, walk through uses of our data and discuss various applied deep learning methods. We will touch on feature classification, localization, segmentation and time series, plus a few lessons learned from developing resource-heavy workflows.
Agenda:
6:00 PM - 6:30 PM Networking
6:30 PM - 7:30 PM Explore Applications of Deep Learning
7:30 PM - 8:00 PM Post-event Networking
Organized By:
Silicon Vally Data Science Practitioners
A group that creates a platform for people who are interested in Data Science and Artificial Intelligence to learn and network.
Special Thanks To:
Google Developers Launchpad
Launchpad is a global mentoring program that helps startups build and scale great products by matching them with the best of Google - its people, network, and advanced technologies.
show less
Date/Times:
301 Howard Street, 4th Floor, San Francisco, CA 94105
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