ODSC Webinar Calendar

ODSC’s free webinar series serves to educate our community on the languages, tools, and topics of AI and Data Science


June 7th, 2018 at 1:00 PM PST (Pacific Time), 4pm EST, 9 PM GMT

Mat Leonard, Product Lead, Udacity

Quantifying Uncertainty: Bayesian Data Analysis in Python

 Hashtag #odscwebinar

 

Quantifying Uncertainty: Bayesian Data Analysis in Python

Humans constantly struggle with uncertainty, both in life and in data analysis. It’s impossible to collect all the relevant data to answer any particular question, so there is necessarily uncertainty in our analysis. As such, we need to quantify the uncertainty and from that judge our results. Traditional statistical methods (also called frequentist methods) such as hypothesis testing and confidence intervals often don’t address this appropriately. For example, we typically want to know the probability that a parameter falls in some range, but this type of analysis is unavailable from a frequentist perspective. Developing a statistical model with frequentist methods is often out of reach for typical data analysts so they are left asking “What test do I apply to this data?” rather than modeling their specific problem. Bayesian statistics offers a better approach to understanding the uncertainty in our data and answering the questions we want to ask. In a Bayesian framework, we combine prior knowledge with the data to produce a probability distribution that models and quantifies the uncertainty in the data. Using Python packages such as PyMC and Sampyl, the richness and clarity of Bayesian data analysis is available to anyone.

Presenter Bio - Mat Leonard, Product Lead, Udacity

Mat received a PhD in Physics from UC Berkeley where he studied the neural correlations of short-term memory in prefrontal cortex. During that time, he picked up Python, machine learning, and a love for education. He’s been at Udacity for over two years, developing content for various data science courses including the Deep Learning Nanodegree program. Mat is also the author of Sampyl, a Python library for Bayesian data analysis, and SeekWell, a library that improves the usage of SQL within Python.


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06/7/2018 1:00 PM
America/Los_Angeles
Quantifying Uncertainty: Bayesian Data Analysis in Python with Mat Leonard, Product Lead, Udacity

Click here for Webinar Access
Abstract: Humans constantly struggle with uncertainty, both in life and in data analysis. It’s impossible to collect all the relevant data to answer any particular question, so there is necessarily uncertainty in our analysis. As such, we need to quantify the uncertainty and from that judge our results. Traditional statistical methods (also called frequentist methods) such as hypothesis testing and confidence intervals often don’t address this appropriately. For example, we typically want to know the probability that a parameter falls in some range, but this type of analysis is unavailable from a frequentist perspective. Developing a statistical model with frequentist methods is often out of reach for typical data analysts so they are left asking “What test do I apply to this data?” rather than modeling their specific problem. Bayesian statistics offers a better approach to understanding the uncertainty in our data and answering the questions we want to ask. In a Bayesian framework, we combine prior knowledge with the data to produce a probability distribution that models and quantifies the uncertainty in the data. Using Python packages such as PyMC and Sampyl, the richness and clarity of Bayesian data analysis is available to anyone.

Register Here for June 7th




June 14, 2018 at 1:00 PM EST

Todd Sundsted, CTO at SumAll

Past, Present & Future: What Lies Ahead for AI

 Hashtag #odscwebinar

Abstract

While the industry is abuzz talking about the rise of artificial intelligence, the term itself is not new – in fact, the term AI was first coined in 1956 but fell off the radar after no monumental achievements were accomplished in the following years. But given recent advancements in analytics, visualization and machine learning, artificial intelligence has reemerged with a promising future. Yet the question remains – will it succeed this time around?

In this webinar, Todd Sundsted, the CTO of SumAll, will discuss the history of artificial intelligence, its ups and downs, and what it will take for it to be successful this time around. A recognized technology expert with a patent, published books and 25+ years of experience, Todd will explain the technical and strategic skills needed to manage and develop it correctly, and what he foresees for the future ahead.

Presenter Bio - Todd Sundsted, CTO at SumAll

Todd is a hands-on technical leader with 25 years of professional experience covering all aspects of software development and engineering. He currently serves as the CTO of SumAll – an award winning analytics and product automation tool used by brands like Qatar Airways, ToysRUs, the International Space Station and U2. Prior to SumAll, he was a Senior Engineer at Bloomberg where he led the development and launch of Bloomberg Government Mobile. He is a recognized technology expert and professional author, with a patent, books and published articles to his credit.


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06/14/2018 10:00 AM
America/Los_Angeles
Past, Present & Future: What Lies Ahead for AI with Todd Sundsted, CTO at SumAll

Go Here to Register for Webinar: https://register.gotowebinar.com/register/6515418225398527746
“While the industry is abuzz talking about the rise of artificial intelligence, the term itself is not new – in fact, the term AI was first coined in 1956 but fell off the radar after no monumental achievements were accomplished in the following years. But given recent advancements in analytics, visualization and machine learning, artificial intelligence has reemerged with a promising future. Yet the question remains – will it succeed this time around?

In this webinar, Todd Sundsted, the CTO of SumAll, will discuss the history of artificial intelligence, its ups and downs, and what it will take for it to be successful this time around. A recognized technology expert with a patent, published books and 25+ years of experience, Todd will explain the technical and strategic skills needed to manage and develop it correctly, and what he foresees for the future ahead.

Register Here for June 14th



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