Check out my collab with “Above the Noise” about Deepfakes: https://www.youtube.com/watch?v=Ro8b69VeL9U
Today, we’re going to talk about five common types of algorithmic bias we should pay attention to: data that reflects existing biases, unbalanced classes in training data, data that doesn’t capture the right value, data that is amplified by feedback loops, and malicious data. Now bias itself isn’t necessarily a terrible thing, our brains often use it to take shortcuts by finding patterns, but bias can become a problem if we don’t acknowledge exceptions to patterns or if we allow it to discriminate.

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#CrashCourse #ArtificialIntelligence #MachineLearning

Using previous pattern outcomes to help us begin to predict future outcomes.

Welcome to the Machine Learning for Forex and Stock analysis and automated trading tutorial series. In this series, you will be taught how to apply machine learning and pattern recognition principles to the field of stocks and forex.

This is especially useful for people interested in quantitative analysis and algo or high frequency trading. Even if you are not, the series will still be of great use to anyone interested in learning about machine learning and automatic pattern recognition, through a hands-on tutorial series.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

Using previous pattern outcomes to help us begin to predict future outcomes.

Welcome to the Machine Learning for Forex and Stock analysis and automated trading tutorial series. In this series, you will be taught how to apply machine learning and pattern recognition principles to the field of stocks and forex.

This is especially useful for people interested in quantitative analysis and algo or high frequency trading. Even if you are not, the series will still be of great use to anyone interested in learning about machine learning and automatic pattern recognition, through a hands-on tutorial series.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

Speaker Bio:
Dr. Sean Gourley is the founder and CTO of Quid. He is a Physicist by training and has studied the mathematical patterns of war and terrorism. He is building tools to augment human intelligence.

Description of Talk:
The speed of human strategic thinking is fundamentally limited by the biological hardware that makes up the brain. As humans we simply cannot operate on the millisecond time scale — but algorithms can, and it is these algorithms that are now dominating the financial landscape. In this talk Sean Gourley examines this high frequency algorithmic ecosystem. An ecosystem, Gourley argues, that has evolved to the point where we as humans are no longer fully in control.

About TEDx:
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

The programmes behind artificial intelligence are in almost every part of our lives, but there’s an emerging problem with them: algorithmic bias.

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This talk was presented at PyBay2019 – 4th annual Bay Area Regional Python conference. See pybay.com for more details about PyBay and click SHOW MORE for more information about this talk.

Description
Through a series of case studies, I will illustrate different types of algorithmic bias, debunk common misconceptions, and share steps towards addressing the problem.

Original slides: https://t.ly/9gO5k

About the speaker
Rachel Thomas is a professor at the University of San Francisco Data Institute and co-founder of fast.ai, which created the “Practical Deep Learning for Coders” course that over 200,000 students have taken and which has been featured in The Economist, MIT Tech Review, and Forbes. She was selected by Forbes as one of 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. Rachel is a popular writer and keynote speaker. In her TEDx talk, she shares what scares her about AI and why we need people from all backgrounds involved with AI.

Sponsor Acknowledgement
This and other PyBay2019 videos are via the help of our media partner AlphaVoice (https://www.alphavoice.io/)!

#pybay #pybay2019 #python #python3 #gdb

Ray Dalio and Garry Kasparov chat AI. Artificial intelligence is making more and more of our decisions for us. Is this capacity limitless or are there some things only human intuition can determine?

Wish you were here? Sign up for 2 for 1 discount code for #WebSummit 2019 now: https://news.websummit.com/live-stream

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