What is Butterfly Effect | Butterfly Effect in Data Science | Intellipaat #Shorts
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Get ready to explore the world of Data Science with our Intellipaat Podcast episode focusing on How Data Scientists Solves Business Problems.
In this video, our esteemed guest, Mr. Shivam Kotwalia, Ex-(Meta, McKinsey) will help us understand the concept of “What is the Butterfly Effect”, where he will discuss how every small axe eventually makes a very great impact.
Check out this Full Podcast Episode Below
✅ What is the butterfly effect in simple terms?
The idea that something small, like getting coffee, can have much larger effects, such as altering your career is called the butterfly effect. The butterfly effect rests on the notion that the world is deeply interconnected, such that one small occurrence can influence a much larger complex system.
✅ What is the butterfly effect in data?
In the context of AI fairness and bias, the Butterfly Effect can stem from a variety of sources, such as small biases or skewed data inputs during algorithm development, saddle points in training, or distribution shifts in data between training and testing phases.
✅ What is the butterfly effect in machine learning?
In the context of AI fairness and bias, the Butterfly Effect highlights the potential for small biases or skewed data inputs at various stages of algorithm development to result in significant and unexpected unfair outcomes.