With 2024 behind us, it's time to pause, reflect and ask yourself: What did you learn last year and how will you carry this with you into 2025? https://bit.ly/42CjkdP
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With 2024 behind us, it's time to pause, reflect and ask yourself: What did you learn last year and how will you carry this with you into 2025? https://bit.ly/3CxxF0e
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With 2024 behind us, it's time to pause, reflect and ask yourself: What did you learn last year and how will you carry this with you into 2025? https://bit.ly/42wgFSQ
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With 2024 behind us, it's time to pause, reflect and ask yourself: What did you learn last year and how will you carry this with you into 2025? https://bit.ly/42vhV8z
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With 2024 behind us, it's time to pause, reflect and ask yourself: What did you learn last year and how will you carry this with you into 2025? https://bit.ly/4jwS3iN
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With 2024 behind us, it's time to pause, reflect and ask yourself: What did you learn last year and how will you carry this with you into 2025? https://bit.ly/3WHTC3v
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When we’re trying to figure out the odds of something happening, we often lean on the representativeness heuristic. It can help us out, but it can also lead us astray... To learn more scroll through an excerpt below👇or check out the full article here 👉 https://lnkd.in/eZukmvM2
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How AI and our own ways of making decisions may conflict: "As people, conjunction fallacy occurs when we assume multiple things are more likely to co-occur than a single thing on its own. Statistically speaking, this is never the case, but the representativeness heuristic may convince us so. Machine learning has optimized categorization by relying on statistical patterns and base rates to sort information. However, humans still succumb to the representativeness heuristic while interpreting these outputs. For example, the #healthcare system has adopted AI technology to help diagnose patients by scanning medical images and running comparisons to thousands more in their dataset. Doctors may be more inclined to trust AI’s diagnosis if the symptoms match a disease's prototypical description. However, doctors might dismiss #AI diagnoses if these do not align, even though the AI has much more access to rare or unusual presentations of symptoms in their files than doctors may have experienced in their careers."
When we’re trying to figure out the odds of something happening, we often lean on the representativeness heuristic. It can help us out, but it can also lead us astray... To learn more scroll through an excerpt below👇or check out the full article here 👉 https://lnkd.in/eZukmvM2
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Learn how you can lose weight naturally. Click the link to watch a free video: https://lnkd.in/gmT5hC5u
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What name would you give 2024? I find this question deeply meaningful! I like to take time with it. Here are some of my 2024 reflections - https://lnkd.in/dJTMsV7q Wishing you an outstanding 2025!
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Here’s something to consider: start reviewing how your 2024 looks compared to 2023 and the direction you moved in. Reflecting on the past is necessary to understand the present and plan for the future!!! We’ve got this 💪🏽💪🏽💪🏽💪🏽 #rootingforyou
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