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Asked by Bhawna Last Modified
Answer 
So, is Data Science/Machine Learning/AI overhyped right now? In short, no. While there is definitely a lot of hAnd while there are still some challenges to overcome, the hype is not unwarranted. These technologies are here to stay and the potential is only going to continue to grow.
read lessIndustry Enthusiasts: ML is gaining deserved recognition for its real-world impact and problem-solving potential.
Skeptics: Some aspects, especially deep learning, might be overhyped, leading to inflated expectations.
Media and Popular Culture: Sensationalized portrayals often emphasize AI's transformative potential without addressing limitations.
Ethical and Social Implications: Concerns about biases, privacy, and unintended consequences suggest a need for balanced perspectives.
read less
Industry Enthusiasts: ML is gaining deserved recognition for its real-world impact and problem-solving potential.
Skeptics: Some aspects, especially deep learning, might be overhyped, leading to inflated expectations.
Media and Popular Culture: Sensationalized portrayals often emphasize AI's transformative potential without addressing limitations.
Ethical and Social Implications: Concerns about biases, privacy, and unintended consequences suggest a need for balanced perspectives.
read less
Yes,
Industry Enthusiasts: ML is gaining deserved recognition for its real-world impact and problem-solving potential.
Skeptics: Some aspects, especially deep learning, might be overhyped, leading to inflated expectations.
Media and Popular Culture: Sensationalized portrayals often emphasize AI's transformative potential without addressing limitations.
Ethical and Social Implications: Concerns about biases, privacy, and unintended consequences suggest a need for balanced perspectives.
read less
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