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What are some real-world examples of applications of machine learning in the field?

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My teaching experience 12 years

Here are examples of machine learning at work in our daily life that provide value in many ways—some large and some small.1.Facial recognition. 2. Product recommendations. 3. Email automation and spam filtering. 4. Financial accuracy. 5. Social media optimization. 6. Healthcare advancement. 7....
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Here are examples of machine learning at work in our daily life that provide value in many ways—some large and some small.1.Facial recognition. 2. Product recommendations. 3. Email automation and spam filtering. 4. Financial accuracy. 5. Social media optimization. 6. Healthcare advancement. 7. Mobile voice to text and predictive text.

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Adobe Certified , Microsoft Certified Trainer with 9 years of experience

Here are examples of machine learning at work in our daily life that provide value in many ways—some large and some small.1.Facial recognition. 2. Product recommendations. 3. Email automation and spam filtering. 4. Financial accuracy. 5. Social media optimization. 6. Healthcare advancement. 7....
read more

Here are examples of machine learning at work in our daily life that provide value in many ways—some large and some small.
1.Facial recognition.
2. Product recommendations.
3. Email automation and spam filtering.
4. Financial accuracy.
5. Social media optimization.
6. Healthcare advancement.
7. Mobile voice to text and predictive text.

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Online Mathematics tutor with 4 years experience(Online Classes for 10th to 12th)

Here are examples of machine learning at work in our daily life that provide value in many ways—some large and some small.1.Facial recognition. 2. Product recommendations. 3. Email automation and spam filtering. 4. Financial accuracy. 5. Social media optimization. 6. Healthcare advancement....
read more

Here are examples of machine learning at work in our daily life that provide value in many ways—some large and some small.1.Facial recognition. 2. Product recommendations. 3. Email automation and spam filtering. 4. Financial accuracy. 5. Social media optimization. 6. Healthcare advancement. 7. Mobile voice to text and predictive text.

read less
Comments
Dislike Bookmark

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