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

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IT Corporate Trainer with 9 years of experience in Edu tech

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. read less
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Online Mathematics tutor with 6 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
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I am online Quran teacher 7 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....
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
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Yes, you can. But as we know very well machine learning needs some programming fundamentals as well. So you have to go through a little touch up of programming and algorithms.
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Hi, I will support based on your requirments.
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