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What is Machine Learning?
What is Machine Learning?
A Machine Learning, ML, Model is basically a 'brain' that you train by giving it data, data could be pictures like cats and dogs, text or posts from social media, or any large amount of data. Then the 'brain' analyzes this data many times to learn from it, and once it is complete, it can make a prediction on new data, based on what it learned from the old data. This is an ML model that classifies images into one of two categories, cats or dogs.
Cats & Dogs Classifier
Cats & Dogs Classifier
Real Training Photos Used
This model classes images into one of two categories, cats or dogs. It's built using a special type of computer program called a Convolutional Neural Network (CNN), which learns by looking at lots of images. During training, it figures out what makes a cat different from a dog, like their shapes and patterns. The 'brain' adjusts its 'thoughts' using math to get better at telling them apart. Once it's learned enough, it can take a new picture and quickly decide if it's a cat or a dog.
It's a bit like training a dog to recognize friends from strangers, but in this case, it's the computer that's learning. You can see several images used to train this ML, this is only a very small percentage of the photos used, for this ML almost 50,000 photos were used!
Real World Applications
Real World Applications
Healthcare Diagnosis and Treatment: Machine learning plays a crucial role in improving healthcare outcomes. By analyzing a wealth of medical data, ML models can assist doctors in diagnosing diseases, predicting patient outcomes, and suggesting personalized treatment plans. Early disease detection and tailored treatments can significantly enhance patient care.
Recommendation Systems: Online platforms like Netflix and Amazon utilize ML to recommend personalized content and products to users. By examining user behavior and preferences, ML algorithms provide tailored suggestions, enhancing the user experience and increasing engagement.
Predictive Maintenance: Industries such as manufacturing and transportation use ML to predict when machines and equipment require maintenance. By analyzing data from sensors and other sources, businesses can identify potential issues before they lead to costly breakdowns. This proactive approach reduces downtime, increases efficiency, and ultimately saves costs.
Additional Resources
Additional Resources
To see the code that created my models, and the Cats and Dogs Classifier, visit my Git Repository!
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