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Have you ever wondered how shopping websites always suggest and send messages of products that match your taste? 
https://abs.twimg.com/emoji/v2/... draggable="false" alt="🤔" title="Denkendes Gesicht" aria-label="Emoji: Denkendes Gesicht"> Stay with us to find out why....
let’s know what machine learning(ML)is
It is a subset of artificial intelligence that is concerned with studying computer algorithms that improves automatically with experience,which enables computers to learn from their environment and make predictions without human interaction
It is a subset of artificial intelligence that is concerned with studying computer algorithms that improves automatically with experience,which enables computers to learn from their environment and make predictions without human interaction
Types of machine learning : https://abs.twimg.com/emoji/v2/... draggable="false" alt="🖥" title="Desktop-Computer" aria-label="Emoji: Desktop-Computer">
- Supervised learning
-Unsupervised learning
-Semi-supervised learning
-Reinforcement learning
- Supervised learning
-Unsupervised learning
-Semi-supervised learning
-Reinforcement learning
There are 5 steps in making an ML task
can you guess the first step from this picture?
can you guess the first step from this picture?
You’ve probably guessed providing security well yeah this verification image can be used for that reason, but interesting to know it’s used in Data collection, the first step in ML, where it’s used to gather image data.
like the traffic light here from Users to teach machines different types of the traffic light or any image.
Step2: Preparing, cleaning, and manipulating the data
Step3: Preparing the model: here, we choose the appropriate algorithm and representation of the data. the cleaned data is split into two part the first part is called (training data) where it’s used in the development of the model .
And the second part is kept as a reference to test the model and it’s called (testing data)
Step4: Evaluating the model
Step5: Improving the performance
Step4: Evaluating the model
Step5: Improving the performance
ML primarily depends on algorithms here are some common ones
https://abs.twimg.com/emoji/v2/... draggable="false" alt="📌" title="Reißzwecke" aria-label="Emoji: Reißzwecke">Decision trees
https://abs.twimg.com/emoji/v2/... draggable="false" alt="📌" title="Reißzwecke" aria-label="Emoji: Reißzwecke"> Linear regression
https://abs.twimg.com/emoji/v2/... draggable="false" alt="📌" title="Reißzwecke" aria-label="Emoji: Reißzwecke">Logistic regression
https://abs.twimg.com/emoji/v2/... draggable="false" alt="📌" title="Reißzwecke" aria-label="Emoji: Reißzwecke"> Rainforest
https://abs.twimg.com/emoji/v2/... draggable="false" alt="📌" title="Reißzwecke" aria-label="Emoji: Reißzwecke">SVM
There are a variety of ML applications as you can see in the picture
So now you know why recommended products always catch your attention it’s due to the great ML.
