Thread by @Sauain

𝗜𝗻𝘁𝗿𝗼 𝘁𝗼 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 💡

Let me introduce you to the absolute starting of Machine Learning

-What is ML?
-Its types
-Some real-world applications

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗠𝗟? 💻

I have said this earlier too that I have done various ML courses but one of the best definition is from Andrew Ng course-

"Machine learning is the science of getting computers to act without being explicitly programmed."

𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴

-Supervised
-Unsupervised
-Reinforcement
-Semi-supervised

𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 💬

If the input is square, triangle, and hexagon.

We trained the model that -
4 sides = square
3 sides = triangle
6 sides = hexagon

and when we test on new data it already knows how to predict and it does on basis of number of sides.

𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 📈

Here we do not classify/label data.

For example, if watermelon and apple are mixed together.

Algorithm will create two clusters and learn from data itself that apple is small red and watermelon is big green etc.

𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 🤖

The concept of RL is so simple.

It is basically like training your pet to do tricks.

If it does it correctly you reward otherwise you punish and on the basis of feedback from the environment, it learns.

𝗦𝗲𝗺𝗶-𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 🔎

In the real world, there are many datasets that are neither completely labeled nor completely unlabeled.

Therefore both supervised and unsupervised learning are not the best training methods here.

S-S works on both.

𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝗠𝗟 ✅

-Voice Assistants (Alexa, Siri, etc)
-Virtual Chatbots(Zomato, swiggy, amazon Customer Care complaint)
-Tesla Driverless Car
-Weather Prediction
-Netflix Movie Recommendation

Hey all, hope you all are learning something new from my threads.

I daily post threads about ML, Python, etc.

If you like my content, give retweet to the first tweet of the thread :)

Thanks !!