Why do we need Machine Learning?

You might think about keeping up with the most recent technological advances if you haven't heard of machine learning (ML), deep learning (DL), or artificial intelligence (AI). These innovations are about to transform many different industries.

Consider that you manage a car dealership that sells both new and secondhand vehicles. Since you'll be adding the automobile's cost to your projected profit, determining the selling price of the new car shouldn't be difficult. Easy, huh?

What does it matter if someone wants to sell you their used car then? According to your past experiences, you might predict that the model, colour, mileage, dents, year of production, etc. of the car will be the first things you notice. You can calculate the current value of this car using these parameters, choose your target profit, and then sell the car to someone else.

What if you're new to this business or if you've already experienced financial loss as a result of inaccurate price calculations? There is only one thing you have: a list of used automobiles that have recently been sold, their prices, their conditions, and various other details about the car.

This resembles two scenarios. The first is that you could easily create a programme with some specific rules that states that the car's cost is estimated at $3,000 or you could even provide a range if the car's model is "X," year of production is "1997," and miles driven are between "20000" and "30000."

But it's obvious where this is going, no? To determine the price of the used car, you cannot extract all the characteristics that are offered. Even if you are an expert, the programme would need a tonne of rules to calculate the price in an effective manner.

In fact, Deep Learning is a subset of Machine Learning which is a subset of AI ML Certification.