Introduction of Machine learning

Machine learning probably one of the most interesting topics of 21st century..

But why?? Let’s figure it out..

What is Machine learning ?

Machine learning is a field of computer science is tries to teach computers how to learn so they can help humans to solve different tasks.

The nice thing is that computer should learn without being explicitly programmed to do that

Computers you know are pretty dumb.

Because computers just see 0s & 1s nothing more The App you are using now is just collection of 0s & 1s video games 0s & 1s

Everything from the easiest to the most complex task is just 0s & 1s (called bits) from them.

Machine learning is a subfield of artificial intelligence usually called AI

What does is to teach computers how to simulate intelligence in order to behave like human.

many different aspects of intelligence are studied each one expanding in a particular subfield.

Where ML ?

Machine learning can be seen as the part of artificial intelligence that allow computers to take as input some data and make decisions by learning from it Every time there is something to learn from the data ml comes to the rescue! IT can be something easy like deciding if it’s raining based on the humidity outside or it can be something difficult like telling review on a website is positive or negative.

ML Algorithms ?

A set of rules. Or instructions is called Algorithm.

Supervised learning
Unsupervised learning
Reinforcement learning
Deep learning
- And more..

What is supervised learning ?

Supervised learning is a process of providing input data as well as correct output data to the machine learning model.

What is unsupervised learning?

Unsupervised Learning is a machine learning technique in which the users do not need to supervise the model. Instead, it allows the model to work on its own to discover patterns and information that was previously undetected. It mainly deals with the unlabelled data.

What is reinforcement learning ?

Reinforcement learning is the training of machine learning models to make a sequence of decisions. The agent learns to achieve a goal in an uncertain, potentially complex environment. In reinforcement learning, an artificial intelligence faces a game-like situation. … Its goal is to maximize the total reward.

What is Deep learning ?

It is a subfield of Machine Learning that uses Artificial Nural Network (ANN) to make decisions.

Which programming language is Used ?

Most of the Time Many ML Engineer and Developer suggests PYTHON programming language because there is many inbuilt libraries written or it easy to understand ,Beginner friendly.

Extra requirements.

1. Statistics ,Calculus, Linear Algebra and Probability. Statistics contain tools that are used to get an outcome From data.

2. Programming knowledge being able to write code is one of the Most important things when it comes to Machine learning

3. Data modeling. You have to familar with Exel graphs 📉 database ..

How does it Work ?

We Teach Machines with the help of Numbers.Machine learning can be seen problem in a Simple way. Of formulating real world Problems into simple mathematical Problems.The important thing to remember is that at the core of every Algorithm in Machine learning there are only Numbers.

And if seems too strange to be true Take some simple problems and try to think about A way to Translate it into Maths.

ML is useful or Not ?

Yes Machine learning is Useful.

machine learning is really useful but if we wanted to solve problems in fact Nowdays ML is used for many cases we could but there is something important to understand about Machine learning.

it’s main purpose is to solve difficult problems without the help of Human.

It has been developed in order to overcome the fact that many tasks require knowledge that few people have.

Machine learning needs Data..

ML needs lots of data to be able to work like thousands and thousands samples frequently millions .

This was a problem in the past as not much digital data was avaliable.Nowdays we have a huge ammount of data avaliable on the internet.we are living in the Big data era.

Big data is term that indicates the high avaliability of data of some sort, in our case in digital format.e.g images,videos,songs everything is largely avaliable to us.

Future of Machine Learning ?

The machine learning market is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.

“Artificial Intelligence and Machine Learning have reached a critical tipping point and will increasingly augment and extend virtually every technology enabled service, thing, or application.”

In short machine learning is a very popular technology and the future of machine learning is bright and there as many opportunities for startups for doing new things.