Machine learning
🤖 MACHINE LEARNING 🤖
Hai 🙋friends today we going to see what is machine learning so let's jump into the topic .for your convenience The article 📝broken into following section
⚙️What is machine Learning
⚙️ Supervised learning
⚙️ Unsupervised learning
⚙️Semi supervised learning
⚙️ Supervised learning
⚙️ Unsupervised learning
⚙️Semi supervised learning
Note:This article contains special characters, emoji. Without proper rendering support, you may see question marks, boxes, or other symbols.
What is machine learning?
Machine learning an application of artificial intelligence🤖 that provide system🖥️ ability to automatically learn and improve from experience without being explicitly programmed
The main aim of machine learning is allow the computer🖥️ learn automatically
"machine learning is the Science of Getting computer to act without being explicitly programmed"
- Stanford
there are many different types of machine learning algorithms but we going see main 3 of them
- Stanford
there are many different types of machine learning algorithms but we going see main 3 of them
There are many different types of machine learning algorithm but main algorithm learning are
1.supervised learning
2.unsupervised learning
3.semi-supervised learning
1.supervised learning
supervised learning are trained using labelled examples such as an input where the desired output is known .Example:
The task of teaching computer to identify the animal we will show computer a bunch of labelled picture to computer(example this picture is cat🐈) machine learning algorithm process the label and identify the animal is 🐈
you have bunch of molecules and information which are drugs🍾 and you train a model to answer whether new molecule is also a drug🍾
2.Unsupervised learning
unsupervised learning has no historical label 🕵️the system not told the right answer. Algorithm is figure out what is being shown .The goal to explore data and find some structure within.
In unsupervised learning, an AI system may group unsorted information according to similarities and differences even though there are no categories provided
Example
you have molecules, part of them are drugs🍾 and part are not but you do not know which are which and you want algorithm to discover the drugs🍾
For more details visit this website
Click here
Click here
3.Semi supervised learning
(So you guess what is semi supervised learning ,yes your guess is correct )
semi supervised learning it use both labelled and unlabeled data for training
used in classification ,preparation and prediction, complex voice recognition.
For more details visit the website
semi supervised learning it use both labelled and unlabeled data for training
used in classification ,preparation and prediction, complex voice recognition.
For more details visit the website
If you have time 🕝 then read my article about
1.what is artificial intelligence?
2. five programming language for artificial intelligence?
3. Conversation between me and Google self-driving car
If you like this blog then subscribe to my blog by dropping your email 📧 then only when i post new blog you get it on your mail📬
Friends don't forget to comment about this article.that help me to write better article please comment
Follow our community on Google+ click here
🙏Thank-you for visiting my blog🙏