ML TYPES Flashcards
What is supervised learning?
Here the machine is given training examples of inputs and their co-responding outputs so that when new data is given it can predict the new output.
How to train data in supervised?
The model gets trained on ‘labelled dataset’. Labelled dataset has both input and output parameters.
How does this training help?
We train the system with the data which is well labeled with correct output.
As the training period progresses, the algorithm is able to identify the relation between two variables. With this it can predict new output
What are types of supervised learning?
Classification and Regression
What is classification?
Predicts the output in form of category
What is the output variable in classification?
category
What are types of classification?
binary, multi-class
what is binary?
If the algorithm labels the input into two categories then it is binary classification
what is multi-class
If the inputs are sorted into multiple classes then it is multi-class classification
what is regression?
Aregression modelpredicts a numeric value.
what is the output variable in regression?
The output variable is a real value
The output variable is a single value
what is un-supervised learning?
Deals with the unlabeled data (photos, videos, audio etc.). No training dataset is provided to the the machine i.e., machine works on its own to discover information.
what is the goal of un-supervised learning?
An unsupervised learning model’s goal is to identify meaningful patterns among the data.
what is the goal of supervised learning?
The goal is to produce an accurate enough mapping system that when new input is given the system can predict the correct output.
is supervision required in unsupervised?
no
what does unsupervised learning work with?
unlabeled data and uncategorized data
give working of unsupervised learning?
- unlabeled data is given
2.fed to machine
3.model will interpret raw data to find hidden patterns
4.then is divides the obj into groups based on similarities and differences
how is data sorted in unsupervised?
Sorts data on the basis of similarities, differences and patterns.
what are types of un-supervised?
clustering and association
what is clustering?
grouping the objects into clusters such that objects with most similarities remains into a group and has less or no similarities with the objects of another group.
what is association?
finding the relationships between variables in the large database. It determines the set of items that occurs together in the dataset.
people who buy X item (suppose a bread) are also tend to purchase Y (Butter/Jam) item.
which is preferred?
unsupervised?
why is unsupervised preferred?
Unsupervised learning is preferable as it is easy to get unlabeled data in comparison to labeled data.
what is reinforcement learning?
Computer learns to perform a task through repeated trial and error interactions with a dynamic environment.
Designed to learn from continuous experience rather than data.
Rewards system.
what kind of system used in reinforcement learning?
rewards/penalty system
what method is used in reinforcement learning?
hit/trial
how does reinforcement learn?
through experience
what is artificial intelligence?
the process by which machines are able to mimic human behaviour through various algos.
its components are ML and DL.
it exhibits its intelligence using decision making
increase chance of success not caring about accuracy
efficiency = AI+ML
what is ML?
study method using statistical methods to improve with experience
subset of AL
exhibits intelligence when system learns from the data
increase accuracy not caring about success
efficiency < DL
what is DL?
study done using neural networks to imitate human learning
subset of ML
exhibits intelligence when deep neural networks analyse data and provide the necessary output
increases accuracy most out of the three
efficiency >ML
on what basis supervised learning models give correct output?
on the basis of the correct dataset provided
how does unsupervised model make predictions?
by giving it data that does not contain correct data or a unlabeled dataset
what is generative AI
creates content from user input
can take a variety of inputs and create a variety of outputs, like text, images, audio, and video.
