Browsed by
Category: data science

What is Reinforcement Learning?

What is Reinforcement Learning?

Reinforcement learning is based on reinforcement theory in which a combination of reward and/or punishment is used to reinforce the wanted behavior or extinguish unwanted behavior. Software agents interact with the environment. In reinforcement learning agents can automatically figure out how to optimize their behavior given a system of rewards and punishment. It draws inspiration from behavioral psychology. It has applications in many fields. Such as: Economics Genetics Game Playing In 2016, reinforcement learning was…

Read full Article Read More

What is Computer Vision ?

What is Computer Vision ?

Computer Vision is a field in Artificial Intelligence and Computer Science that deals with giving the computer a high-level understanding of the real world. In other words, it tries to mimic the real world like human do from digital images or videos. The major steps in Computer Vision are: Image Acquiring Image Processing Image Analysis and understanding Image Acquisition The process of translating analog data into digital binary format ie. 0 or 1 that is…

Read full Article Read More

What is Bias-Variance Tradeoff?

What is Bias-Variance Tradeoff?

Bias/Variance Tradeoff is a concept in machine learning which refers to the problem of minimizing two major sources of errors at the same time and prevent the supervised learning algorithms from generalizing to accommodate inputs beyond the original training set. The two error sources here are: Bias Variance Sources of Error Bias Error (Underfitting): In case of underfitting, the bias is an error from a faulty assumption in the learning algorithm. This is such that…

Read full Article Read More

What is Unsupervised Machine Learning?

What is Unsupervised Machine Learning?

Unsupervised learning is like you only have input variables and no corresponding output variables. It means the dataset is unlabeled or same labeled, unlike supervised learning.¬† The goal of unsupervised machine learning technique is to find similarities/patterns in the data points and group similar data points together. For example, grouping a crowd based on the color of the shirt/ t-shirt they are wearing, or skin color or hair category or gender etc. Unsupervised learning is…

Read full Article Read More

What is Supervised Machine Learning?

What is Supervised Machine Learning?

As the name suggests Supervised means there is some supervision in the learning methodology. It is like learning from the teacher or having supervision from the master. The machine learning technique in which well-labeled data is used to classify or predict the correct output by learning from the previous similar attribute in the data. Well labeled means data has an input-output sequence. For this at first, some example training dataset is fetched to create a…

Read full Article Read More