Reinforcement Learning is a fascinating machine learning technique, which differs from the other techniques of ML. In reinforcement learning, the actor(Agent) has to continuously interact with the environment to make decisions, which results in some sort of feedback. In a…
Reinforcement Learning is a type of machine learning technique where an agent learns to make decisions based on its surroundings by performing some actions in the environment. For every action it performs, it receives a reward or a penalty. The…
Machine Learning is a growing technology supporting many applications in almost every field. Covering subsets like Deep Learning, machine learning is the study and development of computer machines that learn and adapt to provided data to generalize new data. ML…
Imagine you want to conduct in-depth research about the state-of-the-art machine learning models, and their applications, and implement one of the prominent applications yourself from scratch. You know which machine learning model you would use, and what you want to…
There is no doubt that deep learning is taking over the world with its advanced applications like next-word prediction and autonomous vehicles. Deep Learning is used almost everywhere in this era. Fortunately, deep learning also has many networks we can…
Information theory is the study of general collection, storage, and transmission of information. It leverages many concepts such as entropy, to efficiently communicate the information. Kullback-Leibler Divergence (KL Divergence) is one such metric used in information theory to quantify or…
Data is considered a collection of facts and statistics put together for research and analysis. It is always said that data can take many forms. I’m sure we all have our experiences with structured, unstructured, and even big data. Did you come…
url – entropy in decision trees Various machine-learning algorithms are being used everywhere. From being used to make decisions in business, to being used in Finance, Healthcare, and marketing industries to predict, classify, or detect any fraud or a potential…
Statistics and Mathematics are growing more and more crucial for understanding today’s high-end technologies such as Data Science and Machine Learning. Achieving a thorough understanding of these mathematics concepts is important to understand many complex algorithms easily. The binomial coefficient…
Artificial Neural Networks or simply neural networks-NNs are being used by machine learning engineers for tasks so simple as classifying images using Convolutional Neural Networks(CNN) to using Recurrent Neural Networks (RNN) that can remember past information to deal with time…