Hierarchical Data Format(HDF) is a data storage technique that stores the data and the metadata of multiple files under a single file. The National Center for Super-Computing Applications(NCSA) has come up with this new storage format for the manipulation and…
File handling is one of the most fundamental concepts taught in any programming language course. Knowing how to open, read, and manipulate files and close them is important. Domains like machine learning and data science always require us to read…
Imagine you are working on a project that requires you to store lots of data, like a million rows and a hundred columns. Storing such enormous data in the form of a comma-separated-value(CSV) file, the traditional technique known to data…
Reinforcement Learning is a branch of machine learning that focuses on decision-making to maximize positive outcomes while successfully reaching a goal state. It involves performing certain actions through a trial-and-error method. Reinforcement Learning is used in many real-world applications like…
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…