Featured Articles
Rajesh Yerremshetty Zero to Python Hero – Part 5/10: Essential Data Structures in Python: Lists, Tuples, Sets & Dictionaries
The fundamental way of storing, accessing and manipulating of data in python is data structures. Python provides an convenient and adaptable collection of objects to store and data and sort it in different ways, be it a list, a tuple,...
Read More
Naveen Pandey Top 5 Skills Every Engineer Should Learn in 2026
The world of engineering is changing faster than ever before. Technologies that were once futuristic like artificial intelligence, machine learning, and cloud computing are now driving industries forward. By 2026, the engineers who thrive won’t just be the one who...
Read More
Zero to Python Hero - Part 4/10 : Control Flow: If, Loops & More (with code examples)
A major element of any programming language is the capability to take decisions and repeat them -this is the so-called control flow. Control flow is a feature available in Python that enables us to have the control of how code...
Read More
Zero to Python Hero - Part 3/10 : Understanding Type Casting, Operators, User Input and String formatting (with Code Examples)
Type Casting & Checking What is Type Casting? Type casting (also called type conversion) is the process of converting a value from one data type to another. It’s like translating between different languages – sometimes you need to convert a number to...
Read More
Dynamic Programming in Reinforcement Learning: Policy and Value Iteration
The core topic of reinforcement learning (RL) Dynamic Programming in RL: Policy and Value Iteration Explained provides fundamental solutions to resolve Markov Decision Processes (MDPs). This piece teaches about Policy Iteration and Value Iteration alongside their mechanisms as well as...
Read MoreLatest Articles
Difference between Computer Vision and Machine Learning?
Computer Vision Computer vision is a newer and more advanced technology than machine learning, which researchers started developing in the 1950s. They continued working on this, but the technology wasn’t mature until recently. Computer Vision began as a simple two-dimensional tool, making it easier for scientists to recognize statistical patterns. It was in 1978 that…
Read MoreDifference between Logistic Regression and Support Vector Machine?
When working on classification tasks, it is important to comprehend the disparities between logistic regression and support vector machine (SVM), two prevalent machine learning techniques with distinct approaches and advantages. In this discourse, we will delve into the contrast between these two algorithms. Logistic Regression Logistic regression is a statistical method employed to model the…
Read MoreDifference between Linear Regression and Logistic Regression?
Linear regression and logistic regression are two of the most commonly used statistical techniques in machine learning and data analysis. Although both methods are used to predict outcomes, they differ fundamentally in their implementation and assumptions. In this article, we discuss the differences between linear and logistic regression. What is regression? Regression analysis is a…
Read MoreEnsemble Methods for Machine Learning: A Comprehensive Guide
Machine learning is a field that uses algorithms to analyze data and learn from it to make predictions and decisions. Ensemble methods are a set of techniques that have recently gained popularity due to their ability to combine several models and thus improve their predictive power. In this blog, we explore the concepts of ensemble…
Read MoreHow can Blockchain Improve Computer Vision Systems?
Blockchain technology is a decentralized ledger that records transactions. It is also a distributed database that can be used to store data in a secure and verifiable way. This allows the users to view and edit the data, but not make changes without the consensus of the network. Blockchain technology can be used for many…
Read MoreWhat are the Different Applications of NLP in the Real World?
NLP is a branch of artificial intelligence. It is used to analyze and understand human language. NLP has many applications in the real world that can be used for different purposes. Some of these applications include: Natural Language Processing (NLP) is a technique for understanding the sentiment in text. NLP can be utilized to identify…
Read MoreWhat is precision, Recall, Accuracy and F1-score?
Precision, Recall and Accuracy are three metrics that are used to measure the performance of a machine learning algorithm. The Precision is the ratio of true positives over the sum of false positives and true negatives. It is also known as positive predictive value. Precision is a useful metric and shows that out of those…
Read MoreWhat is bias and variance in Machine Learning?
When we talk about modeling, it’s important to understand the way models deal with errors (bias and variance). There are tradeoffs between how well a model can reduce these errors. Understanding the errors in your models can help you to avoid the mistake of overfitting and underfitting. What is bias? Bias is the average that…
Read MoreInteresting applications of blockchain in ML and NLP?
In recent years, the blockchain has been used to track and store information on a variety of applications. It can be used to store data about transactions, contracts or other records in a secure way. Blockchain is decentralized and not controlled by any single entity. This makes it an ideal technology for machine learning algorithms.…
Read MoreHow Blockchain Technology Improves Machine Learning?
Blockchain technology has the potential to improve machine learning by providing a decentralized platform to collect, store and analyze data in a secure and transparent manner. This means that data cannot be tampered with or changed without the owner’s permission, making machine learning algorithms more accurate and stable. One of the main advantages of blockchain…
Read MoreHow Blockchain can be used in Natural Language Processing?
The blockchain is a revolutionary technology which has the potential to change how we do business. It can be used in many different fields and industries, but one of the most interesting applications is in Natural Language Processing. The blockchain has the potential to revolutionize how data is stored and shared. It can store data…
Read MoreHow the Media Uses Image Processing to Enrich Visual Content?
The media industry is one of the most competitive industries today. The competition is so fierce that it has forced companies to come up with new ways of attracting their audience. One way they have been able to do this is by adding visual content to their articles. The use of image processing software has…
Read More