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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,...
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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...
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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...
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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...
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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...
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Interesting 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 MoreWhat are the Practical Uses of Image Processing in the Medical Industry?
Image processing has been widely used in the medical industry for a variety of purposes. The most common use cases are diagnosis, treatment and image archiving. Machine vision in healthcare is a way to process medical data. It is a way for doctors to get more information about their patients. Machine vision in healthcare can…
Read MoreTop 5 Machine Learning algorithm used in Computer vision?
Every day, a computer vision system processes millions of photos, videos and other media. Progress in computational power and deep learning has led to major advances in the field of computer vision. These advancements have created new opportunities for computer vision that we can explore today. The 5 popular Machine learning algorithm in computer vision…
Read MoreHow to use Computer vision in Healthcare?
Computer vision is an emerging technology that is being used in medical fields for many applications. Some of the applications include imaging, point of care diagnostic testing and diagnosing diseases, surgical interruption, surgical navigation and analysis of MRI images. The technology has been used to automate many healthcare procedures like Triage and Augmented Reality surgery.…
Read MoreHow to use Computer Vision in Agriculture?
Computer vision is the ability of a computer to understand its environment by analyzing the images it captures. It has applications in many industries such as agriculture, manufacturing. In agriculture, computer vision is used for tasks such as crop classification, disease detection, pest identification, and weed recognition. This article will focus on some of the…
Read MoreWhat are the top 5 most popular libraries for image processing?
Image processing is a technique that captures, analyzes, and modifies images. It is widely used in various fields like medical imaging, remote sensing and digital photography. OpenCV is a free open-source library that gives you access to algorithms for all the computer vision and image processing procedures you might need. It is not just a…
Read MoreHow does a computer learn to recognize a face?
The technology behind face recognition is called computer vision. Computer vision is the science and technology that deals with how computers can be programmed to understand images and video in order to process them in some way. It is a branch of artificial intelligence that focuses on giving machines the ability to see, just as…
Read MoreWhat is semi-supervised Learning?
Semi-supervised learning is a technique in between supervised and unsupervised learning. Arguably, it should not be a category of machine learning but only a generalization of supervised learning, but it’s useful to introduce the concept separately. Its aim is to reduce the cost of gathering labelled data by extending a few labels to similar unlabeled…
Read MoreWhat is LSTM and How does it work?
One of the most common problems in RNNs is called gradient vanishing. LSTM architectures help you with this. A very common type of RNN is LSTM. This type of network is much better at capturing long-term dependencies than simple RNNs. The only unusual thing about LSTMs is the way that they compute the hidden state.…
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