AI

AI: Rational Agents and Operating Environments

Reading Time: 3 minutes Introduction In our previous blog on understanding the basic AI concepts, we touched upon the creation of Rational Agents. Concept of rationality can be applied to wide variety of agents under any environments. In AI, these agents should be reasonably intelligent. The AI, much touted about today is a lot of smoke without fire. The goal is to create an Intelligent Agent which can behave Continue Reading

Yes, you can do it without AI

Reading Time: 4 minutes AI in the modern day has become a buzz word. No company, be it in technology space or not, wants to be left behind and be in a state of FOMO. Interestingly from a buzz word status, Mariya suggested AI is like teenage sex: everyone talks about it, nobody knows how to do it, everyone thinks everyone else is doing it & so claims to Continue Reading

MachineX: Heart Diseases detection using Machine Learning

Reading Time: 4 minutes In this blog, we will be going to see how we can use machine learning and data science to detect or to predict potential Heart Diseases. Introduction Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmias) and heart defects you’re born with (congenital heart Continue Reading

MachineX: Evaluation Metrics for Classification Models

Reading Time: 5 minutes In our last blog post, we have looked at various evaluation metrics for the regression model. Continuing on this we will take a look at the evaluation metrics used for classification models. Classification is about predicting class labels given input data. In binary classification, there are two possible output classes whereas in Multi-class classification we have more than two possible output classes. We are going Continue Reading

MachineX: Diabetic retinopathy detection using AI

Reading Time: 3 minutes In this blog we are going to discuss about diabetic retinopathy and how can we prevent it by using Artificial intelligence. Diabetic retinopathy is a diabetes complication that affects eyes. Damage to the blood vessels of the light-sensitive tissue of the retina causes this complication. Diabetic retinopathy (DR) is a leading cause of vision-loss globally. Approximately one-third of 285 million people with diabetes mellitus worldwide Continue Reading

Boosting medical diagnosis with Klickare

Reading Time: 4 minutes In this blog, we are going to see how KlicKare can boost up medical diagnosis by using deep learning. Medical diagnostics are a category of medical tests designed to detect infections, conditions, and diseases. These medical diagnostics fall under the category of in-vitro medical diagnostics (IVD) which be purchased by consumers or used in laboratory settings. Biological samples are isolated from the human body such Continue Reading

MachineX: Medical Image Analyses for Malaria Detection

Reading Time: 9 minutes In this blog we will see the implementation of a neural network which will help us to detect malaria in a blood sample. In our previous blog MachineX: Malaria detection using Artificial Intelligence , we had talked about why Ai is important to make it more accurate and how. Now before we begin, I’d like to point out that I am neither a doctor nor Continue Reading

MachineX: Malaria detection using Artificial Intelligence

Reading Time: 5 minutes In this blog we will talk about why Malaria detection is important to detect early presence of parasitized cells in a thin blood smear. Introduction Malaria is a deadly, infectious mosquito-borne disease caused by Plasmodium parasites. These parasites are transmitted by the bites of infected female Anopheles mosquitoes. While we won’t get into details about the disease, there are five main types of malaria. Let’s Continue Reading

Is Machine Learning In Banking Sector The Most Trending Thing Now?

Reading Time: 4 minutes Have you ever imagined a world without Banks? Just try it, and you will find it very difficult to live in a world without banks. Banks are one of the most important parts of the financial economy of any country. On the other hand Machine Learning and AI are one of the most trending technologies these days.  In this blog we will be discussing different Continue Reading

MachineX: Alphabets of PyTorch (Part 1)

Reading Time: 6 minutes Overview In this blog, you’ll get an introduction to deep learning using the PyTorch framework, we will see some basics of PyTorch. Introduction to PyTorch PyTorch is a Python machine learning package based on Torch, which is an open-source machine learning package based on the programming language Lua. Two main features: Tensor computation (like NumPy) with strong GPU acceleration Automatic differentiation for building and training Continue Reading

MachineX: Image Data Augmentation Using Keras

Reading Time: 4 minutes In this blog , we will focus on Image Data Augmentation using keras and how we can implement same. Problem When we work with image classification projects, the input which a user will give can vary in many aspects like angles, zoom and stability while clicking the picture. So we should train our model to accept and make sense of almost all types of inputs. Continue Reading

MachineX: Importance of ML/AI in Healthcare

Reading Time: 3 minutes Folks, In this blog I will going to explain the importance of ML/AI in healthcare sector.  First of all, I just want to share some statistics regarding the expenditure on healthcare by the people of different countries. Here is a list of a few BRICS and newly industrialized nations with their per capita expenditure on health. Here we can see in case of India only Continue Reading