Artificial intelligence

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: Welcome to TensorFlow 2.0

Reading Time: 3 minutes With the release of Tensorflow 2.0 we have taken another step towards machine dominating human dysphoria. Just kidding!!, this debate is for big people like Elon Musk, Mark Juckerberg or Jack Ma. We are just happy that Tensorflow 2.0 has been released and it will make our life a lot easier as 2.0 is being improved with consideration of freedbacks from its users. As part 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: AI in Manufacturing controlling Quality

Reading Time: 3 minutes Manufacturing is a very simple business. Here the owner buys the raw material or parts to manufacture a finished product. However, it’s a risky business in terms of selling the finished products. Supply too much and you flood the market, causing a drop in price and a drop in profits. By not meeting demand, the customer may go elsewhere with a drop in sales for Continue Reading

MachineX: Starts With Why ft. Convolutional Neural Network

Reading Time: 4 minutes If you are looking for a short answer, I would say real life image dataset are not small like MNIST to build a model with a fully connected neural network. But let’s produce some dopamine and explore the convolutional neural network a bit more in-depth. Our Visual Cortex focuses on certain areas to identify any image and similarly Convolutional Neural Network also focuses on the Continue Reading

MachineX: k-Nearest Neighbors(KNN) for Regression

Reading Time: 5 minutes Introduction K Nearest Neighbor Regression (KNN) works in much the same way as KNN for classification. The difference lies in the characteristics of the dependent variable. With classification KNN the dependent variable is categorical. With regression KNN the dependent variable is continuous. Both involve the use neighboring examples to predict the class or value of other examples. In this blog we will understand the basics Continue Reading

Machine X: Text Summarization in Python

Reading Time: 5 minutes In this blog, we will learn about the different type of text summarization methods and at the end, we will see a practical of the same. We all interact with applications that use text summarization. several of these applications are for the platform that publishes articles on daily news, amusement, sports. With our busy schedule, we have a tendency to choose to read the summary of this article before we decide to jump in for reading the whole article. Reading a summary help us to spot the Continue Reading

TensorFlow for deep learning Part 1

Reading Time: 3 minutes TensorFlow is a free and Open-Source Software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library and is also used for machine learning applications such as neural networks. It is used for both research and production at Google. TensorFlow was developed by the Google Brain team for internal Google use. Deep learning is a particular kind of Continue Reading

Protein Structure determination aided by Stochastic Search (Replica Exchange Monte-Carlo Method)

Reading Time: 8 minutes Introduction Proteins are large molecules, which occur in abundance in every single living organism. They carry out vital functions such as transporting oxygen, converting the food you eat into energy your body can use, and many more. Proteins are long chains of linked units called amino acids. There are 20 types of amino acids. Proteins fold into different shapes depending upon their sequence of amino Continue Reading

MachineX :k-Nearest Neighbors(KNN) for classification

Reading Time: 4 minutes In this blog, we are going to go through about one of the widely used classification algorithm called KNN (K-Nearest Neighbors). Since I started doing data science, I observed that most of the problems end up with classification model The main reason behind this biased property is, most of the analytic problems are based on decision making. For instance, to identify loan applicants as low, Continue Reading

MachineX: The alphabets of Artificial Neural Network – (Part 2)

Reading Time: 3 minutes If you are reading this blog, it is supposed that you have already done with Part 1 No???? Then visit to the previous blog The alphabets of Artificial Neural Network first and comeback here for an awesome knowledge about Neural network working. We got the basic understanding of neural network so let’s get into deep. Let’s understand how neural networks work. Once you got the Continue Reading

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