Author: Shubham Goyal

TensorFlow Quantum: beauty and the beast

Reading Time: 4 minutes So, we are finally here, after a long wait, we are going to be in an era of quantum computing. TFQ, the beauty of TensorFlow and beast nature of quantum computing. Quantum computing is becoming a technology to observe more closely in 2020. We have seen some recent announcements from Honeywell, Google and others, it’s worth looking forward to new pieces of hardware coming this year. Now, Google has Continue Reading

MachineX: Sentiment analysis with NLTK and Machine Learning

Reading Time: 9 minutes In this blog, we are going to see how we can NLP library NLTK for sentiment analysis. Sentiment Analysis is a common NLP task nowadays. Every data scientist or a person working on data science needs to perform. Introduction to NLP Natural Language processing Natural Language Processing (NLP) is a subfield of artificial intelligence that helps computers understand human language. NLP enables machines to derive Continue Reading

MachineX: Anticipate Customer behavior for Retailing

Reading Time: 4 minutes In this blog, we are going to see the power of Customer behavior Anticipation and how it can derive the success of the retail sector. Nowadays, Machine learning is playing an important in the success of different sectors. we can talk about Healthcare, Finance, Manufacturing, Agriculture, now even in Education. Retail is one of the sectors, which is getting huge benefits from machine learning and Continue Reading

MachineX: Demystifying Market Basket analysis

Reading Time: 7 minutes In this blog, we are going to see how we can Anticipate customer behavior with Market Basket analysis By using Association rules. Introduction to Market Basket analysis Market Basket Analysis is one of the key techniques used by large retailers to uncover associations between items. It works by looking for combinations of items that occur together frequently in transactions. To put it another way, it Continue Reading

MachineX: The Power of Recommendation Engines

Reading Time: 4 minutes In this blog, we are going to talk about, what actually Recommendation Engines is and different types of same. You can see the full webinar, related to this blog here : Recommender Engines or Systems is one of the most mainstream utilization of data science today. They are utilized to predict the “rating” or “preference” that a user would provide for a thing. Pretty much 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: 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: Top 10 data Science use cases in Retail

Reading Time: 8 minutes In this blog, we will see some of the data science use cases in Retail industries and how it is transforming the customer experience. We are all aware of the troves of data, retail businesses generate on a daily basis. However, this repository of critical data is worthless if it cannot be translated into valuable insights into the consumer’s minds or market trends. While all 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

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