Since the emergence of machine learning the world has evolved a lot to accommodate AI systems in almost all sectors. One of the major sector that has seen tremendous improvements in the health care sector where machine learning has helped in solving some of the critical scenarios. Be it from analysing an x-ray to detection of tumours in vital organs, computer vision has helped a lot in the healthcare sector. In this article we will look at how we can leverage object detection to analyse fractures in human hands. If you see an x-ray sometimes you might not be able…


When you look into any social media platform you are most likely to see lot of recommendations from them like “Suggested for you”. These recommendations are mostly would be of your current interest or something that could interest you in the future depending upon your older similar interests. This sums up to the two major different methods by which most companies refer new products to their customers and they are:

  • Content based filtering: The recommendations by this method are highly in correlation with your subject of interests and their attributes. For example: Assume you like Arsenal football club and their…


In my previous post, I have written about how we can improve the process of shortlisting a candidate based on his resume skills and how an unsupervised learning algorithm can help the HR team. Let's now see how we can create a binary classifier model to predict the likelihood of a candidate being shortlisted. For this, we have used the following dataset which contains the details in a resume. We will incorporate the highly important features like work experience, educational details, certifications, relevant skills etc. …


Let us assume that you work in a big corporation and you are receiving a lot of resumes every day in your mailbox and you are frustrated by the number of resumes that you see and you can’t read through everything and filter them out and what more frustrates you is that you receive them in images rather than pdfs. Since images are non-searchable you can’t even try and search for keywords in them that would relate to the job that your firm has opened for. …


People tend to get fascinated when they get an answer to some question that they have. There are many ways to create a simple querying or Q&A system which can be deployed as a simple information application with a database running in the backend. Here I have tried to create a querying app using some of the popular packages in python.

What is a knowledge graph?

In simple words, a knowledge graph is a database in the form of connections between data points. The main attributes of the knowledge graph are nodes and edges. To create a knowledge graph from…


Introduction

The world of Natural language processing is recently overtaken by the invention of Transformers. Transformers are entirely indifferent to the conventional sequence-based networks. RNNs are the initial weapon used for sequence-based tasks like text generation, text classification, etc. But with the arrival of LSTM and GRU cells, the issue with capturing long-term dependency in the text got resolved. But learning the model with LSTM cells is a hard task as we cannot make it learn parallelly.

Transformers are alike to encoder-decoder based network with Attention layers at the end to make the model learn efficiently with the relevant context of…


Have you heard the word prophecy? If not let me tell you in a simple way. If some one tells you that you are the one who is going to save the world from a big destruction and it happened as such then that person is a prophet and he said a prophecy about you. Lets come to some real case where we are trying to forecast most of the demands in many sectors. One of them is the case of web traffic, where forecasting the demand of the traffic is a tricky one though. …


One of the talking points in the world of football apart from the pandemic was the functioning of VAR which was more inconsistent during that time and still it is. We can get to know the sentiment of people towards VAR if we get on to any social media platform. In this article, I am going to give you a brief method of how AI can actually help and make the decisions more consistently than the officials themselves. I am going to introduce you to two fantastic tools if you haven’t used them before yet.

  • Bing image download API —…

Tensorflow 2.3 has been released do please have a look in their website

When I used to look at my model sizes once training gets over I always gets frustrated because of the number it shows up. But no more worries as the machine learning world has developed immensely over the last decade. In this article, I will brief you through the methods of model optimization using TensorFlow.

Tensorflow is an open-sourced deep learning framework created by Google and it should be in the list of every machine learning researchers and aspirants. Arguably every new model is based out of either Tensorflow or Pytorch in this decade. Initially, there were other players in…


In this current world where everything is fast-paced and competent, Machine learning is something that assists for everything to happen as it is. You can see the applications of Machine learning everywhere nowadays, something that recognizes your face in unlocking a phone to an estimate of how long you can take to read this article which is mentioned in the top. So here I am just gonna try explain machine learning in simple words to someone who is very new to this word.

Source: Internet

One of the best way to explain how a machine learning algorithm works is to draw an…

Vishnu Nandakumar

Machine learning engineer, Arsenal Fan, Blogging and Graphic designing

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