Amal Nair
98 Articles0 Comments

A Computer Science Engineer who is passionate about AI and all related technologies. He is someone who loves to stay updated with the Tech-revolutions that AI brings in.

Kannada Makes It To The Machine Learning World With A Full-Fledged MNIST Dataset

  The term MNIST is something that no machine learning enthusiast can avoid. MNIST is special in many ways, it is highly popular and hence widely explored and studied, it is open and easily available and it is not at…

Beginners Guide To Data Visualisation With Matplotlib

When it comes to Python and its visualisation capabilities, Matplotlib is undoubtedly the mother of all visualisation libraries. Matplotlib is a very popular library that has revolutionised the concept of making impressive plots with Python effortlessly. In our previous articles,…

An Introductory Guide To Time Series Forecasting

Time Series data is one of the most common types of data that is available today. The data can be about how a person’s salary changes over the years, it can be about how the value of INR compares to…

Beginner’s Guide To K-Means Clustering 

A very common example of an unsupervised machine learning, clustering is the process of grouping similar data points into a cluster. Given a finite set of data points, clustering aims to find homogeneous subgroups of data points with similar characteristics.…

How To Build A Generative Adversarial Network In 8 Simple Steps

In a field like Computer Vision, which has been explored and studied for long, Generative Adversarial Network (GAN) was a recent addition which instantly became a new standard for training machines. GAN is an architecture developed by Ian Goodfellow and…

MachineHack Winners: How These Data Science Enthusiasts Solved The ‘Predicting The Costs Of Used Cars’ Hackathon

MachineHack concluded its 15th successful competition by announcing winners for its recent hackathon Predicting The Costs Of Used Cars. This hackathon, sponsored by Imarticus Learning, was launched in June and received active participation from over 1,700 participants out of which…

How To Code Your First LSTM Network In Keras 

Normal Neural Networks are feedforward neural networks wherein the input data travels only in one direction i.e forward from the input nodes through the hidden layers and finally to the output layer. Recurrent Neural Networks, on the other hand, are…

Data Visualization With AWS QuickSight : A Beginner’s Guide

In one of our recent articles, we introduced Tableau and how to start making visualizations. In this article, we will look at another popular BI and visualization tool called the QuickSight.  QuickSight is Amazon’s tool for Data Analytics and is…

Introductory Guide To Real-Time Object Detection With Python 

Researchers have been studying the possibilities of giving machines the ability to distinguish and identify objects through vision for years now. This particular domain, called Computer Vision or CV, has a wide range of modern-day applications. From being used by…

Implementing Bayesian Optimization On XGBoost: A Beginner’s Guide 

Probability is an integral part of Machine Learning algorithms. We use it to predict the outcome of regression or classification problems. We apply what’s known as conditional probability or Bayes Theorem along with Gaussian Distribution to predict the probability of…

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