5 Different Ways To Reduce Noise In An Imbalanced Dataset

Experienced data science and machine learning experts know that imbalanced class distribution is one of the most frequently encountered problems in data science. It occurs when the number of observations belonging to one class is significantly lower than those belonging…

Why And How Data Science Is More Than Just Machine Learning

Many often we use the terms Data Science and machine learning interchangeably. However, while there is an overlap between the two, they are distinct from each other in terms of roles and responsibilities. Data Science is a field that has…

Gurgaon Startup Veratech Is Disrupting Data Intelligence Market With ML Solutions

Data Intelligence solutions startup Veratech claims to have found the answer to the long and arduous process of conducting due diligence. Using the power of ML and data gathering algorithms, Veratech aims to provide their clients with 100% accurate data…

To Code or ETL: ETL Programming Vs Hand-Coded Programming

There has been a common debate surrounding automated ETL programming and hand-coded programming in an organisation. ETL stands for Extract Transform Load which is a procedure in the process of data preparation. The job is to integrate and make the…

This 8-Month-Old Startup Has Already Achieved A Facial Recognition Accuracy Of 94%

Facial recognition is growing as a major research area as it has a wide range of applications across various sectors, including critical applications like criminal detection, border security, and paperless airport check-ins, among others. It is one of those technologies…

Significance Of Transfer Learning In The World Of Deep Learning

A lot of data and a lot of work goes into training models in machine learning. The cost of the model training also becomes very high if the model becomes complex. Complex machine learning models can only be made with…

PyTorch vs Keras: Who Suits You The Best

PyTorch and Keras are both very powerful open-source tools in Deep Learning framework. Usually, beginners struggle to decide which framework to work with when it comes to starting a new project. According to a recent survey by KDnuggets, Keras and…

What Makes Neural Networks Hallucinate?

Researchers at the University of California, Berkeley and the Boston University have dug deep into the process of how deep neural networks generate ‘hallucinations’ while trying to create captions for images. By hallucinating we mean that neural networks often give…

When Deep Learning Models Have A Bird’s Eye View Of Humans

Human features as objects of study have been widely used in various machine learning applications — be it face detection, video surveillance or even the development of autonomous cars. In fact, the task of ascertaining human features becomes the major…

More than 1,00,000 people are subscribed to our newsletter

Subscribe now to receive in-depth stories on AI & Machine Learning.