As companies are becoming more and more data-driven with more focus on building machine learning teams and creating models, it’s important to understand the challenges that ML projects present in o...

In the history of engineering and machine learning, choosing transparent models that are interpretable for humans or end-users is essential. Practically, it means using transparent data sources and...

In the era of digitalization, Most companies have various sources of customers feedback, social media, call logs, mobile apps, to name a few. Therefore, analyzing such feedback to come up with act...

Bayesian Optimization is a useful tool for optimizing an objective function thus helping tuning machine learning models and simulations. Instead of using standard approaches like random search or g...

Human Activity Recognition (HAR) plays an important role in real life applications primarily dealing with human-centric problems like healthcare and eldercare. It has seen a tremendous growth in th...

Music genre classification has been an interesting problem in the field of Music Information Retrieval (MIR). In this tutorial, We will try to classify music genre using hidden Markov models which ...

In this tutorial, we will design and implement a deep learning model that learns to recognize digits from sign language. We will be using a convolution neural network built using Keras API and trai...