Data is tricky to manage once the operations scale. It can grow exponentially, coming in from new sources, and becoming more diverse, which makes it increasingly challenging to process and find insights. Mature organizations like Google, Airbnb and Uber have
Is Machine learning the right tool for your problem?
In recent years, a specific area within the field of artificial intelligence known as machine learning has successfully emulated various aspects of human intellect. Machine learning-based computer programs have demonstrated their prowess by outperforming world champions in games like chess
Tools for building Strategic Resilience
As we enter the Post-COVID world, impending economic downturn takes hold in the business world. Organizations that were performing well well under normal conditions when black swan events like Covid disrupt the normal flow of things. In these scenarios organisations
Data Science Maturity Model: A Primer
In the past decade or so, businesses have realized that they can extract value out of the data they collect (e.g. user data and event data) to make data-informed decisions that replace the old model of deciding best argument
Beyond simulation, applying RL in real world: Challenges and Opportunities
Standard RL offers methods for solving sequential decision making problems (typically formalized by a Markov Decision Process) that involve Maximisation of reward/minimize cost over some time horizon (and where a model of the environment may or may not be
Transfer Learning in NLP
Language has historically been difficult for computers to ‘understand’. In NLP self-supervised learning, allows us to train models with a huge amount of unlabelled training data i.e., millions of sentences from the Internet (e.g. ), which saves a lot
Exploratory Data Analysis
The greatest value of a picture is when it forces us to notice what we never expected to see. -John Tukey In the bigger picture Data-driven science, we start by collecting a data set of reasonable size, and then looking
Counterfactual policy evaluation
Making Better Decisions with Offline Deep Reinforcement Learning Introduction: In the age of big data, we have massive amounts of data available at our disposal and it would nice if we could use some of that to make better decisions