Dive into the world of bijectors with TensorFlow Probability and unleash their potential to create complex and expressive probability distributions! In this comprehensive guide, we explore the foundations of bijectors, their wide-ranging applications, and how to create custom bijectors for your specific needs. From transforming base distributions to enabling advanced…

Hey there, fellow data enthusiasts! Have you ever found yourself drowning in the sea of probability distributions and wished for a lifebuoy? Well, fear not, for today we’re diving into the marvelous world of Bayesian analysis and sampling techniques using Julia Turing – a lifesaver in the vast ocean of…

The result monad is a type of monad that is used to represent computations that may return a result or an error. It is often used as an alternative to exceptions for handling error conditions in functional programming. For an introduction covering Monad : Monad transformer is all you need …

If I were to summarize what Google Jax is, I would say it’s a heterogeneous mixture of Functional programming (FP) style and differentiable NumPy operations, running on accelerators. The familiarity of NumPy along with FP makes it special. Its side-effect-free way of doing things makes it safe, so to speak…

You are not alone if you often get frustrated by “duck typing” in Python. By duck typing I mean if something walks like a duck and quacks like a duck, then, for sure, it is a duck! The apparent laxity in Python type system or its absence thereof is a…

Have your Monads shake hands with each other Let me put it succinctly — monad transformers helps us combine operations of several monads into one single monad. Well, that is it. If it were as simple as said, you would not have a plethora of articles about monads and monads…

Before we start, let me ask you a question — when you encounter a complex problem, isn’t it tempting to start with basic building blocks and then gradually build up the solution? Well, I won’t blame you, so to speak. For someone who has spent a considerable time learning and…

“Laziness isn’t that bad….” In the previous pose(link below), I highlighted how functional programming simplifies the abstract idea of exploring graphs. I demonstrated one of the salient features of Haskell (a FP language) that unburdens us from explicitly managing states while gradually discovering paths between nodes. A holistic perspective into exploring graphs using functional programming Before we start, let me ask you a question — when you encounter a complex problem, isn’t it tempting to start with…medium.com

Harnessing power of AI to build a robust solar irradiation forecasting pipeline for efficient management and integration of solar energy in power grids. The demand for clean energy is rapidly increasing. The current pace of technological development makes it commercially viable to harness energy from sun, wind, geothermal and many…