Feature Engineering to make the data elegant and interpretable for the machine learning model

If you have some raw data and want to convert in into meaningful insight, feature engineering in machine learning is one of the best tools to help you. Imagine a real-life situation where you want to know how frequently a customer order food from your restaurant in order to offer best customer service. In such …

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Quantum computing, a superb technology advancement to supercomputers

Supercomputers are a class of high-performance systems comprised of multiple central processing units (CPUs) in order to achieve high computational rates. They achieve fastest performance at a given time by using vector arithmetic which enables the system to operate on pairs of lists of numbers instead of simple pairs of numbers. For instance, if we …

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Binomial Distribution

Introduction Probability distributions are cornerstones in the theory of machine learning. The entire field of machine learning is often theoretically viewed or explained from a probabilistic perspective. Compared to the linear algebraic point of view, the probabilistic perspective gives formulations of machine learning algorithms that are more impressive. Understanding probability distributions and their behavior are …

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Visualizing 3D Protein Structures and Exporting Into images Using Jupyter Notebook.

The Jupyter Notebook is best suited for doing as well as documenting empirical research. It can contain text, code images, videos, interactive content, and also nicely typesetting equations. This makes anyone doing simulations or empirical research prototype their work and share it with their colleagues. In this blog post, I am going to show how …

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Frequentist and Bayesian: A Quick Comparison Note

Frequentist and Bayesian are two schools of thought in probability theory. Let us look at the difference between them. Some of them are discussed below. Frequentist is objective and is not influenced by personal feelings or opinions in considering and representing facts​. But Bayesian is subjective, based on or influenced by personal feelings, tastes, or …

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matpotlib

Python Matplotlib Tip: Overlapping Curves and Multiple Axes

In STEM fields it is often required to communicate ideas using graphs or infographics. Many times the dimensionality of data will be higher and require clever hacks to represent so that the reader gets the idea quickly. There have been systematic studies on how to do data visualization effectively. For data scientists or machine learning …

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Open Research In Machine Learning

The culture and growth of scientific research in various domains are interesting to observe. For many decades traditional scientific research has been accessible or done in academia or research institutes. Each decade or century witnessed various sciences rising to the limelight. Once it was physical sciences, then it was biological science, the age of computers, …

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Spin Transfer Torque based Magnetic RAM: A stable promise to denser and faster memory

Dream for a computer storage device which performs as fast as static RAM (SRAM), delivers the cost effectiveness of dynamic RAM (DRAM), promises the non-volatility of flash memory, combined with added benefits of longevity, denser storage, durability and stability. Let’s discuss whether spin transfer torque based Random access Memory (STT-RAM) devices can help to realize …

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