Imagine a passionate student, starting their journey to become a data scientist. At first, they immerse themselves broadly e.g. mathematics, programming, SQL, statistics, and machine learning fundamentals. Their early learning is wide and deep but not yet specialized for real-world
ChatGPT: Unpacking the constructs ChatGPT is quite a popular LLM (Large Language Model) that is widely used these days across various lines of engagement from article editing (no need to write a fresh, just edit generated text), coding prototypes (e.g.
Machine Learning coding is considered to be the easiest of all coding landscapes whether you choose Python, Java, or R . We are aggressively moving to the era of minimum coding with maximum efficiency where we have tons of endpoints,
AI explainability (XAI) continues to challenge business to explain underlying reasons of a ML model behavior. With the advancement of various algorithm such as DL (Deep Learning – ANN, RNN, CNN, GPT, LSTM etc.) predictability has been increasing while inferabilty/explainability
XAI demand continues to grow across all industries primarily in finance and medical science. Before we decline loan, increase EMI amount or suggest some medical treatment (as a proactive measure), we need to have all pertinent data, indicators and logic
Up until last article, I discussed about SVM and its underlying mathematics using very simple linear separable dataset involving only two features (), thereby expressing the effect of classifier in simple XY coordinates. SVM is one of the most successful
As discussed in previous part, we continue building intuition before jumping into its (SVM) underlying mathematics. Please read previous part before reading this post. Our goal is to find the optimal hyperplane (it could be line, plane or hyperplane depending
Machine learning (ML) is the heart of AI products (Alexa, Siri, Cortana, Driverless Car etc.), algorithms are the core component of ML and mathematics is brain behind these algorithms. While data scientists can build model without requiring to deep dive
Introduction: Deriving meaningful information out of heap of data is the minimal requirement for any establishment today for its survival & sustenance. There are many terminologies and buzz words related to this area that blurs the meaning leaving people confused,
Fintech industries have been catching up quite well in blending advance analytics with RPA (Robotic Process Automation) implementation in its business process in the journey of digital transformation. Human time is too expensive to be wasted in carrying out mundane and
