#92 Machine Learning & Data Science Challenge 92

PublishedFebruary 4, 2023

•1 min read

#92 Machine Learning & Data Science Challenge 92

Greetings.

I am a machine learning engineer based in India, possessing a sustained interest in machine learning since my undergraduate studies. I have completed Stanford University's machine learning course (Andrew Ng) via Coursera, and IBM's machine learning and deep learning curriculum. My current focus is on machine learning and data science projects, aiming to leverage my expertise for impactful, real-world problem-solving.

Part of seriesMachine Learning & Data Science Interview Challenges

What is the difference between stationery and non-stationary data?

Stationary:

A series is said to be "STRICTLY STATIONARY” if the Mean, Variance & Covariance is constant over some time or time-invariant.

Non-Stationary:

A series is said to be "STRICTLY STATIONARY” if the Mean, Variance & Covariance is not constant over some time or are time-invariant.

#machine-learning #data-science #2articles1week #programming-blogs #hashnode

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Machine Learning & Data Science Interview Challenges

Part 26 of 50

Machine learning and data science are increasingly among the most sought-after skills in tech. Read this article for advice on how to prepare for machine learning and data science interviews.

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A mountain hiker, space enthusiast, and technology aficionado who transitioned into a career as a data scientist.

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