Machine Learning Interview Question & Answers | Latest Interview Guide 2020


Hello Everyone, today we have come up with some key questions that you might encounter in a machine learning interview. If you are new to python then click Python Full Course For Free. If you want to pursue your career in Artificial Intelligence then click Machine Learning From Scratch course for free. Let’s begin Machine Learning Interview Question & Answers for now.

Used for various purposes such as developing, scripting, generation, and software testing, Python is mostly used in the field of Artificial intelligence. It is open-source, free, dynamic, portable, easy to code, and integrated language. Python can be integrated with other languages like c, c++, etc.) Python, being a cross-platform language, can run on various platforms like Linux, Windows, Mac, Raspberry pi, etc. This language is much efficient as developers are allowed to write a program with fewer lines of code.

Machine Learning is the science of getting computers to act by feeding them data and letting them learn a few tricks on their own without being explicitly programmed. Machine learning can be further classified into three types:

  • 1. Supervised Learning
  • 2. Unsupervised learning
  • 3. Reinforced Learning

Data Mining refers to the discovering of meaningful patterns and trends using some mathematical algorithms on a huge amount of stored data. Also, Data mining is the process of analyzing hidden patterns of data according to different perspectives for categorization into useful information, which is collected and assembled in common areas, such as data warehouses, for efficient analysis, data mining algorithms, facilitating business decision making and other information requirements to ultimately cut costs and increase revenue.

After the development of higher processing power like GPU, TPU in 10s, Deep Learning made huge jumps. Neural networks offered better results than other algorithms when used on the same data. Talking about the achievement because of Deep learning, Alexa and Siri understanding your voice, Spotify, and Netflix recommending what you watch next, Facebook tagging all your friends in a photo automatically is the remarkable one. With the continuous progress in speed, memory capacity, the Quantum Computing performance of AI is being enhanced gradually. Simulations that usually take months are available in days, hours, or less.


AI is gaining more attention among students and researchers. But, people still don’t realize that they can’t become an expert using stuff like PyTorch, TensorFlow, etc. Implementing built-in models with frameworks like Keras, Tensorflow, and Scikit is not unique and special, especially, when we are following an online tutorial and simply changing the data to ours. Coming up and understanding the things behind those architectures is extremely hard. We need a full understanding of probability and statistics, information theory, calculus, etc to just grasp the main ideas.

This is all for Machine Learning Interview Question & Answers. Have a good day !!

About Diwas

🚀 I'm Diwas Pandey, a Computer Engineer with an unyielding passion for Artificial Intelligence, currently pursuing a Master's in Computer Science at Washington State University, USA. As a dedicated blogger at AIHUBPROJECTS.COM, I share insights into the cutting-edge developments in AI, and as a Freelancer, I leverage my technical expertise to craft innovative solutions. Join me in bridging the gap between technology and healthcare as we shape a brighter future together! 🌍🤖🔬

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