Machine Learning Interview Q&A. Interview Question and Answer for Data Science and Machine Learning Engineers

In this post, I’ll give you a TLDR type overview as well as some details, and you can check out my videos or my public notebook to really delve into the code and the ideas.

Which of the 6 programs should you choose? In this guide, I focus on the so-called MicroMasters programs on the edX platform.

Hypothesis Testing for Data Science & Machine Learning Engineer. What will we do with all this statistics and probability theory? The science part of data science frequently involves forming and testing hypotheses about our data and the processes that generate it.

It is hard to do data science without some sort of understanding of probability and it’s mathematics. As with our treatment of statistics in article (Statistics for Data Science), we’ll wave our hands a lot and elide many of the technicalities.

Statistics for Data Science and Machine Learning Engineer. I’ll try to teach you just enough to be dangerous, and pique your interest just enough that you’ll go off and learn more.

My journey from learning Python to passing the TensorFlow Developers Exam in less than 5 months. I recently graduated with a bachelor’s degree in Civil Engineering and was all set to start with a Master’s degree in Transportation Engineering this fall. Unfortunately, my plans got pushed to the winter term because of COVID-19. So as of January this year, I have had no school and no work.

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.