Machine Learning mock interview

Don't get left behind

45 minutes
39 US dollars
Online Live Session

Service Description

Machine learning-related roles, including Research Scientist (Amazon, Google), Data Scientist / Algorithm (Facebook), and Machine Learning Engineers, are highly paid. Super fun often involves working with state-of-the-art algorithms. The hiring process could be highly competitive. Not only will you be asked to be an excellent programmer (easy, medium levels of algorithm questions for sure), but you also need to know machine learning theories and experiences such as model parameter fine-tuning. You will want to brush up on your machine learning skills if you want to succeed in a data science interview. A good place to start is with Andrew Ng's Coursera Machine Learning course. You may also be asked topics such as CNN, NLP, reinforcement learning, computer vision, depends on the specific roles. Deep Learning, The topic of deep learning, is in high demand in the data science world, and it is one of the key things that you want to brush up on if you are interested in pursuing a career in data science. There are a couple of good courses that you can check out, like Stanford's CS231n course. Natural Language Processing (NLP) is an area in data science that is in high demand and will only become more so as we move further into the 21st century. NLP allows us to analyze text, whether spoken or written and derive useful information from it. If you want to be a successful data scientist, you want to work with NLP. This is a great area to pursue as a side project.

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