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Top Machine Learning Interview Questions and Answers for 2017


According to a list released by the popular job portal on 30 fastest growing jobs in technology- With the demand for machine learning engineers and data scientists outstripping the supply, organizations are finding it difficult to hire skilled talent and so are prospective candidates for machine learning jobs finding it difficult to crack a machine learning interview. Machine learning is a broad field and there are no specific machine learning interview questions that are likely to be asked during a machine learning engineer job interview because the machine learning interview questions asked will focus on the open job position the employer is trying to fill. For instance, if you consider a machine learning engineer job role for finance vs. a robotics job, both of them will be completely different in terms of data, architecture and the responsibilities involved. Machine learning engineer job role for robotics will require a candidate to focus working on Neural Networks based architecture while the machine learning tasks for finance will focus working more on Linear and Logistic regression algorithms. A machine learning interview is definitely not a pop quiz and one must know what to expect going in.

Top MLOps Interview Questions.


Model drift, sometimes called concept drift, occurs when the model performance during the inference phase (using real-world data) degrades compared to its performance during the training phase (using historical, labeled data). It is also known as train/serve skew, as the model's performance is skewed when compared with the training and serving phases. To detect model drift, it is always necessary to keep continuously monitoring the performance of the model. If there is a sustained degradation of model performance, the cause must be investigated, and treatment methods must be applied accordingly, which almost always involves model retraining.

Elon Musk doesn't exist


Ladies and gentlemen, you're about to take the red pill. Tesla boss and SpaceX founder Elon Musk knows something the rest of us don't: we don't actually exist. Instead, we're all just software trapped inside an advanced civilization's computer simulation. In fact, Musk says the chances that we're not just pieces of code in a futuristic computer simulation are one in billions. And he says if he's wrong -- if this is reality and not a simulation -- it's the worst news imaginable and the world is about to end.

Can Elon Musk Fix Tesla Model 3 Production Woes Anytime Soon?

International Business Times

Tesla seems to be struggling with mass-production of its first mass-market car, the $35,000 Model 3. Just three days after CEO Elon Musk said in a tweet that "excessive automation" of the company's production line was a mistake, the company put the manufacturing of Model 3 on hold for some days, and a spokesperson said the reason was to "improve automation." When production of the Model 3 sedan began in the second half of 2017, Tesla was targeting rolling off 5,000 vehicles every week by the end of the year. But that deadline has been pushed and reaching that number looks likely to miss its current June-end deadline as well. In an interview to CBS News during a tour of his factory, Musk said Tesla had reduced its reliance on automation in the Model 3 production line, and that the company had been making over 2,000 of those cars every week. "We'll probably have, I don't know, a three or four-fold increase in Model 3 output in the second quarter," he had added.

Machine Learning Interview Questions and Answers


Credo systemz are making it a cakewalk for you by providing a list of most probable Machine learning interview questions. These interview questions and answers are framed by a Machine learning Engineer. This set of Machine learning interview questions and answers is the perfect guide for you to learn all the concepts required to clear a Machine learning interview. To get in-depth knowledge on Machine learning, you can enroll for live Machine learning Certification Training by Credo systemz with 24/7 support and lifetime access. In answering this question, try to show you understand of the broad applications... What is bucketing in machine learning?Converting a (usually continuous) feature into multiple binary... What are the advantages of Naive Bayes?In a Naïve Bayes classifier will converge quicker than discriminative... What is inductive machine learning?The inductive machine learning involves the process of learning... What Are The Three Stages To Build The Model In Machine Learning?(a).