Get yourself trained on Data Science for with this Online Training Data Science for Interviews.
Online Training Data Science for Interviews
This course is ideal for someone who is wishing to cover every aspect of machine learning theory before their interview or for someone who is looking for a refresher course. No cliches of sexiest job of 21st century, we discuss everything to the point and whatever is relevant for your preparation. There are several skills required for the same job but this course will focus mainly on 1. Probability and statistics2. All machine learning algorithms which one should know3. Data preprocessing 4. Important metrics to evaluate the performanceHowever, it is assumed that the student is proficient in any programming language. This course can cover major part of your theory preparation, so that you can focus more on your project and programming basics.I will be updating the question bank on interview questions side-by-side. I will also be uploading the video transcripts for the videos.Happy learning!
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.
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