Get yourself trained on Machine Learning Model with this Online Training Machine Learning Model To Simple API.
Online Training Machine Learning Model To Simple API
This is the most comprehensive, yet easy to follow, course for creating a machine learning model API. Throughout this course you will learn a variety of techniques used worldwide for API creation from machine learning model. I have gathered information from data competition websites and white papers, blogs and forums, and from the instructors experience as a Data Scientist.You will have at your fingertips, altogether in one place, a variety of techniques that you can apply to make real time use of your machine learning model.The course starts describing the most simple and widely used methods for creating an API for the real time use, and then describes more advanced and innovative techniques that automatically capture insight from your variables. It includes an explanation of the machine learning model techniques, the rationale to use it, and the pros, cons and assumptions it makes. It also includes reading material that you can go through to get deeper knowledge.
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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.