Get yourself trained on Machine Learning in with this Online Training Machine Learning in R.
Online Training Machine Learning in R
Are you interested in the field of Machine Learning?Then enroll in this course and start your data science career today!Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. This course is designed by a university professor to help students quickly get up to speed with powerful Machine Learning applications and apply them to real-world datasets.The course is a step-by-step guide through the world of Machine Learning, starting with basic R programming. With each module you will develop new skills and improve your understanding of this challenging and lucrative sub-field of Data Science.This course isa fun and exciting immersion into Machine Learning. It is structured the following way:Section 1 Introduction to R Section 2 Data Visualization Section 3 Regression Models Section 4 Supervised Classification Section 5 Unsupervised ClassificationSection 6 Kernels The course is packed with practical exercises based on real-lifeapplications. You will get extensive hands-on practice building your own models. The course includes accompanying Rscripts which you will use on your own projects.Enroll in the course and become a data scientist today!
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Investing in yourself through Learning
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.