Get yourself trained on An Introduction into with this Online Training An Introduction into Machine Learning C++ Libraries.
Online Training An Introduction into Machine Learning C++ Libraries
Being able to perform machine learning in C++ will make you a very desirable hiring target. Not that you wouldnt be if you used any other language but, the truth is that machine learning in C++ is a great combination that is likely to give you access to very interesting positions!In this course, we focus on the practical part of machine learningemploying different C++ libraries. Several popular machine learning libraries currently existwell review them and youll become familiar with four of them. We use examples of standard machine learning algorithms implemented through the libraries. The course ends with hints that will help you to choose a library depending on the requirements of the situation.Taking this course will not only help you build a familiarity with existing machine learning libraries, but also solve complex machine learning problems.ABOUTTHEAUTHORTOMJOY :Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help their clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as Big Data, Data Science, Machine Learning, and Cloud Computing.
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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.