Get yourself trained on Machine Learning using with this Online Training Machine Learning using Python.
Online Training Machine Learning using Python
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.This training is an introduction to the concept of machine learning, its algorithms and application using Python.The training will include the following;What is Machine Learning? (Intro why its used, Data Science defined)Analytics Defined (Predictive, Prescriptive etc.,)Data Mining Flow(Phases defined with MOdeling phase that involves ML)Explanation on Data SetSupervised LearningUnsupervised LearningClassification AlgorithmsRegression AlgorithmsLinear RegressionLogistic RegressionNaive Bayes ClassifierAnonymous DetectionDecision TreesRandom ForestNeural NetworksK-Means ClusteringApriori algorithmFeature SelectionSupport Ventor MachineBasic explanation on Use CasesBasic Functions defines (Cost function, likelihood function, normalization, trade off etc.,)Primary tools/ Softwares used for MLPython Packages for Machine Learning
Udemy helps organizations of all kinds prepare for the ever-evolving future of work. Our curated collection of top-rated business and technical courses gives companies, governments, and nonprofits the power to develop in-house expertise and satisfy employees’ hunger for learning and development.
Learn on your schedule with Udemy
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.