Get yourself trained on Machine Learning with with this Online Training Machine Learning with Python: Data Science for Beginners.
Online Training Machine Learning with Python: Data Science for Beginners
Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed.Machine Learning is the most in-demand and Highest Paying job of 2017 and the same trend will follow for the coming years. With an average salary of $120,000 (Glassdoor and Indeed), Machine Learning will help you to get one of the top-paying jobs.This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!At the end of the course you will be able toMaster Machine Learning using PythonDemystifying Artificial Intelligence, Machine Learning, Data ScienceExplore & Define a ML use caseML Business Solution BlueprintExplore Spyder, Pandas and NumPyImplement Data EngineeringExploratory Data Analysis Introduction to Statistics and Probability DistributionsLearn Machine Learning MethodologyUnderstand Supervised Learning Supervised LearningImplement Simple & Multiple Linear RegressionDecision TreesRegression & Classification Model EvaluationCross Validation, Hyperparameter Ensemble ModelingRandom Forest & XGBoostLearning Machine Learning is a definite way to advance your careerand will open doors to new Job opportunities.100% MONEY-BACKGUARANTEEThis course comes with a 30-day money back guarantee. If you’re not happy, ask for a refund, all your money back, no questions asked.Feel forward to have a look at course description and demo videos and we look forward to see you inside.
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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.