Get yourself trained on Modern Data Science with this Online Training Modern Data Science Masterclass.
Online Training Modern Data Science Masterclass
Build Incredible Machine Learning ProjectsMachine learning allows you toanalyze data (or past experiences) and use this knowledge to make decisions in the present or predict what might happen in the future.Sneak peek all the amazing projects we will build in this course:Tensorflow Linear Regression ModelSimple MNIST Digit Recognition ModelDetecting Emotions Image Recognition ModelAdvanced MNIST Neural NetworkCIFAR 10 Data ModelDetecting Faces Machine Learning ModelAdvanced CIFAR 100 Machine Learning ModelStock Market Prediction ModelWhat Makes This CourseUniqueThere are next tonocoursesthat focus onmobilemachine learning in particular. All of them focus specifically on machine learning for a desktop or laptop environment.As well, Ive found that most courses dont do a great job of explaining exactly what is going on at each step in the process and why we choose to build models the way we do. I aim to provide clear, concise explanations at each step along the way so that viewers can not only replicate, but also understand andexpandupon what I teach.Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the following related courses:Predict the stock market with data and model building!Predict the Stock Market and Learn NumPy with Python AIDetect Fraud and Predict the Stock Market with TensorFlow The Complete Unity and Artificial Intelligence MasterclassThe Ultimate Unity Games & Python Artificial IntelligenceHands-On Machine Learning: Learn TensorFlow, Python, & Java!Grow Your PortfolioDiscover the Keras libraryWhat Keras is used forCompare and contrast Keras to TensorFlowLearn where and how to use KerasBuild a simple image recognition project using the CIFAR-10 libraryBuild a basic version in PyCharmSave the trained modelExport the trained model to Android StudioBuild an app around the modelBuild a facial recognition projectBuild a basic version in PyCharmSave the trained modelExport the trained model to Android StudioBuild an app around the modelBuild a happy/sad face detection projectBuild a basic version in PyCharmSave the trained modelExport the trained model to Android StudioBuild an app around the modelAdvanced Topics to build more complex modelsEnroll Now To Learn The Most In Demand Skills Today
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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.