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Machine Learning and Artificial Intelligence (AI) Boot Camp   NEW!

This course is offered through Cloud Genius. You can find more information about Cloud Genius at

Machine Learning and AI Bootcamp includes fundamental concepts of Machine Learning and AI systems and also neural networks and deep learning. The following topics will be covered: Learning by fitting a model to data; Optimizing a cost function; Handling, cleaning, and preparing data; Selecting and engineering features; Selecting a model and tuning hyperparameters using cross-validation, underfitting and overfitting; Linear and Polynomial Regression, Logistic Regression, k-Nearest Neighbors, Support Vector Machines, Decision Trees, Random Forests, and Ensemble methods; Building and training neural nets using TensorFlow; and Understanding feedforward neural nets, convolutional nets, recurrent nets, long short-term memory nets, and autoencoders and techniques for training deep neural nets.

This course involves 48 hours of video conference plus 12 hours of self-paced learning.

Required text: Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron, ISBN 9781491962299 Please use ebook which to get current updates with any approved errata. The ebook may be available for free to Boeing employees via Safari Books Online and for everyone from your local public library.


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