Live Online & Classroom Enterprise Certification Training
What is Machine Learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by Machine Learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Equip your team with skills on how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions through this Machine Learning with TensorFlow on Google Cloud Platform Training
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Machine Learning with TensorFlow on Google Cloud Platform Certification training will give you insights on how to convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem, you will learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of Machine Learning problems. Further experiment with end-to-end Machine Learning, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.
At the end of this Machine Learning with TensorFlow on Google Cloud Platform Training course, you will be able to:
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The trainer for this Google Cloud Platform training has extensive experience in this domain, including years of experience training & mentoring professionals.
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