Machine Learning with Tensorflow on Google Cloud Platform Specialization — Trailer

This trailer is for the online specialization, Machine Learning with Tensorflow on Google Cloud Platform, created by Google Cloud. Enroll today at https://www.coursera.org/specializations/machine-learning-tensorflow-gcp?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=googlecloud to get access to the specialization! About this specialization: What is machine learning (ML), and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by ML, 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? In this Specialization on Coursera, learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. 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. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform. Visit https://www.coursera.org/specializations/machine-learning-tensorflow-gcp?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=googlecloud to learn more! Twitter: https://twitter.com/coursera Facebook: https://www.facebook.com/Coursera/ ------ Coursera partners with more than 275 leading universities and companies to bring flexible, affordable, job-relevant online learning to individuals and organizations worldwide. We offer a range of learning opportunities—from hands-on projects an