Sequences, Time Series and Prediction

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Course Features

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Duration

14 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

14 hours

Course Description

You need to be a software developer if you want to create scalable AI-powered algorithms. This specialization will show you how to use TensorFlow, an open-source framework that enables machine learning.

This fourth course will teach you how to create time series models using TensorFlow. First, you will learn how to use best practices to prepare time series data. RNNs and 1D convNets will be explored for prediction. The final step is to apply all the knowledge gained during the Specialization to create a sunspot prediction model based on real-world data. Andrew Ng's Machine Learning Course and Deep Learning Specialization teach the fundamental principles of Machine Learning. The new TensorFlow TensorFlow Specialization from deeplearning.ai teaches you how TensorFlow can be used to implement these principles, so you can begin building and applying scalable model solutions to real-world problems. Deep Learning Specialization is recommended to gain a deeper understanding about how neural networks operate.

Course Overview

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Solve time series and forecasting problems in TensorFlow

Prepare data for time series learning using best practices

Explore how RNNs and ConvNets can be used for predictions

Build a sunspot prediction model using real-world data

Course Instructors

Laurence Moroney

Instructor

Laurence Moroney leads AI Advocacy at Google, with a vision to make AI easy for developers and to widen access to ML careers for everyone. He�s written dozens of programming books, the most recent be...

Course Accreditations

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