DeepLearning.AI
Sequences, Time Series and Prediction
DeepLearning.AI

Sequences, Time Series and Prediction

Laurence Moroney

Instructor: Laurence Moroney

141,788 already enrolled

Gain insight into a topic and learn the fundamentals.
4.7

(5,067 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 21 hours
Learn at your own pace
97%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(5,067 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 21 hours
Learn at your own pace
97%
Most learners liked this course

What you'll 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

Details to know

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Assessments

4 assignments

Taught in English

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There are 4 modules in this course

Hi Learners and welcome to this course on sequences and prediction! In this course we'll take a look at some of the unique considerations involved when handling sequential time series data -- where values change over time, like the temperature on a particular day, or the number of visitors to your web site. We'll discuss various methodologies for predicting future values in these time series, building on what you've learned in previous courses!

What's included

10 videos7 readings1 assignment1 programming assignment2 ungraded labs

Having explored time series and some of the common attributes of time series such as trend and seasonality, and then having used statistical methods for projection, let's now begin to teach neural networks to recognize and predict on time series!

What's included

10 videos2 readings1 assignment1 programming assignment3 ungraded labs

Recurrent Neural networks and Long Short Term Memory networks are really useful to classify and predict on sequential data. This week we'll explore using them with time series...

What's included

8 videos4 readings1 assignment1 programming assignment2 ungraded labs

On top of DNNs and RNNs, let's also add convolutions, and then put it all together using a real-world data series -- one which measures sunspot activity over hundreds of years, and see if we can predict using it.

What's included

11 videos9 readings1 assignment1 programming assignment2 ungraded labs

Instructor

Instructor ratings
4.7 (770 ratings)
Laurence Moroney
DeepLearning.AI
19 Courses523,831 learners

Offered by

DeepLearning.AI

Recommended if you're interested in Machine Learning

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