TensorFlow Developer Certificate - Time Series, Sequences, and Predictions

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Chris Behrens

1:05:52

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1. Course Overview

1. Course Overview.mp4

01:35

2. Understanding and Preparing Time Series Data

1. Intended Outcome and Prerequisites.mp4

02:59

2. Defining Time Series and Sequences.mp4

07:10

3. Demo - Time Series Visualization.mp4

03:29

4. Data Preparation Techniques for Time Series Learning.mp4

03:50

5. Demo - Time Series Data Preparation.mp4

04:13

6. Addressing Sequence Bias in Time Series Analysis.mp4

03:05

7. Demo - Techniques for Identifying and Reducing Sequenc.mp4

04:20

3. Training and Evaluating Time Series Models

1. Overview of Error Metrics.mp4

03:15

2. Understanding the Implications of Mean Absolute Error (M.mp4

01:27

3. Techniques for Model Training and Hyperparameter Tuning.mp4

03:20

4. Demo - Implementing Model Training and Evaluation.mp4

03:40

5. Implementing Recurrent Neural Networks (RNNs).mp4

02:20

6. Demo - Building an RNN for Time Series Prediction.mp4

02:40

7. Implementing Convolutional Neural Networks (CNNs).mp4

02:12

8. Demo - Implementing a CNN for Time Series Prediction.mp4

02:32

4. Implementing Advanced Techniques for Time Series Analysis

1. Understanding Data Windowing in Time Seri.mp4

02:42

2. Trailing and Centered Windows in Time Ser.mp4

01:38

3. Demo - Comparing Trailing Windows.mp4

01:57

4. Leveraging TensorFlow for Forecasting.mp4

01:46

5. Demo - Predictive Modelling with TensorFl.mp4

03:22

6. Advanced Forecasting Techniques with Tens.mp4

02:20

Description

TensorFlow is a powerful open-source library for machine learning and numerical computation to develop and train deep learning models. This course will teach you how to analyze time series data and accurately forecast future events.

What You'll Learn?

Forecasting key business metrics accurately is crucial for making smart decisions and planning for the future. In this course, TensorFlow Developer Certificate - Time Series, Sequences, and Predictions, you’ll gain the ability to build predictive models for time series data using deep learning.

First, you’ll explore how to structure time series problems and preprocess data for modeling.

Next, you’ll discover how to choose and configure deep learning models like RNNs and CNNs for sequence forecasting tasks.

Finally, you’ll learn best practices for training, evaluating, and improving your forecasts over time.

When you’re finished with this course, you’ll have the skills and knowledge of TensorFlow and deep learning for time series needed to accurately forecast metrics like future sales, demand, stock prices, and more.

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TensorFlow

Time Series Analysis

Chris Behrens

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Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.