Sequence Models for Time Series and Natural Language Processing on Google Cloud
via Pluralsight
Overview
In this course, we’ll learn how to make predictions on sequences of data.
In this course, we’ll learn how to make predictions on sequences of data. We’ll cover common business use cases like- 1.time-series prediction and how to deal with more recent data points getting more relevance 2.translating entire sentences (aka sequences of words) into other languages You will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together.
Topics:
In this course, we’ll learn how to make predictions on sequences of data. We’ll cover common business use cases like- 1.time-series prediction and how to deal with more recent data points getting more relevance 2.translating entire sentences (aka sequences of words) into other languages You will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together.
Topics:
- Working with Sequences
- Recurrent Neural Networks
- Dealing with Longer Sequences
- Text Classification
- Reusable Embeddings
- Encoder-Decoder Models
- Summary
Taught by
Google Cloud
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