From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

Unlock this course with a free trial

Join today to access over 24,700 courses taught by industry experts.

Built-in algorithms recap

Built-in algorithms recap

From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

Start my 1-month free trial Buy for my team

Built-in algorithms recap

“

- [Instructor] Hello, guys, and welcome again. So in today's lesson, we are going to do a recap on the built-in algorithms that we've just mentioned. We're going to discuss briefly the usage of this algorithm, and we're going to state the most optimal EC2 instances to use for training this algorithm. The first algorithm that we have is the BlazingText algorithm. And this algorithm is used for natural language processing tasks. And it contains two modes, the first one being the text classification, which is the supervised mode, and it classifies the sentence into one or more different categories. The second mode is the word-to-vec mode, which maps words to vectors, also called as word embeddings. And the BlazingText algorithm could be trained using a GPU or CPU. Next, we have the DeepAR Forecasting algorithm, and this is a forecasting algorithm. And you could use GPU or CPU for training this algorithm. Next, we have the Factorization Machines, which is used in classification and…

Contents