Explore major categories and types of machine learning algorithms.
- [Instructor] As we proceed through this course,…we will look at the GCP ML services…through the lens of the types of machine learning,…this is also called the algorithms,…and these can be classified into three categories…or general types.…The first is supervised learning.…The idea here is that these algorithms use…what are called labeled input data plus algorithms.…So, an example of this is logistic regression,…and sort of the quintessential example is you have a bunch…of animal photos and you want to run the classifier…to figure out which animal is in the photos,…and oftentimes they're cats and dogs.…
So, for use of this type of algorithm,…you would have to locate the input data, so the photos,…but importantly, you would also have…to label a large number of photos…so that your machine learning algorithm could be trained…or could learn from your labeling.…And this is a nontrivial issue around working…with supervised learners.…What I find is many of the commercial ML providers…really gloss over the amount of effort it would take…
- Hosting options: Serverless, containers, and virtual machines
- Enabling the GCP ML AIs
- Preparing data with Cloud Dataflow and Dataprep
- Modeling predictions for images, video, text to speech, and cloud translation
- Machine learning with AutoML
- Advanced machine learning and deep learning
- Machine learning architectures
Skill Level Intermediate
1. Machine Learning on Google Cloud Platform
2. Machine Learning API Services
3. Machine Learning with AutoML
Understand AutoML Vision4m 57s
4. Advanced Machine Learning
5. Machine Learning Architectures
Next steps1m 30s
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