@SRobTweets created this pyramid to explain the idea.
As you move up the pyramid, less ML expertise is required, and you also donтАЩt need to worry as much about the infrastructure behind your model.
To lear more watch this video ЁЯСЙ
https://t.co/EqJNDmTfhV #31DaysofML 2/10
@SRobTweets If youтАЩre using Open source ML frameworks (#TensorFlow) to build the models, you get the flexibility of moving your workloads across different development & deployment environments. But, you need to manage all the infrastructure yourself for training & serving
#31DaysofML 3/10
@SRobTweets Deep Learning VMs provide managed, click-to-deploy VMs for processing data & training the model
ЁЯФ╣ Popular ML frameworks pre-installed
ЁЯФ╣ Reduces the overhead of managing & allocating compute & storage required
ЁЯФ╣ But you figure out how youтАЩll serve those models
#31DaysofML 4/10
@SRobTweets Kubeflow - OS project for deploying ML workloads on #Kubernetes
ЁЯФ╣ Helps configure a multi-step ML pipeline including pre-processing data, training & serving the model
ЁЯФ╣ Run it on-premise or on any cloud
ЁЯФ╣ YouтАЩll still need to configure where itтАЩs managed
#31DaysofML 5/10
@SRobTweets AI Platform - managed service for all custom model needs
ЁЯФ╣ Includes tools for training & serving models, hosted notebooks, a data labeling service & more
ЁЯФ╣ Eg: take notebook code running on-premise with Kubeflow, and run it on GCP with AI Platform Notebooks
#31DaysofML 6/10
@SRobTweets BQML: Brings the power of ML closer to where the data is analyzed & make it accessible to data analysts
ЁЯФ╣ You donтАЩt have to write any of the underlying model code
ЁЯФ╣ Choose model type
ЁЯФ╣ Simple SQL queries to create & train the model & make predictions
#31DaysofML 7/10
@SRobTweets AutoML democratizes ML to build custom ML models regardless of ML expertise.
ЁЯФ╣ Use the UI to upload the data - images, video, text, or structured
ЁЯФ╣ Press "train" button
ЁЯФ╣ Model is available for prediction via an API
ЁЯФ╣ No need to deploy it yourself
#31DaysofML 8/10
@SRobTweets ML APIs: Easiest and fastest way to get started with AI
ЁЯФ╣ DonтАЩt need ML engineers or data scientists just some developers
ЁЯФ╣ Simple API request to pre-trained models for images, video, speech, text & translation
ЁЯФ╣ No need to supply any training data yourself
#31DaysofML 9/10