Machine Learning

  • AI  /
  • Machine Learning

Machine learning services are crucial to any business that wants to leverage the power of AI. The cloud-based platforms offer several capabilities to build, deploy, and manage ML models. Some of the key features of ML models are :

Pre-built models
: Standard services like text analysis, sentiment analysis, and natural language processing can be accessed readily.
Data processing and transformation
: Preparatory services to clean, transform, and sanitize the data to be used by the ML frameworks.
Model training
: Train, fine-tune, and evaluate your ML models using these environments and frameworks.
AutoML
: Simplified, standard capability for building ML models, without having a lot of ML expertise.
Deployment
: ML models can be deployed as web services or APIs, and can be trained and re-trained.
Scalability
: On-demand scaling and de-scaling to optimize the pricing.

Rationale while choosing the ML Model :

Business need
Scalability requirement
Ease of use
Cost factors
Integration with the ecosystem