To begin your ML journey, you can use one of the existing cloud-based services on ML. ML as a Service (MLaaS) is widely used across all contemporary business sectors. Data is becoming cheaper, and data volume is growing exponentially. As a result, the processing power of devices is increasing at a much quicker rate. This trend has made way for multiple cloud-based services, such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), now joined by MLaaS.
Even though we can run an ML model on our mobile device, it is still greatly impacted by limited memory, CPU and Graphics Processing Unit (GPU) resources. In this case, a cloud service comes in handy.
Starting with ML in the cloud, there are multiple services available, such as facial recognition, optical character recognition, image recognition...
