October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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Where to start when developing an ML application
To begin your ML journey, you can use one of the existing cloud based services on ML. Machine learning 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, devices' processing power 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 limited to running most ML models on a local device due to limitation on memory and CPU/GPU. In this case, a ...
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