Tips & Tricks

Model Creation:

• When collecting the data, quality is better than quantity.
• Define a baseline before creating a model.
• With pipelining( use of Machine Learning Pipeline), we can overcome CPU bottlenecks by overlapping the CPU pre-processing and model execution of accelerators
  Processing Speed:
• Single Instruction Multiple Data(SIMD) refer to a program that is divided into sub-processes (or sometimes not even divided) that work in parallel on multiple data streams or threads.