A good read for beginners. I believe the literature about ML state seems to be a little dated with current times. People and companies are at the phase of alrea

A good read for beginners. I believe the literature about ML state seems to be a little dated with current times. People and companies are at the phase of already implementing ML in their companies, versus figuring out things: How? The ML field gives you options for every user and different levels of expertise. Advanced user: TF or Pytorch, preprocessing: Beam or Spark. Accelerators: GPUs. Tools such as Bigquery ML and AutoML have helped users to get into ML by generating MVP in an easy way. In would love to hear more from people in the field.