READ Building Machine Learning Powered Applications: Going from Idea to Product – happypink.co.uk
Is extremely lightweight at a little over 200 pages
AND IS TOO HIGH LEVEL TO HAVE ANY PRACTICALITY is too high level to have any practicality content is just an odd assortment of stuff with bizarre sidebars on transfer learning and code snippets with no cohesiveness The chapter on deployment is exactly ten pages long and is a big nothing burger I don t even recommend this book for a beginner because it will confuse them. O improve the model ntil it fulfills your original vision Part IV covers deployment and monitoring strategies This book will help you Define your product goal and set p a machine learning problem Build
your first end to end pipeline ickly and acuire an initial Dataset first end to end pipeline ickly and acuire an initial Dataset And Evaluate Your ML Models And Address Performance Train and evaluate your ML models and address performance Deploy and monitor your models in a production environme.