wandering-nomad

This book is considered a classic but the latest edition was published almost 20 years ago. Is it still relevant? Does it still succeed in its stated goal of bridging the gap between research and commercial software development?

I am a data engineer with decent machine learning skills. I have decided to build expert level knowledge on natural language processing and would like to build a product using that . I learn best through books. Can community members suggest me their top 3 picks to learn it. It would be great if suggestions include a mix of practical and textbooks

I am currently working on improving data quality of global postal addresses that we store. It has turned out to be a lot harder problem to solve than I had originally imagined owing to no standardized format for addresses. I am leaning towards using ML to solve it but cant figure out a way to do that. Can forum members share their experiences if they have solved such problems in the past. I would also appreciate being pointed to some ML/DL research papers/ techniques talking about similar stuff