Natural language processing is a complex and evolving field. Part computer science, part linguistics, part statistics--it can be a challenge deciding where to begin. One starting place is to look at the most influential papers in academic literature--if you can master these papers, then you'll be well on the path to becoming an NLP expert.

• academia
• ai
• books
• nlp

In 2016, Cal Newport introduced a new term into the business lexicon: deep work. It’s an idea that has since taken hold of disaffected knowledge workers everywhere, due in no small part to the promise that they could finally start doing what they were hired to do--create value. More importantly, intertwined with this promise is something more nebulous--something fragile and fleeting. Dare we call it self-actualization?

• books
• essay
• work

One of the most important elements of a software engineer’s personal development is reading. In a field so vast, and so varied, constant reading is important both for building foundational knowledge and exploring branch knowledge. And as in any profession where the written word plays a large role, software has it’s 'must read' books. One of those, is Clean Code, by Robert C. Martin.

• books
• principles
• software
• solid