Explore >> Select a destination
|
You are here 
|
research.google | ||
| | | | |
branchandbound.net
|
|
| | | | | [AI summary] The article discusses the evolution of data science in application development, emphasizing the shift from managing data to deriving insights and creating intelligent user experiences, and outlines the necessary skills and knowledge required to transition from a developer to a data scientist. | |
| | | | |
mikiobraun.wordpress.com
|
|
| | | | | This post has originally been published on the O'Reilly blog. It is based on a talk I gave at Strata in London 2016. Reprinted with permission. Data science has become widely accepted across a broad range of industries in the past few years. Originally more of a research topic, data science has early roots in... | |
| | | | |
ai.googleblog.com
|
|
| | | | | [AI summary] Google Research introduces DIDACT, a novel approach using large sequence models to enhance software development by training them on the dynamic processes of coding, including editing, debugging, and code reviews, rather than just final code outputs. | |
| | | | |
simpleprogrammer.com
|
|
| | | Software Engineering interviews aren't all about coding questions. As has been Simple Programmer's message from the start: Your "Soft Skills" can make or break you in your job hunt and your career success as a whole.Learn how to display the exact behavioral attributes companies are looking for - so you can win at your next [...] | ||
